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Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2296", "10526", "6904", "7807", "2994", "8095", "10710", "6393", "11288", "4650", "6550", "2461", "5232", "5364", "6215", "5141", "9247", "1265", "6020", "5930", "4408", "4046", "6911", "2541", "3437...
{ "recommended": [ "9132", "2296", "10526", "6904", "7807", "2994", "8095", "10710", "6393", "11288" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10997", "8181", "10904", "11713", "8952", "10891", "11621", "9469", "11362", "10916", "11291", "10963", "9493", "10732", "10892", "9303", "10481", "9810", "11720", "9495", "8186", "10836", "11686", "8809...
{ "recommended": [ "10916", "10997", "8181", "10904", "11713", "8952", "10891", "11621", "9469", "11362" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5625", "146", "11637", "8897", "130", "6268", "782", "5170", "3320", "5694", "5752", "5639", "3986", "9606", "4707", "5266", "6573", "4623", "4092", "3911", "4345", "7602", "7249", "4809", "8975", ...
{ "recommended": [ "8921", "5625", "146", "11637", "8897", "130", "6268", "782", "5170", "3320" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11373", "2116", "11215", "10166", "8997", "10156", "11643", "8629", "11411", "11403", "11542", "11554", "10606", "9660", "9320", "11218", "10785", "4746", "11327", "10528", "10160", "9101", "7257", "1011...
{ "recommended": [ "306", "11373", "2116", "11215", "10166", "8997", "10156", "11643", "8629", "11411" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6426", "8433", "7219", "8171", "6033", "10039", "6464", "7959", "11403", "7935", "8917", "7308", "9447", "10315", "5895", "6212", "8369", "3826", "9455", "7934", "7578", "6933", "8340", "11172", "984...
{ "recommended": [ "10968", "6426", "8433", "7219", "8171", "6033", "10039", "6464", "7959", "11403" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1676", "8566", "7107", "9994", "2894", "3137", "8730", "5289", "10560", "6702", "4314", "4426", "5146", "3087", "10514", "10115", "8150", "3505", "3698", "234", "8180", "336", "5551", "6262", "3508",...
{ "recommended": [ "7172", "1676", "8566", "7107", "9994", "2894", "3137", "8730", "5289", "10560" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2857", "8839", "8269", "2182", "137", "3141", "10372", "1101", "10316", "4650", "6471", "270", "1126", "1100", "3742", "4860", "4072", "6586", "1801", "7247", "10843", "8355", "8126", "7449", "9283",...
{ "recommended": [ "3360", "2857", "8839", "8269", "2182", "137", "3141", "10372", "1101", "10316" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1735", "5364", "5166", "2661", "46", "2815", "11372", "2434", "4260", "3292", "1171", "6994", "11142", "4978", "3862", "1008", "10734", "2541", "6296", "5273", "3642", "1664", "7721", "1805", "7107",...
{ "recommended": [ "10734", "1735", "5364", "5166", "2661", "46", "2815", "11372", "2434", "4260" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10781", "4650", "6776", "9133", "8102", "8535", "9085", "9373", "6261", "8528", "10862", "6275", "11808", "8021", "5502", "6252", "7631", "8123", "4638", "6007", "2728", "9084", "9730", "3642", "6136...
{ "recommended": [ "9658", "10781", "4650", "6776", "9133", "8102", "8535", "9085", "9373", "6261" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9491", "10888", "10892", "11362", "11577", "10905", "10836", "9528", "10871", "10998", "10894", "11618", "11699", "11480", "11493", "11468", "11374", "11074", "10900", "5967", "9512", "9492", "11296", "9...
{ "recommended": [ "391", "9491", "10888", "10892", "11362", "11577", "10905", "10836", "9528", "10871" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2182", "8862", "2532", "7822", "1655", "8754", "8896", "3548", "4462", "4634", "4561", "6358", "1252", "8166", "9233", "3129", "5809", "1471", "4154", "1899", "1889", "8710", "8343", "5247", "7388", ...
{ "recommended": [ "7006", "2182", "8862", "2532", "7822", "1655", "8754", "8896", "3548", "4462" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9131", "9093", "7518", "10148", "7514", "7841", "11150", "11393", "7164", "10228", "8997", "8934", "8512", "8003", "10018", "8921", "6381", "4545", "10230", "11288", "9929", "7631", "10918", "5756", ...
{ "recommended": [ "11422", "9131", "9093", "7518", "10148", "7514", "7841", "11150", "11393", "7164" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3032", "8754", "8126", "9135", "3742", "4876", "7708", "6223", "3861", "1655", "7379", "6221", "2483", "8166", "7235", "9999", "10058", "290", "3377", "8129", "5364", "7569", "6201", "8533", "10628",...
