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Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9680", "5857", "15768", "13098", "14995", "16761", "13805", "12203", "4069", "10149", "4899", "10269", "3049", "11189", "2456", "8103", "16964", "15339", "14763", "8624" ], "interaction": [ "4787", "5634", ...
{ "recommended": [ "15339", "13098", "10149", "5857", "9680", "10269", "4899", "14763", "15768", "16761" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "16417", "7569", "12081", "13649", "15458", "13849", "11213", "15075", "11210", "16072", "16778", "12394", "9736", "13549", "8185", "9842", "14837", "9277", "10959", "7551" ], "interaction": [ "11681", "4787"...
{ "recommended": [ "15458", "7569", "16778", "12394", "16072", "14837", "11213", "12081", "11210", "7551" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "14260", "13572", "13377", "12711", "11964", "11684", "10285", "14447", "8419", "9548", "9068", "12232", "14772", "4656", "11712", "9089", "7399", "10396", "10193", "10376" ], "interaction": [ "5918", "9479",...
{ "recommended": [ "14447", "13572", "13377", "11964", "4656", "8419", "10396", "11712", "9089", "10285" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13218", "4683", "14879", "9206", "2577", "6289", "6277", "2193", "14962", "11262", "11261", "4443", "15449", "2068", "13610", "10923", "13012", "6288", "13847", "3952" ], "interaction": [ "9690", "8395", ...
{ "recommended": [ "2577", "6277", "2193", "3952", "14962", "11262", "2068", "4683", "13012", "4443" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4882", "7768", "14763", "11189", "13549", "10000", "11805", "10027", "5869", "17677", "14807", "14995", "4845", "12412", "7284", "782", "13436", "17426", "13098", "10294" ], "interaction": [ "11767", "16086"...
{ "recommended": [ "782", "7768", "14807", "14763", "17426", "11189", "10027", "10000", "17677", "13549" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13098", "5640", "6197", "469", "16651", "4069", "10149", "12203", "7737", "7320", "5828", "5634", "14995", "10027", "5857", "9236", "9967", "7305", "4899", "2456" ], "interaction": [ "7304", "1928", "142...
{ "recommended": [ "16651", "2456", "5634", "4069", "9967", "10149", "7737", "10027", "12203", "5857" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10032", "12149", "11632", "15427", "10297", "13914", "10294", "5374", "2040", "10830", "13916", "10016", "14658", "7284", "11880", "5953", "9775", "11189", "6494", "9711" ], "interaction": [ "11824", "16409"...
{ "recommended": [ "10830", "13914", "10032", "10297", "13916", "11189", "9775", "12149", "6494", "9711" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "18158", "17051", "10277", "11214", "11210", "4185", "16047", "17195", "16062", "13001", "16154", "15970", "13604", "11375", "13460", "16398", "13549", "15977", "3768", "15984" ], "interaction": [ "789", "521...
{ "recommended": [ "18158", "16154", "4185", "13001", "17195", "3768", "13604", "15977", "17051", "11375" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "15079", "1683", "13004", "9773", "18154", "9979", "13514", "13454", "6769", "108", "5000", "10078", "8992", "14929", "11450", "9767", "15192", "9895", "10472", "8816" ], "interaction": [ "1948", "1227", ...
{ "recommended": [ "13454", "6769", "1683", "13004", "14929", "8992", "5000", "10472", "9979", "108" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "17515", "14991", "14716", "15076", "16072", "17691", "8056", "18189", "14542", "16949", "15508", "10660", "13112", "13460", "17051", "16417", "9736", "14972", "11852", "14312" ], "interaction": [ "12570", "1...
{ "recommended": [ "18189", "16949", "17051", "14991", "13112", "14312", "17515", "14972", "13460", "15508" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9104", "14122", "14724", "13727", "4220", "1141", "9267", "14739", "8220", "3893", "13148", "6748", "57", "1093", "4327", "2058", "3784", "13397", "2004", "13534" ], "interaction": [ "4882", "12550", "43...
{ "recommended": [ "14739", "13727", "8220", "4327", "1093", "3784", "2004", "13148", "9267", "2058" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4852", "10556", "7642", "13545", "12212", "16439", "8538", "2925", "9132", "15509", "12539", "14815", "10359", "9534", "12466", "10425", "14891", "15136", "17097", "9688" ], "interaction": [ "13998", "16614"...
{ "recommended": [ "12466", "10359", "10556", "9132", "15509", "12212", "4852", "9534", "14891", "17097" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13013", "4425", "17856", "15209", "14213", "15076", "17540", "14312", "9277", "11214", "16417", "18296", "10908", "15109", "10038", "15107", "10661", "17581", "13604", "6063" ], "interaction": [ "12474", "16...