{ "recommended": [ "4458", "3032", "8754", "8126", "9135", "3742", "4876", "7708", "6223", "3861" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "181", "9660", "1490", "3923", "7988", "3571", "9989", "10196", "1926", "10179", "1505", "1219", "10123", "1616", "3775", "1259", "7308", "8995", "6416", "10412", "11395", "5213", "6281", "137", "7832...
{ "recommended": [ "11730", "181", "9660", "1490", "3923", "7988", "3571", "9989", "10196", "1926" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3151", "8992", "2049", "1360", "3968", "3890", "4924", "2244", "847", "1136", "2042", "6139", "6256", "2994", "1223", "5440", "7518", "5653", "3664", "5121", "8997", "3089", "881", "5303", "4769", ...
{ "recommended": [ "6632", "3151", "8992", "2049", "1360", "3968", "3890", "4924", "2244", "847" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10321", "7665", "8304", "11015", "10345", "5807", "8305", "11263", "10523", "9171", "5567", "9401", "10245", "8311", "11188", "8314", "9399", "9400", "8316", "10246", "11265", "11266", "11755", "9531", ...
{ "recommended": [ "6719", "10321", "7665", "8304", "11015", "10345", "5807", "8305", "11263", "10523" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1165", "8771", "438", "9671", "8940", "8503", "6977", "3265", "5625", "8449", "7988", "6649", "10031", "7748", "8774", "7504", "8773", "8496", "9291", "6973", "9166", "8772", "6210", "8597", "1600", ...
{ "recommended": [ "2913", "1165", "8771", "438", "9671", "8940", "8503", "6977", "3265", "5625" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9135", "5061", "10406", "7307", "10690", "10499", "9134", "8583", "7417", "10399", "8795", "11027", "11340", "11124", "9462", "11209", "11057", "9130", "11273", "11703", "11061", "10670", "10178", "8719"...
{ "recommended": [ "3693", "9135", "5061", "10406", "7307", "10690", "10499", "9134", "8583", "7417" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1215", "1703", "2296", "9363", "6517", "7518", "8126", "7301", "7514", "4532", "9166", "9202", "2360", "6021", "8166", "7329", "8329", "6381", "7005", "8753", "5742", "7249", "2877", "10697", "3945",...
{ "recommended": [ "8321", "1215", "1703", "2296", "9363", "6517", "7518", "8126", "7301", "7514" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6267", "6999", "6265", "8032", "4574", "3437", "7436", "1488", "10228", "1404", "8106", "6971", "7271", "9936", "7442", "6138", "57", "1827", "1331", "6531", "9818", "6000", "7794", "4776", "8252", ...
{ "recommended": [ "5442", "6267", "6999", "6265", "8032", "4574", "3437", "7436", "1488", "10228" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8166", "1280", "1360", "1265", "1136", "2129", "1084", "5611", "2852", "3742", "1616", "5415", "1904", "4634", "3799", "3423", "5451", "926", "5278", "2136", "1929", "8718", "2194", "3926", "356", ...
{ "recommended": [ "5415", "8166", "1280", "1360", "1265", "1136", "2129", "1084", "5611", "2852" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8753", "9976", "6277", "9462", "2182", "9360", "9317", "9572", "7165", "7518", "9241", "9485", "9367", "9130", "7120", "7318", "5522", "9363", "7385", "9333", "9128", "4829", "9084", "9177", "8921", ...
{ "recommended": [ "9086", "8753", "9976", "6277", "9462", "2182", "9360", "9317", "9572", "7165" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7687", "7316", "6262", "6987", "3742", "356", "4609", "903", "3589", "9211", "8366", "5053", "5272", "4574", "7941", "9135", "4304", "8450", "4729", "5249", "2766", "6497", "7476", "4650", "2436", ...
{ "recommended": [ "10984", "7687", "7316", "6262", "6987", "3742", "356", "4609", "903", "3589" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2166", "2033", "7717", "3301", "8169", "4001", "1538", "2532", "2497", "3746", "2297", "1585", "2569", "7645", "6381", "971", "3742", "2296", "4062", "3600", "5260", "3437", "2483", "1989", "3731", ...
{ "recommended": [ "6010", "2166", "2033", "7717", "3301", "8169", "4001", "1538", "2532", "2497" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10508", "9579", "10717", "10654", "11095", "11057", "11232", "1230", "9100", "11221", "11026", "8747", "11472", "10399", "10387", "11132", "11210", "11135", "11213", "11086", "10405", "10260", "11306", "...
{ "recommended": [ "9920", "10508", "9579", "10717", "10654", "11095", "11057", "11232", "1230", "9100" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10846", "8935", "2994", "8874", "5364", "7249", "1164", "6221", "8839", "11370", "6859", "11180", "7089", "9920", "9536", "8939", "3515", "9000", "3385", "5732", "7383", "9238", "9388", "3770", "1063...
{ "recommended": [ "4949", "10846", "8935", "2994", "8874", "5364", "7249", "1164", "6221", "8839" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "662", "7979", "1792", "2648", "2815", "1375", "4039", "9689", "3573", "4154", "1812", "4776", "11361", "5146", "3060", "4231", "3705", "7908", "2537", "7131", "6969", "10078", "4877", "4294", "4275",...
{ "recommended": [ "7979", "662", "1792", "2648", "2815", "1375", "4039", "9689", "3573", "4154" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9549", "7345", "9202", "8331", "9122", "8321", "9561", "2182", "8822", "9030", "8285", "4476", "10653", "4716", "11394", "9407", "11798", "7870", "8080", "11282", "7514", "11206", "10326", "11163", "...
{ "recommended": [ "3166", "9549", "7345", "9202", "8331", "9122", "8321", "9561", "2182", "8822" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3572", "9930", "7345", "2930", "11318", "7701", "6545", "4959", "9628", "10372", "1064", "8038", "10762", "10326", "8188", "11429", "3742", "7221", "6572", "8099", "9230", "11411", "10168", "3352", "...
{ "recommended": [ "990", "3572", "9930", "7345", "2930", "11318", "7701", "6545", "4959", "9628" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1097", "1817", "1835", "748", "208", "1007", "373", "794", "396", "1004", "989", "1405", "530", "815", "1212", "403", "2750", "536", "1462", "179", "181", "743", "273", "3257", "1114", "661", ...
{ "recommended": [ "998", "1097", "1817", "1835", "748", "208", "1007", "373", "794", "396" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10440", "6098", "10046", "152", "7752", "1308", "4869", "6416", "6678", "3672", "10750", "3994", "7833", "3092", "621", "4585", "3739", "5625", "90", "3346", "4345", "103", "7339", "6167", "11486", ...
{ "recommended": [ "6146", "10440", "6098", "10046", "152", "7752", "1308", "4869", "6416", "6678" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "615", "259", "1606", "2326", "2224", "994", "2580", "1117", "898", "241", "836", "3352", "897", "582", "5351", "7006", "1464", "914", "10164", "908", "2042", "2020", "1965", "770", "3652", "2033"...
{ "recommended": [ "5312", "615", "259", "1606", "2326", "2224", "994", "2580", "1117", "898" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8153", "2790", "2846", "4650", "2088", "11044", "2033", "803", "2541", "5364", "7162", "1617", "3742", "7234", "7767", "2483", "5158", "7143", "1020", "9994", "2576", "2129", "6201", "2920", "7687", ...
{ "recommended": [ "8922", "8153", "2790", "2846", "4650", "2088", "11044", "2033", "803", "2541" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10933", "10718", "10570", "11601", "11832", "11689", "11698", "10813", "9696", "11536", "9765", "11354", "9922", "11546", "10893", "11668", "6458", "11674", "10504", "11531", "10496", "10708", "11511", "...
{ "recommended": [ "7989", "10933", "10718", "10570", "11601", "11832", "11689", "11698", "10813", "9696" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10736", "10080", "10715", "11056", "10866", "8795", "10982", "11213", "11499", "2327", "10781", "10357", "10843", "6767", "11340", "10693", "8896", "6261", "5146", "10808", "6528", "9096", "11001", "1051...
{ "recommended": [ "11824", "10736", "10080", "10715", "11056", "10866", "8795", "10982", "11213", "11499" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11506", "10688", "7374", "5742", "7976", "11675", "5948", "10517", "10708", "11670", "4776", "11220", "11429", "10253", "11508", "4623", "11575", "3642", "11887", "11542", "996", "11512", "9135", "11703"...
{ "recommended": [ "11888", "11506", "10688", "7374", "5742", "7976", "11675", "5948", "10517", "10708" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1265", "1558", "5173", "2065", "770", "3665", "3742", "1932", "5714", "5946", "1488", "25", "4715", "615", "9328", "3347", "340", "2659", "2652", "4012", "6262", "3306", "4039", "1057", "3432", "...
{ "recommended": [ "3273", "1265", "1558", "5173", "2065", "770", "3665", "3742", "1932", "5714" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9349", "10930", "10274", "8013", "4196", "9760", "4610", "11189", "10175", "9858", "11180", "9425", "8501", "8873", "10109", "8136", "9165", "6098", "8975", "10607", "7167", "6473", "8140", "6574", "...