{ "recommended": [ "15209", "15076", "4425", "13604", "13013", "11214", "6063", "15109", "17856", "17581" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7402", "2659", "3494", "6269", "8413", "6573", "6628", "721", "14220", "14757", "8875", "11955", "4722", "9710", "6571", "8593", "6152", "6580", "6240", "518" ], "interaction": [ "5799", "4030", "11944",...
{ "recommended": [ "14757", "4722", "6573", "518", "14220", "6580", "721", "8593", "3494", "11955" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "14725", "17772", "16991", "8500", "16686", "12326", "6423", "4768", "14394", "15403", "4343", "17181", "7676", "3646", "4324", "14724", "8411", "4960", "13911", "16439" ], "interaction": [ "5838", "9230", ...
{ "recommended": [ "8411", "17772", "14725", "8500", "16991", "14394", "16439", "6423", "4324", "4343" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9811", "17348", "13280", "13081", "13424", "17430", "13714", "15195", "15943", "17426", "16757", "11752", "17431", "15607", "9974", "14712", "15192", "16201", "12122", "15193" ], "interaction": [ "8671", "13...
{ "recommended": [ "17431", "9974", "11752", "12122", "17348", "16757", "13424", "15193", "15943", "15195" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10660", "17913", "14991", "17515", "17580", "14841", "16380", "16949", "16683", "13013", "15290", "16719", "16911", "15076", "11852", "18048", "1872", "16503", "16235", "11210" ], "interaction": [ "5450", "8...
{ "recommended": [ "11210", "16683", "1872", "10660", "13013", "17580", "16911", "16235", "14841", "15076" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7117", "13835", "11209", "15697", "8185", "12107", "16195", "8168", "8170", "13693", "10663", "13561", "11313", "8651", "14720", "11852", "16072", "12841", "9249", "9907" ], "interaction": [ "3514", "9255", ...
{ "recommended": [ "13693", "14720", "16195", "7117", "8168", "12841", "8651", "11209", "8170", "13561" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7341", "8655", "15919", "6555", "2876", "9736", "10146", "5186", "5456", "11215", "11628", "7795", "3012", "5103", "6224", "7102", "8185", "9277", "2986", "6085" ], "interaction": [ "4107", "2487", "1174...
{ "recommended": [ "11628", "8655", "10146", "7795", "5456", "11215", "2986", "7341", "9736", "9277" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "12444", "17923", "15886", "13916", "12469", "13535", "11189", "13915", "10016", "14192", "13597", "17051", "13551", "17607", "9711", "15979", "11997", "11396", "5953", "16809" ], "interaction": [ "4188", "14...
{ "recommended": [ "17607", "15979", "10016", "5953", "11997", "15886", "13535", "12444", "11189", "13916" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "12079", "8875", "7402", "13188", "7430", "12406", "5185", "13187", "11685", "8413", "11049", "6237", "8118", "14220", "6571", "3275", "11955", "9710", "2659", "10812" ], "interaction": [ "6240", "6269", ...
{ "recommended": [ "14220", "12406", "11685", "5185", "8118", "13187", "6237", "8875", "2659", "13188" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "14933", "11712", "16991", "16907", "14932", "13862", "16041", "6115", "9534", "14778", "12720", "14891", "15741", "807", "15857", "215", "14122", "13545", "14904", "17034" ], "interaction": [ "15739", "17596...
{ "recommended": [ "14122", "16041", "16907", "15857", "14933", "14904", "13545", "14891", "6115", "13862" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13098", "14995", "13805", "16967", "13280", "12464", "16757", "16263", "17795", "8359", "13495", "5142", "15768", "860", "13081", "17426", "11767", "4070", "16272", "13431" ], "interaction": [ "12203", "1375...
{ "recommended": [ "13495", "4070", "17795", "13081", "14995", "16757", "860", "16272", "12464", "8359" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7326", "6518", "14522", "470", "14640", "12651", "10263", "14463", "6239", "13209", "8530", "5015", "6583", "15999", "2072", "17596", "1187", "6840", "6563", "13956" ], "interaction": [ "2162", "5325", "...
{ "recommended": [ "17596", "6840", "15999", "8530", "14522", "1187", "5015", "14640", "10263", "7326" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "16774", "17069", "13402", "16271", "15121", "6045", "3582", "16355", "12898", "14455", "14946", "1141", "14836", "16726", "2662", "15779", "11696", "14887", "17501", "16326" ], "interaction": [ "10236", "245...