{ "recommended": [ "7249", "9349", "10930", "10274", "8013", "4196", "9760", "4610", "11189", "10175" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8476", "6002", "8387", "11426", "9612", "7403", "11742", "11634", "6083", "10448", "10047", "7618", "8854", "4613", "9595", "6570", "8338", "6991", "9554", "8268", "6878", "9841", "7439", "4013", "56...
{ "recommended": [ "11424", "8476", "6002", "8387", "11426", "9612", "7403", "11742", "11634", "6083" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10891", "2211", "11310", "9717", "11493", "10796", "10984", "10632", "11393", "11796", "11318", "9135", "8037", "11126", "9011", "11699", "10233", "10159", "11387", "9821", "8126", "6340", "10155", "1021...
{ "recommended": [ "10538", "10891", "2211", "11310", "9717", "11493", "10796", "10984", "10632", "11393" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8566", "2068", "3570", "11273", "10379", "9823", "10721", "9226", "10982", "11064", "10700", "9689", "10262", "9204", "10654", "10924", "11393", "10399", "11088", "10715", "10380", "11180", "9238", "1051...
{ "recommended": [ "3982", "8566", "2068", "3570", "11273", "10379", "9823", "10721", "9226", "10982" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11425", "7708", "4946", "5436", "9568", "3778", "8994", "778", "4599", "912", "7372", "4005", "6807", "10055", "6256", "1770", "29", "4215", "5041", "10156", "8988", "8839", "5468", "4945", "8232", ...
{ "recommended": [ "4946", "11425", "7708", "5436", "9568", "3778", "8994", "778", "4599", "912" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10771", "5567", "8830", "10563", "11010", "11577", "10683", "5945", "10432", "9150", "10096", "10482", "9148", "8561", "9427", "11649", "11074", "11188", "11356", "10773", "9254", "4723", "10681", "9346"...
{ "recommended": [ "11070", "10771", "5567", "8830", "10563", "11010", "11577", "10683", "5945", "10432" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "137", "5021", "2296", "1171", "926", "42", "1488", "1353", "480", "2136", "6587", "200", "3426", "897", "2378", "2163", "8647", "2124", "7346", "2358", "482", "2164", "769", "2312", "3321", "3299...
{ "recommended": [ "1423", "137", "5021", "2296", "1171", "926", "42", "1488", "1353", "480" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8981", "6139", "3589", "3352", "4535", "6692", "7546", "8962", "10745", "821", "7518", "9153", "4450", "200", "7948", "11215", "29", "5790", "9569", "8354", "3400", "782", "9588", "8998", "7436", ...
{ "recommended": [ "5811", "8981", "6139", "3589", "3352", "4535", "6692", "7546", "8962", "10745" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11405", "6944", "7359", "5401", "7513", "9062", "6907", "8920", "8505", "7811", "6854", "4973", "2968", "7494", "6980", "5237", "7108", "6906", "7717", "9462", "11499", "6641", "7278", "3148", "7275"...
{ "recommended": [ "7746", "11405", "6944", "7359", "5401", "7513", "9062", "6907", "8920", "8505" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11079", "6458", "11246", "10834", "11686", "10585", "11028", "1957", "10401", "10727", "11654", "11669", "10498", "11350", "10589", "11660", "10718", "11762", "11576", "11667", "11668", "11054", "8799", ...
{ "recommended": [ "10589", "11079", "6458", "11246", "10834", "11686", "10585", "11028", "1957", "10401" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6231", "5428", "5282", "2936", "7310", "6259", "4838", "7265", "3862", "4095", "7518", "5440", "5472", "6981", "6733", "7689", "6152", "7088", "5608", "6949", "7721", "7331", "7007", "6299", "4043", ...
{ "recommended": [ "6114", "6231", "5428", "5282", "2936", "7310", "6259", "4838", "7265", "3862" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2577", "1213", "134", "2282", "25", "5554", "3382", "1488", "700", "4791", "1663", "1440", "8528", "2792", "3288", "6080", "5639", "2588", "10615", "1326", "5616", "8513", "5440", "5781", "384", ...
{ "recommended": [ "10747", "2577", "1213", "134", "2282", "25", "5554", "3382", "1488", "700" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11426", "5168", "11432", "6604", "9689", "7811", "706", "1330", "340", "2358", "4904", "1676", "561", "2055", "10332", "653", "654", "7846", "2894", "1338", "7174", "10183", "803", "945", "2672", ...