{ "recommended": [ "6045", "17501", "16326", "16774", "2662", "14455", "16726", "11696", "13402", "14836" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6239", "13549", "13098", "4787", "8002", "12203", "11767", "7028", "11189", "15768", "9736", "10263", "4069", "9251", "9775", "14763", "14995", "9714", "9756", "7168" ], "interaction": [ "10089", "1528", ...
{ "recommended": [ "8002", "7168", "9251", "7028", "13098", "15768", "4787", "14763", "14995", "6239" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "16086", "16761", "12957", "15237", "13893", "8605", "8624", "18186", "16485", "15739", "14257", "15884", "17874", "5811", "4200", "14873", "14995", "11132", "10062", "15058" ], "interaction": [ "1204", "1811...
{ "recommended": [ "17874", "16485", "14257", "16086", "15058", "8624", "15884", "18186", "14873", "11132" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "14786", "12314", "16991", "14647", "8995", "8618", "8902", "18168", "17218", "14666", "7709", "13003", "13911", "12501", "11052", "6193", "18154", "17284", "14904", "5734" ], "interaction": [ "3255", "5634",...
{ "recommended": [ "18154", "17284", "14647", "18168", "13003", "5734", "14786", "12314", "6193", "14904" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13032", "6780", "7117", "16853", "8889", "14012", "13649", "11503", "13693", "8191", "13835", "12266", "8190", "14213", "11213", "9842", "12504", "11091", "8185", "9512" ], "interaction": [ "6449", "7574", ...
{ "recommended": [ "12504", "8191", "11213", "8190", "13835", "8185", "8889", "11091", "13032", "13693" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13431", "921", "13098", "16201", "6187", "5000", "13916", "6720", "13915", "4069", "13003", "10014", "7180", "2040", "13714", "12122", "16757", "15192", "13918", "10897" ], "interaction": [ "10274", "14941",...
{ "recommended": [ "13915", "10897", "13431", "13918", "13714", "4069", "12122", "13098", "13916", "6187" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8185", "4425", "11091", "2523", "10277", "11003", "1872", "17888", "16062", "11209", "13013", "9842", "16719", "9251", "12982", "14283", "12841", "578", "10513", "10058" ], "interaction": [ "1447", "586", ...
{ "recommended": [ "10277", "578", "1872", "14283", "16719", "16062", "11003", "2523", "11209", "9251" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1433", "10376", "3258", "6462", "13569", "8419", "15687", "3619", "14606", "5126", "18112", "6423", "8320", "15176", "7992", "2162", "8500", "10489", "5166", "14956" ], "interaction": [ "2594", "6113", "...
{ "recommended": [ "14956", "13569", "8320", "15687", "5166", "15176", "3619", "5126", "8419", "8500" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13549", "14213", "8876", "17051", "11210", "15458", "14837", "11852", "17129", "17913", "15076", "17792", "14284", "13460", "16157", "16683", "16417", "13013", "17691", "14312" ], "interaction": [ "13992", "...
{ "recommended": [ "17129", "14837", "17913", "16417", "15076", "14312", "8876", "13460", "17792", "15458" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11266", "13814", "6002", "8995", "15083", "913", "9597", "9979", "6720", "14487", "5003", "12012", "17334", "8093", "5000", "10782", "6196", "10902", "13003", "14929" ], "interaction": [ "5313", "8930", ...
{ "recommended": [ "6196", "6002", "14929", "5003", "9597", "13814", "8995", "8093", "14487", "11266" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9756", "9719", "16263", "17084", "10000", "15643", "14561", "17628", "14995", "15121", "14350", "17238", "13098", "12954", "15768", "16757", "15092", "15359", "13805", "8902" ], "interaction": [ "13768", "45...
{ "recommended": [ "17238", "14995", "15121", "15359", "16757", "9719", "12954", "15768", "15643", "15092" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13460", "15076", "15970", "14612", "14972", "17691", "1872", "16380", "16719", "14991", "14557", "13433", "16949", "17515", "16062", "13009", "11214", "11852", "16235", "16399" ], "interaction": [ "10056", "...
{ "recommended": [ "14612", "13009", "17691", "16235", "14972", "16062", "11214", "11852", "16949", "14557" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "15165", "14043", "15116", "10660", "16361", "13835", "17370", "15699", "11209", "8185", "13384", "12677", "3977", "15075", "16417", "14496", "11091", "17581", "14064", "15920" ], "interaction": [ "13588", "6...
{ "recommended": [ "17370", "14064", "16361", "17581", "3977", "14043", "8185", "14496", "15920", "15116" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "15075", "14744", "11852", "9736", "15076", "4188", "10263", "11189", "11055", "8185", "1566", "9251", "12394", "11767", "10660", "4069", "4689", "8624", "13112", "12089" ], "interaction": [ "2027", "3983", ...
{ "recommended": [ "13112", "1566", "15076", "15075", "8624", "12089", "14744", "11189", "11767", "11852" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "14213", "17084", "12677", "15920", "12404", "3977", "11209", "8888", "15699", "10660", "11500", "8185", "15165", "14305", "14496", "2223", "16935", "14064", "14043", "9255" ], "interaction": [ "343", "9891",...
{ "recommended": [ "16935", "15920", "14496", "15699", "14305", "10660", "14043", "3977", "9255", "8888" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "12469", "17581", "7123", "14213", "15018", "14346", "15665", "17637", "9418", "2999", "13915", "16682", "16796", "14573", "14604", "17732", "17195", "9866", "17548", "15253" ], "interaction": [ "12754", "127...
{ "recommended": [ "15018", "14346", "16796", "17637", "16682", "15253", "17732", "14604", "9866", "15665" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13507", "8195", "7102", "10056", "249", "13013", "13649", "12024", "11209", "12170", "9252", "12504", "8185", "8803", "7951", "7103", "10773", "9251", "15076", "12008" ], "interaction": [ "13011", "10153", ...
{ "recommended": [ "12024", "10773", "13649", "7103", "8803", "7951", "8185", "8195", "12504", "249" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13835", "15076", "11209", "9736", "11852", "16683", "9842", "12004", "14064", "14497", "13013", "9251", "8185", "12394", "9249", "15290", "10660", "14283", "10058", "15336" ], "interaction": [ "9514", "12024...
{ "recommended": [ "9249", "16683", "13013", "14064", "13835", "10058", "15336", "12394", "11209", "9842" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10056", "15076", "18116", "14312", "17375", "14213", "14542", "10218", "16072", "15699", "16547", "17691", "13649", "14995", "15934", "17621", "11500", "13849", "16861", "13433" ], "interaction": [ "6558", "...
{ "recommended": [ "10218", "18116", "17691", "16547", "16861", "11500", "14995", "15934", "14213", "16072" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "12555", "7440", "13835", "11313", "8170", "10409", "14213", "15109", "12550", "12215", "8185", "13098", "13013", "17674", "10342", "7922", "13728", "5453", "17691", "5200" ], "interaction": [ "933", "12958",...
{ "recommended": [ "10342", "5453", "17691", "12550", "13098", "8185", "5200", "12555", "12215", "13728" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "15449", "15392", "14534", "6571", "8178", "13847", "18236", "2969", "6231", "10665", "8729", "8875", "6548", "6288", "2194", "17531", "11381", "6219", "9206", "8293" ], "interaction": [ "521", "2562", "5...
{ "recommended": [ "18236", "17531", "6288", "2194", "15449", "2969", "9206", "6548", "15392", "13847" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "16967", "11346", "7366", "12058", "14133", "9534", "2", "9923", "18112", "14933", "4852", "14145", "2758", "17181", "8902", "1194", "14891", "16991", "414", "5166" ], "interaction": [ "2659", "13187", "5...
{ "recommended": [ "16967", "11346", "14133", "18112", "8902", "12058", "4852", "14933", "9923", "2758" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "17218", "13848", "805", "11667", "9743", "9991", "6068", "8220", "8442", "8339", "7399", "7175", "6818", "16168", "8684", "16084", "16260", "14955", "866", "14048" ], "interaction": [ "655", "5272", "813...
{ "recommended": [ "17218", "13848", "14955", "7175", "8442", "805", "866", "11667", "16084", "8339" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11615", "11370", "8589", "10444", "9361", "685", "13212", "7860", "1545", "174", "935", "1811", "7186", "17017", "10566", "6778", "3058", "11200", "13504", "10818" ], "interaction": [ "295", "1188", "120...
{ "recommended": [ "17017", "11615", "10566", "7186", "10444", "1545", "9361", "174", "13212", "11370" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11796", "13600", "11189", "7579", "13098", "11752", "7340", "17426", "14995", "7320", "7284", "18041", "5700", "17418", "13551", "13805", "10016", "11376", "16520", "16272" ], "interaction": [ "643", "5822",...
{ "recommended": [ "16520", "16272", "14995", "10016", "7340", "11189", "17426", "7579", "17418", "13805" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "17989", "9251", "10443", "10056", "8185", "9312", "6224", "9774", "12266", "8168", "9700", "17781", "10660", "9736", "10959", "15075", "14495", "9277", "15633", "15076" ], "interaction": [ "15395", "4030", ...