{ "recommended": [ "11664", "11426", "5168", "11432", "6604", "9689", "7811", "706", "1330", "340" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10796", "5930", "8080", "6912", "8054", "10160", "9976", "10087", "11411", "8875", "9003", "8050", "9288", "2051", "10231", "10156", "8194", "10061", "9407", "8629", "8158", "8081", "8079", "7416", "...
{ "recommended": [ "9002", "10796", "5930", "8080", "6912", "8054", "10160", "9976", "10087", "11411" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5332", "5364", "8167", "8145", "962", "2994", "9052", "615", "8628", "3277", "4104", "5602", "313", "4408", "5102", "8512", "5260", "6747", "1664", "4478", "401", "2461", "6590", "4499", "898", "...
{ "recommended": [ "2435", "5332", "5364", "8167", "8145", "962", "2994", "9052", "615", "8628" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3668", "1802", "5026", "4389", "1718", "853", "4072", "5155", "1360", "3299", "11555", "1440", "5110", "1949", "3532", "3476", "1765", "1970", "5655", "4721", "7281", "6692", "1333", "9407", "4937", ...
{ "recommended": [ "1904", "3668", "1802", "5026", "4389", "1718", "853", "4072", "5155", "1360" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9951", "8468", "9127", "8927", "9047", "10109", "9516", "5969", "9106", "8493", "7995", "8488", "10606", "9984", "7296", "8462", "9760", "9274", "9168", "10071", "4278", "10", "9367", "95", "8405", ...
{ "recommended": [ "9188", "9951", "8468", "9127", "8927", "9047", "10109", "9516", "5969", "9106" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8939", "8131", "8504", "8090", "10985", "8935", "7924", "6859", "3286", "9703", "7379", "9333", "7108", "7979", "1899", "9639", "9571", "8446", "9245", "4729", "8896", "4561", "9461", "8605", "9542",...
{ "recommended": [ "10982", "8939", "8131", "8504", "8090", "10985", "8935", "7924", "6859", "3286" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8968", "8244", "7687", "4978", "9770", "7342", "6000", "1215", "8155", "10835", "8166", "9726", "7879", "8331", "8940", "8934", "3049", "9391", "8898", "8131", "6475", "9124", "7746", "9584", "7908",...
{ "recommended": [ "7175", "8968", "8244", "7687", "4978", "9770", "7342", "6000", "1215", "8155" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10071", "9617", "11215", "8943", "8106", "8405", "8839", "11236", "9743", "8777", "10078", "9487", "9515", "9342", "10877", "7948", "10206", "7647", "9127", "10697", "8998", "10152", "11061", "9664", ...
{ "recommended": [ "3194", "10071", "9617", "11215", "8943", "8106", "8405", "8839", "11236", "9743" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1464", "1782", "2213", "2676", "363", "1065", "1616", "782", "1136", "280", "11169", "184", "1413", "2237", "2671", "5666", "5929", "4700", "304", "6756", "2918", "2576", "429", "4425", "1217", "...
{ "recommended": [ "349", "1464", "1782", "2213", "2676", "363", "1065", "1616", "782", "1136" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5584", "3476", "2096", "2941", "2947", "10087", "4375", "6966", "10412", "10252", "7092", "5645", "11411", "6234", "7662", "11272", "10073", "3637", "4336", "6692", "9920", "4546", "7420", "6139", "1...
{ "recommended": [ "10878", "5584", "3476", "2096", "2941", "2947", "10087", "4375", "6966", "10412" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "243", "239", "1904", "662", "1128", "2621", "1763", "840", "1912", "181", "3952", "694", "403", "782", "1899", "423", "10984", "1249", "376", "1812", "281", "1900", "1265", "769", "1117", "554", ...
{ "recommended": [ "1115", "243", "239", "1904", "662", "1128", "2621", "1763", "840", "1912" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10194", "5834", "8718", "3084", "11403", "7220", "2202", "10862", "8719", "9486", "7305", "4515", "2116", "1391", "7829", "9462", "3540", "9281", "7310", "7249", "1538", "11411", "482", "11429", "600...
{ "recommended": [ "4515", "10194", "5834", "8718", "3084", "11403", "7220", "2202", "10862", "8719" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8944", "6593", "6569", "7007", "5419", "2838", "11424", "8415", "6259", "9536", "7513", "7280", "4854", "9329", "9482", "3352", "8368", "6890", "7864", "2023", "6641", "9485", "6960", "4106", "8437",...
{ "recommended": [ "6766", "8944", "6593", "6569", "7007", "5419", "2838", "11424", "8415", "6259" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11820", "11527", "10630", "11655", "11641", "11542", "10427", "10672", "11657", "11541", "11587", "11511", "11654", "11640", "11739", "11670", "10893", "11672", "11759", "11530", "9696", "11494", "10588", ...