{ "recommended": [ "17989", "14495", "8185", "9700", "10959", "10056", "9251", "15076", "10443", "15633" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3332", "333", "14989", "12982", "13097", "15984", "10294", "10758", "13013", "13603", "14192", "1872", "9711", "12208", "5953", "10793", "15339", "17561", "16143", "15996" ], "interaction": [ "9506", "14022"...
{ "recommended": [ "17561", "333", "13013", "10294", "13097", "1872", "15996", "14989", "12982", "5953" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2816", "15857", "9656", "8753", "13377", "9089", "10396", "9836", "1178", "5510", "16070", "5473", "4862", "10193", "14578", "7482", "7399", "4717", "5470", "11712" ], "interaction": [ "16516", "366", "1...
{ "recommended": [ "9836", "9656", "8753", "7399", "11712", "10396", "10193", "14578", "16070", "4862" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7340", "10016", "13597", "17628", "9251", "5700", "11875", "16272", "13549", "16682", "10294", "14203", "17069", "14348", "13001", "16555", "17051", "13551", "15768", "15188" ], "interaction": [ "13010", "10...
{ "recommended": [ "9251", "15188", "17069", "15768", "7340", "11875", "10294", "16272", "5700", "13001" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "18201", "6269", "6613", "6563", "5371", "8875", "14513", "8530", "1334", "7326", "16647", "1506", "15739", "6021", "7402", "6452", "7613", "11767", "7186", "14463" ], "interaction": [ "7164", "18030", "8...
{ "recommended": [ "6021", "6452", "11767", "5371", "18201", "7402", "8530", "7326", "7186", "14463" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "17691", "6224", "15697", "12394", "11003", "11213", "13649", "10661", "6832", "15303", "8175", "9251", "14213", "11210", "12555", "15076", "8163", "9512", "13189", "8185" ], "interaction": [ "2833", "6092", ...
{ "recommended": [ "6832", "8175", "15697", "9512", "8163", "9251", "11213", "6224", "10661", "15076" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "16685", "11547", "13510", "16084", "15235", "5906", "1255", "15651", "17736", "16565", "15870", "14216", "16469", "16189", "16472", "13669", "15748", "14504", "11946", "11665" ], "interaction": [ "6644", "33...
{ "recommended": [ "15870", "13669", "15651", "17736", "11946", "14504", "16685", "13510", "16472", "16189" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7491", "4143", "4048", "14447", "4537", "5478", "8478", "5010", "2816", "13971", "14796", "674", "14015", "1662", "1786", "8455", "11690", "6423", "1178", "3617" ], "interaction": [ "7996", "11510", "119...
{ "recommended": [ "7491", "4143", "8478", "14447", "4537", "2816", "6423", "4048", "1178", "14015" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1769", "2242", "7394", "2816", "5478", "10913", "3356", "9224", "1974", "11644", "9089", "2278", "7399", "1790", "4543", "1178", "4656", "2133", "6877", "1990" ], "interaction": [ "394", "12158", "8450",...
{ "recommended": [ "6877", "1769", "1790", "2133", "11644", "10913", "2816", "3356", "1178", "1990" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3356", "15383", "13663", "1674", "9600", "13619", "3903", "14260", "10396", "7399", "9070", "9089", "9548", "11684", "4545", "14933", "10380", "11712", "1425", "13572" ], "interaction": [ "9068", "1719", ...
{ "recommended": [ "15383", "11684", "3903", "14933", "13663", "10396", "14260", "9089", "3356", "13619" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6159", "15712", "11259", "7992", "7694", "16600", "897", "12094", "3558", "2180", "2758", "15332", "13911", "7685", "12097", "3470", "10920", "169", "12224", "7316" ], "interaction": [ "3232", "12707", "...
{ "recommended": [ "3558", "2180", "11259", "15332", "7685", "169", "12224", "12094", "897", "7992" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "14865", "14856", "10444", "2596", "13098", "14539", "2925", "13274", "1545", "935", "14122", "15779", "2564", "3459", "13496", "11370", "3058", "7891", "12212", "13044" ], "interaction": [ "2804", "4978", ...
{ "recommended": [ "14856", "13496", "1545", "11370", "2925", "10444", "14539", "13098", "14122", "935" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10675", "15544", "1009", "15238", "7157", "12480", "4770", "5135", "8442", "2925", "14995", "11458", "3145", "16230", "3387", "13328", "7465", "16260", "328", "819" ], "interaction": [ "10328", "4787", "...
{ "recommended": [ "15544", "819", "4770", "16260", "7157", "12480", "3145", "14995", "8442", "2925" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2193", "9206", "6260", "17067", "10610", "13847", "11590", "6219", "1726", "8729", "10923", "15449", "15394", "6231", "8293", "13218", "8549", "6288", "17936", "11261" ], "interaction": [ "10257", "14736", ...
{ "recommended": [ "17936", "1726", "11590", "9206", "6231", "6288", "6260", "11261", "13847", "8549" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "17993", "18222", "18060", "8724", "18214", "17987", "14764", "18344", "1704", "999", "17217", "18204", "18023", "18054", "10525", "18078", "18166", "14567", "12090", "17706" ], "interaction": [ "16685", "130...
{ "recommended": [ "1704", "14764", "8724", "18214", "18054", "18166", "18344", "18060", "18204", "12090" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "14346", "10826", "16595", "16594", "17580", "17982", "8605", "6303", "15076", "17092", "13013", "15814", "16808", "11210", "13139", "16547", "16110", "15385", "16258", "17257" ], "interaction": [ "6960", "10...
{ "recommended": [ "6303", "16110", "15814", "16258", "10826", "15385", "17982", "16594", "15076", "13013" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5739", "6218", "824", "12418", "2818", "4824", "9708", "8044", "17218", "11891", "9636", "9380", "4468", "866", "5733", "14724", "17899", "831", "9543", "828" ], "interaction": [ "681", "11234", "18163",...
{ "recommended": [ "9636", "831", "9708", "11891", "9543", "4468", "2818", "6218", "17218", "866" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4717", "8538", "9948", "17218", "5868", "1839", "9014", "12418", "10880", "1338", "8221", "5307", "16916", "16230", "7157", "9636", "6985", "6218", "11464", "5865" ], "interaction": [ "35", "10986", "460...
{ "recommended": [ "11464", "5865", "4717", "7157", "17218", "1839", "8538", "1338", "9636", "16230" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "14649", "12717", "14710", "5980", "12241", "6361", "4011", "3619", "10376", "5837", "10396", "10195", "17057", "6423", "15410", "15403", "8442", "12303", "3710", "13868" ], "interaction": [ "2492", "14166", ...
{ "recommended": [ "8442", "14649", "6361", "10195", "3619", "17057", "14710", "6423", "5980", "10396" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "14350", "7428", "13836", "11752", "5573", "12954", "4069", "10757", "12851", "2650", "13805", "11951", "9719", "7668", "11632", "11145", "9509", "13649", "12133", "14434" ], "interaction": [ "3367", "8583", ...
{ "recommended": [ "9509", "7428", "13649", "10757", "13836", "12851", "7668", "11951", "14434", "11752" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "174", "9736", "18201", "15021", "15076", "10058", "5201", "13649", "17365", "17683", "14284", "11852", "7208", "13460", "14621", "17002", "14690", "17342", "16072", "11767" ], "interaction": [ "7551", "11209...
{ "recommended": [ "17342", "14690", "14284", "9736", "5201", "15076", "18201", "17002", "15021", "7208" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "15804", "5087", "11978", "1478", "10759", "9701", "11206", "13507", "13936", "10773", "1076", "12694", "10412", "4707", "3375", "11971", "4071", "7102", "13468", "245" ], "interaction": [ "2928", "13437", ...
{ "recommended": [ "13468", "11971", "9701", "4071", "245", "15804", "1076", "11206", "10412", "11978" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "16766", "13395", "10380", "9068", "3888", "5837", "9070", "3710", "10385", "15403", "7711", "12711", "9089", "14710", "1617", "11712", "12245", "13518", "1051", "7233" ], "interaction": [ "6742", "7399", ...
{ "recommended": [ "12245", "7711", "10385", "12711", "16766", "10380", "3710", "13395", "11712", "5837" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3058", "10461", "14598", "13039", "16237", "13490", "10848", "2454", "174", "11013", "3272", "13504", "17232", "3443", "7830", "935", "9111", "10460", "1545", "685" ], "interaction": [ "7530", "7891", "9...
{ "recommended": [ "13490", "11013", "2454", "17232", "3272", "1545", "9111", "13039", "174", "13504" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13024", "7102", "4251", "6320", "13080", "11363", "7951", "12280", "249", "13243", "10759", "350", "11211", "8225", "10597", "7103", "10038", "10661", "14213", "10153" ], "interaction": [ "20", "700", "1...
{ "recommended": [ "10661", "4251", "7102", "7951", "10759", "10597", "249", "13243", "13080", "14213" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9895", "6562", "18154", "12067", "10078", "13004", "1445", "13900", "8741", "9767", "3493", "13587", "8816", "9773", "5000", "4993", "6511", "8992", "10472", "7758" ], "interaction": [ "912", "7069", "15...