{ "recommended": [ "11915", "11820", "11527", "10630", "11655", "11641", "11542", "10427", "10672", "11657" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "593", "1852", "2994", "5625", "4973", "8126", "4729", "7969", "4606", "1471", "7109", "782", "5440", "7102", "1119", "3742", "6393", "1828", "1959", "5505", "4897", "3945", "9143", "7492", "6055", ...
{ "recommended": [ "7102", "593", "1852", "2994", "5625", "4973", "8126", "4729", "7969", "4606" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8005", "4303", "5625", "6453", "2378", "3499", "4716", "4272", "3562", "7126", "7082", "7254", "1360", "4365", "6765", "3278", "5576", "6687", "3568", "8200", "8945", "3216", "6641", "11293", "3140",...
{ "recommended": [ "5576", "8005", "4303", "5625", "6453", "2378", "3499", "4716", "4272", "3562" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2380", "6548", "9592", "1773", "2532", "6949", "7379", "3858", "9941", "2805", "3437", "4314", "5009", "1313", "10671", "3548", "6363", "7975", "4471", "3320", "6769", "3352", "7237", "5491", "1538",...
{ "recommended": [ "10671", "2380", "6548", "9592", "1773", "2532", "6949", "7379", "3858", "9941" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7151", "10321", "10523", "6952", "11243", "11015", "8379", "10302", "9416", "11034", "9346", "10454", "8313", "11264", "10394", "9602", "5945", "10391", "10432", "9909", "10732", "8309", "10243", "7552",...
{ "recommended": [ "11261", "7151", "10321", "10523", "6952", "11243", "11015", "8379", "10302", "9416" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5965", "11215", "10918", "9364", "6381", "10866", "9546", "8670", "8754", "6121", "7179", "9629", "6556", "3423", "10357", "6614", "8898", "2994", "9920", "10379", "11142", "9644", "9231", "8150", "1...
{ "recommended": [ "1792", "5965", "11215", "10918", "9364", "6381", "10866", "9546", "8670", "8754" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10140", "10770", "5945", "10143", "10683", "9254", "4580", "11476", "11144", "11016", "10579", "11356", "10774", "10577", "1608", "4577", "10681", "11017", "10361", "10807", "9346", "11004", "11848", "97...
{ "recommended": [ "11890", "10140", "10770", "5945", "10143", "10683", "9254", "4580", "11476", "11144" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11449", "11310", "9533", "5159", "11699", "8643", "3742", "11411", "11797", "7877", "7328", "11292", "9717", "11493", "10152", "11125", "10758", "11703", "11570", "9716", "10679", "10186", "11405", "3651...
{ "recommended": [ "11305", "11449", "11310", "9533", "5159", "11699", "8643", "3742", "11411", "11797" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6000", "8605", "8036", "8396", "6343", "10632", "6551", "10866", "9196", "9010", "2130", "7006", "7514", "9730", "8863", "4729", "8702", "5006", "6872", "8124", "7631", "7518", "9511", "8843", "4260"...
{ "recommended": [ "8894", "6000", "8605", "8036", "8396", "6343", "10632", "6551", "10866", "9196" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10105", "5967", "7303", "9882", "10411", "11292", "10104", "7443", "11363", "10237", "10896", "11293", "10984", "8939", "10781", "11432", "10900", "11341", "9813", "11696", "11343", "11396", "11666", "10...
{ "recommended": [ "10070", "10105", "5967", "7303", "9882", "10411", "11292", "10104", "7443", "11363" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9131", "10405", "11061", "11677", "11654", "10535", "7514", "11134", "7282", "10829", "11137", "2795", "11275", "10999", "11132", "11477", "7220", "11094", "11180", "9569", "11641", "11079", "11404", "10...
{ "recommended": [ "11306", "9131", "10405", "11061", "11677", "11654", "10535", "7514", "11134", "7282" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5942", "3840", "4974", "405", "10196", "11310", "7721", "6567", "8521", "7398", "3527", "8603", "9533", "10178", "4072", "9378", "7410", "1338", "200", "6721", "8095", "10690", "962", "6475", "4074",...
{ "recommended": [ "7870", "5942", "3840", "4974", "405", "10196", "11310", "7721", "6567", "8521" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10789", "11088", "11183", "11280", "9696", "11073", "11221", "10405", "11477", "11292", "11007", "11006", "9293", "11099", "10400", "11689", "10399", "10508", "10403", "11210", "11640", "11831", "11087", ...