{ "recommended": [ "4993", "6562", "8992", "9773", "13004", "18154", "7758", "10472", "8816", "12067" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9469", "11934", "4069", "249", "245", "18", "5209", "13936", "2456", "6239", "10776", "6285", "2601", "7647", "5087", "2876", "13507", "3046", "15107", "2120" ], "interaction": [ "246", "9386", "5218", ...
{ "recommended": [ "9469", "18", "245", "2601", "2456", "2120", "5087", "249", "11934", "15107" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "17493", "11550", "4852", "10107", "2876", "6555", "15076", "12963", "8814", "11214", "6503", "13433", "11051", "11823", "1019", "15745", "7951", "1724", "15919", "11053" ], "interaction": [ "12982", "13011",...
{ "recommended": [ "12963", "11053", "6555", "15919", "1724", "2876", "7951", "4852", "6503", "15076" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13328", "11996", "11667", "9068", "11027", "14955", "10327", "7465", "8339", "9908", "11322", "12963", "9130", "5307", "11712", "874", "8442", "14457", "9085", "9368" ], "interaction": [ "401", "803", "1...
{ "recommended": [ "12963", "8339", "11996", "14457", "8442", "10327", "11322", "11667", "11027", "5307" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3356", "8115", "3616", "4049", "2277", "8419", "4927", "1394", "4395", "9479", "2242", "6112", "8559", "3631", "4685", "2816", "1838", "1662", "6166", "9549" ], "interaction": [ "5904", "2914", "5296", ...
{ "recommended": [ "1838", "4049", "4395", "4685", "2277", "1394", "6112", "8559", "4927", "1662" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6240", "12068", "14463", "13188", "14220", "6237", "6583", "10959", "758", "13187", "6269", "11955", "8413", "16861", "9710", "6239", "6571", "7276", "11685", "8875" ], "interaction": [ "4431", "2370", "...
{ "recommended": [ "6571", "6240", "10959", "7276", "6583", "6237", "758", "16861", "8413", "13188" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11982", "15076", "8803", "1872", "11856", "7951", "13650", "11852", "9251", "16452", "7103", "14213", "11522", "13013", "249", "12982", "4425", "13604", "10058", "13024" ], "interaction": [ "7102", "2532", ...
{ "recommended": [ "13013", "7103", "9251", "7951", "249", "11856", "10058", "15076", "1872", "11852" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9967", "17218", "17483", "11523", "16189", "5311", "16691", "15507", "17821", "13437", "16231", "11301", "16168", "14122", "17196", "7780", "16966", "12341", "5307", "16260" ], "interaction": [ "819", "14934...
{ "recommended": [ "12341", "16966", "17483", "16168", "16189", "11523", "16231", "17821", "13437", "17218" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13561", "6878", "7102", "11313", "9255", "13206", "14012", "9115", "8676", "8185", "14043", "13835", "9759", "6224", "10959", "15165", "3046", "14064", "8188", "13649" ], "interaction": [ "6306", "11688", ...
{ "recommended": [ "13206", "14043", "10959", "14012", "8676", "13561", "14064", "7102", "6224", "6878" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "13910", "11583", "4344", "10675", "2733", "13078", "4041", "7399", "11712", "11458", "805", "126", "2277", "763", "1371", "2654", "3513", "2816", "1790", "11667" ], "interaction": [ "11582", "2009", "646...
{ "recommended": [ "2733", "763", "805", "13910", "126", "7399", "2816", "2277", "3513", "4041" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9826", "14914", "9965", "12484", "9235", "12213", "9656", "14995", "5828", "960", "13962", "4627", "6550", "6129", "14017", "8342", "10000", "10027", "11074", "10667" ], "interaction": [ "3705", "5528", ...
{ "recommended": [ "13962", "11074", "14914", "9965", "12484", "4627", "9826", "960", "10027", "9235" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "14115", "9251", "11852", "15732", "3298", "12974", "14213", "12982", "4167", "9736", "10056", "8185", "9759", "9115", "7102", "11522", "10766", "13425", "12080", "7662" ], "interaction": [ "8813", "2718", ...
{ "recommended": [ "7662", "4167", "7102", "12080", "9251", "14115", "12982", "10056", "15732", "13425" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10911", "15399", "10959", "8876", "8185", "12805", "15075", "9277", "11213", "11003", "15076", "13013", "9736", "10661", "16072", "16778", "4425", "8803", "12170", "9842" ], "interaction": [ "14474", "3398",...
{ "recommended": [ "12170", "10911", "11003", "4425", "15075", "8185", "15076", "16778", "12805", "9277" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3369", "9736", "12214", "17621", "14864", "17363", "10663", "8305", "102", "14495", "15739", "11189", "16786", "15447", "7102", "7951", "14522", "15821", "15536", "11787" ], "interaction": [ "6446", "16790",...
{ "recommended": [ "17363", "11787", "7951", "14864", "7102", "15821", "102", "15536", "8305", "15447" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "12149", "7951", "9308", "7367", "5931", "5932", "7102", "13915", "5268", "4069", "13098", "6644", "12150", "10016", "11189", "13900", "13728", "6640", "7284", "10412" ], "interaction": [ "13590", "6112", ...
{ "recommended": [ "7367", "6640", "13098", "7951", "13728", "12149", "12150", "7102", "5932", "6644" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8220", "11027", "9908", "13678", "14933", "7399", "7465", "14955", "794", "8442", "8840", "874", "9699", "11712", "9368", "2787", "14778", "805", "2050", "16691" ], "interaction": [ "3756", "3886", "1073...
{ "recommended": [ "13678", "2787", "14933", "8840", "9699", "14955", "9368", "8442", "874", "9908" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10681", "14712", "7184", "17362", "7305", "11666", "1454", "5276", "16784", "2148", "17429", "16985", "11798", "14456", "9535", "6672", "9217", "11832", "15363", "10634" ], "interaction": [ "12061", "7583", ...
{ "recommended": [ "16784", "11832", "5276", "11798", "15363", "7305", "17362", "9535", "10634", "14712" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2586", "13649", "4780", "11206", "11211", "10759", "7951", "11522", "8444", "2876", "2033", "8185", "11982", "12256", "11934", "10776", "13013", "10218", "7102", "5399" ], "interaction": [ "228", "2583", ...
{ "recommended": [ "10218", "7102", "2586", "12256", "8444", "2033", "11206", "2876", "11982", "10776" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11955", "470", "13187", "8593", "11695", "7326", "6269", "5287", "6583", "14220", "12126", "6571", "7402", "11685", "9599", "13188", "7276", "8875", "7286", "6240" ], "interaction": [ "817", "4336", "137...
{ "recommended": [ "7286", "6269", "14220", "6583", "13188", "7402", "7326", "7276", "11695", "6571" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "17633", "17009", "10643", "15009", "10805", "15056", "13529", "14900", "15279", "408", "1638", "9847", "13296", "10478", "9283", "12481", "16231", "16611", "7659", "2762" ], "interaction": [ "8926", "8727", ...
{ "recommended": [ "7659", "13296", "12481", "9283", "2762", "14900", "16611", "13529", "15056", "17009" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10127", "10251", "2697", "3450", "5138", "8010", "6821", "2135", "8797", "7305", "4069", "6021", "1277", "4180", "13098", "2148", "11712", "2329", "2278", "2330" ], "interaction": [ "1307", "1707", "2237...
{ "recommended": [ "10127", "6021", "5138", "2697", "2329", "13098", "8010", "2278", "3450", "4180" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "14336", "15513", "7102", "16091", "10660", "4188", "15004", "12064", "10297", "3774", "2033", "4216", "13242", "9643", "2060", "11602", "11409", "16062", "9736", "12089" ], "interaction": [ "8232", "1271", ...
{ "recommended": [ "16091", "4188", "15004", "12064", "11602", "10297", "16062", "7102", "15513", "11409" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "18239", "17572", "18222", "17987", "18023", "18217", "17086", "17833", "18184", "17699", "18344", "18078", "17738", "18121", "17951", "17994", "17217", "14764", "17832", "18205" ], "interaction": [ "8976", "...
{ "recommended": [ "17086", "17572", "18239", "17951", "18205", "18344", "17699", "18121", "18078", "18023" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "16084", "5905", "13583", "12745", "13440", "18038", "17483", "8725", "13038", "17593", "16733", "16472", "16189", "17508", "16113", "13517", "13585", "16722", "17218", "13580" ], "interaction": [ "46", "1839...
{ "recommended": [ "12745", "13583", "17483", "16189", "13580", "5905", "16733", "16472", "8725", "16084" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8237", "9656", "7730", "2050", "794", "8220", "14122", "797", "4768", "5466", "4926", "1184", "71", "9161", "1901", "1093", "14578", "14933", "6104", "8941" ], "interaction": [ "4446", "2478", "6129", ...
{ "recommended": [ "8220", "9161", "8941", "5466", "794", "1184", "7730", "1901", "9656", "8237" ] }
Recommend ten sports and outdoors products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "15083", "14458", "13606", "3298", "16796", "13127", "16223", "15097", "11145", "2999", "7123", "1575", "14907", "17540", "15642", "13243", "14719", "7126", "13604", "754" ], "interaction": [ "10220", "13626"...
{ "recommended": [ "14907", "16796", "15097", "17540", "3298", "13606", "13127", "7126", "7123", "11145" ] }