{ "recommended": [ "11275", "10789", "11088", "11183", "11280", "9696", "11073", "11221", "10405", "11477" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3515", "8126", "4472", "6750", "4408", "6076", "10178", "8566", "8725", "472", "9821", "10984", "8670", "8754", "5006", "6827", "8150", "2296", "7708", "9546", "3385", "8131", "4529", "7005", "5354",...
{ "recommended": [ "6750", "3515", "8126", "4472", "4408", "6076", "10178", "8566", "8725", "472" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "700", "1049", "8159", "3711", "3742", "7295", "1360", "482", "5440", "8975", "2541", "2891", "5639", "4350", "6068", "5436", "7513", "10602", "7120", "2182", "2726", "6838", "9204", "6692", "5097", ...
{ "recommended": [ "6068", "700", "1049", "8159", "3711", "3742", "7295", "1360", "482", "5440" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10606", "11363", "11192", "11176", "8696", "10891", "10374", "11669", "8997", "11061", "7577", "11876", "10963", "11615", "11711", "10937", "11646", "10962", "114", "11238", "10733", "11506", "11357", "9...
{ "recommended": [ "8546", "10606", "11363", "11192", "11176", "8696", "10891", "10374", "11669", "8997" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8456", "11151", "10632", "9130", "7655", "9136", "9127", "2023", "9333", "9539", "8960", "9123", "8853", "9135", "9132", "10179", "10064", "6920", "8407", "9131", "9129", "6925", "10984", "8217", "97...
{ "recommended": [ "9333", "8456", "11151", "10632", "9130", "7655", "9136", "9127", "2023", "9539" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9920", "8166", "6921", "10712", "11088", "8396", "9248", "9705", "6234", "8106", "9209", "10999", "10874", "11666", "10071", "6915", "11288", "8696", "8435", "8627", "9361", "9189", "9203", "8736", "...
{ "recommended": [ "9705", "9920", "8166", "6921", "10712", "11088", "8396", "9248", "6234", "8106" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10774", "11902", "9512", "11292", "11629", "11209", "9496", "10914", "9732", "10748", "11220", "10997", "10624", "10758", "11405", "11615", "10890", "11666", "11297", "10641", "10762", "10900", "11552", ...
{ "recommended": [ "11857", "10774", "11902", "9512", "11292", "11629", "11209", "9496", "10914", "9732" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3347", "4149", "10628", "4899", "8043", "662", "3742", "1899", "4260", "6907", "2947", "7230", "7318", "3642", "4729", "6906", "3423", "4043", "5666", "6296", "9231", "3945", "7298", "6625", "7383", ...
{ "recommended": [ "6687", "3347", "4149", "10628", "4899", "8043", "662", "3742", "1899", "4260" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4474", "3945", "7658", "8366", "962", "6906", "685", "1061", "3306", "782", "4838", "4715", "2129", "2124", "1136", "3437", "900", "4403", "1805", "391", "7123", "3652", "1829", "770", "2166", "2...
{ "recommended": [ "4876", "4474", "3945", "7658", "8366", "962", "6906", "685", "1061", "3306" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4826", "7518", "7778", "6906", "11432", "11405", "6714", "6275", "10", "5505", "3669", "5831", "6328", "11142", "4744", "10228", "9208", "7514", "9091", "10991", "5930", "6614", "7979", "8437", "2884...
{ "recommended": [ "10228", "4826", "7518", "7778", "6906", "11432", "11405", "6714", "6275", "10" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10672", "11086", "11006", "11303", "11575", "10407", "11273", "11066", "10496", "11075", "10786", "10500", "11292", "9728", "10508", "11244", "10585", "11238", "9765", "10497", "11174", "10690", "11209", ...
{ "recommended": [ "10718", "10672", "11086", "11006", "11303", "11575", "10407", "11273", "11066", "10496" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11060", "11099", "10620", "11739", "11245", "9924", "8794", "11349", "11253", "11677", "11054", "10515", "11275", "10496", "11066", "10401", "9293", "11703", "11094", "11244", "11086", "11472", "10517", ...
{ "recommended": [ "11213", "11060", "11099", "10620", "11739", "11245", "9924", "8794", "11349", "11253" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9941", "4296", "6030", "3392", "10115", "8843", "6745", "6801", "4260", "1538", "9133", "2341", "4450", "9462", "10654", "2296", "3711", "2461", "11221", "6010", "6379", "3737", "5166", "5364", "1823...
{ "recommended": [ "7719", "9941", "4296", "6030", "3392", "10115", "8843", "6745", "6801", "4260" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4838", "11473", "6381", "7395", "11180", "5332", "8459", "4407", "3945", "8129", "6139", "6663", "10337", "8239", "7249", "6222", "9920", "8043", "11220", "5299", "10117", "7378", "656", "9534", "605...
{ "recommended": [ "10591", "4838", "11473", "6381", "7395", "11180", "5332", "8459", "4407", "3945" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10828", "9787", "7440", "9297", "6477", "10259", "166", "6937", "9104", "11181", "6443", "7622", "9779", "9944", "6991", "6097", "11254", "6657", "7907", "8387", "6993", "11636", "6328", "7999", "114...
{ "recommended": [ "11423", "10828", "9787", "7440", "9297", "6477", "10259", "166", "6937", "9104" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7853", "6513", "9533", "4218", "11411", "11405", "6884", "2095", "5075", "482", "674", "4498", "6573", "230", "4777", "2686", "2578", "43", "1049", "9014", "6251", "10078", "6007", "136", "7578", ...
{ "recommended": [ "11629", "7853", "6513", "9533", "4218", "11411", "11405", "6884", "2095", "5075" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "701", "4179", "2576", "7310", "729", "3758", "597", "1801", "782", "5440", "582", "3352", "1521", "1265", "1272", "184", "5145", "181", "620", "25", "2023", "4705", "9593", "2352", "5666", "664",...
{ "recommended": [ "2409", "701", "4179", "2576", "7310", "729", "3758", "597", "1801", "782" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6179", "5813", "25", "2461", "4946", "6627", "2763", "4963", "7489", "6014", "9317", "5556", "5423", "2460", "7259", "5674", "2115", "7206", "2599", "4746", "22", "3140", "179", "3148", "4377", "...
{ "recommended": [ "6080", "6179", "5813", "25", "2461", "4946", "6627", "2763", "4963", "7489" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10054", "11255", "11554", "11121", "11699", "11403", "9999", "6340", "5774", "11116", "11405", "8050", "11110", "3405", "11797", "11804", "8690", "9289", "9290", "11181", "8066", "11272", "8219", "8051",...
{ "recommended": [ "10054", "11255", "11554", "11121", "11699", "11403", "9999", "6340", "5774", "11116" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9329", "11707", "8423", "11416", "11720", "9505", "10894", "11721", "11192", "7824", "11623", "9589", "8761", "10488", "11612", "11613", "9496", "11100", "9495", "10914", "10879", "11417", "11618", "1174...
{ "recommended": [ "9599", "9329", "11707", "8423", "11416", "11720", "9505", "10894", "11721", "11192" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2656", "4623", "410", "1722", "10123", "4692", "5625", "3092", "213", "674", "1287", "25", "3285", "3526", "3889", "927", "1742", "304", "7774", "2580", "4707", "1770", "3140", "3434", "3274", "2...
{ "recommended": [ "11725", "2656", "4623", "410", "1722", "10123", "4692", "5625", "3092", "213" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10170", "5621", "8056", "10159", "7838", "7926", "4454", "8053", "11626", "11664", "8876", "8050", "4933", "10196", "7834", "8715", "10195", "3767", "9935", "11418", "9101", "10152", "7972", "10606", ...
{ "recommended": [ "4933", "10170", "5621", "8056", "10159", "7838", "7926", "4454", "8053", "11626" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1989", "10805", "3385", "4774", "5400", "8455", "8723", "996", "2702", "3915", "700", "6843", "2576", "8558", "11142", "2399", "11499", "2036", "11638", "3334", "11425", "2042", "3735", "10309", "211...
{ "recommended": [ "7100", "1989", "10805", "3385", "4774", "5400", "8455", "8723", "996", "2702" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9202", "4039", "6989", "10228", "5246", "3352", "7131", "6906", "6068", "10848", "7975", "8730", "10088", "6393", "6714", "3742", "6343", "10164", "10757", "7379", "9143", "1930", "7977", "10172", "2...
{ "recommended": [ "10560", "9202", "4039", "6989", "10228", "5246", "3352", "7131", "6906", "6068" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2994", "8934", "8701", "11238", "6301", "6393", "25", "8106", "8928", "6177", "11405", "7249", "4561", "5319", "5063", "6031", "6234", "10168", "3500", "6381", "900", "5791", "7546", "4860", "4974", ...
{ "recommended": [ "9507", "2994", "8934", "8701", "11238", "6301", "6393", "25", "8106", "8928" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9386", "5956", "6521", "662", "7639", "5278", "5260", "9133", "4567", "6949", "3352", "6392", "7485", "9385", "2042", "3423", "5213", "3797", "3763", "4442", "6668", "2994", "2417", "6714", "4586", ...
{ "recommended": [ "4586", "9386", "5956", "6521", "662", "7639", "5278", "5260", "9133", "4567" ] }