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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": [ "11222", "5459", "5161", "8843", "6850", "6010", "8874", "6749", "6007", "5972", "9462", "9025", "5436", "3129", "7164", "7677", "8112", "7929", "8088", "6046" ], "interaction": [ "3845", "9230", "569", ...
{ "recommended": [ "5972", "11222", "5459", "5161", "8843", "6850", "6010", "8874", "6749", "6007" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10997", "11621", "11439", "11589", "11617", "10892", "11615", "10525", "11373", "9503", "9509", "7465", "11417", "11362", "11367", "9493", "8779", "8422", "10894", "11363" ], "interaction": [ "4611", "9152",...
{ "recommended": [ "10894", "10997", "11621", "11439", "11589", "11617", "10892", "11615", "10525", "11373" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6340", "5572", "9481", "4435", "5813", "7060", "3354", "7717", "2310", "8366", "6010", "181", "2503", "9288", "4092", "10073", "2666", "10233", "4336", "6577" ], "interaction": [ "3809", "4601", "6276", ...
{ "recommended": [ "2310", "6340", "5572", "9481", "4435", "5813", "7060", "3354", "7717", "8366" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10168", "11643", "10529", "11272", "11808", "9040", "7416", "10284", "11606", "5625", "7257", "11607", "8975", "10535", "11342", "11360", "7713", "4832", "10087", "100" ], "interaction": [ "11405", "11482", ...
{ "recommended": [ "7416", "10168", "11643", "10529", "11272", "11808", "9040", "10284", "11606", "5625" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7782", "7961", "7950", "7962", "8088", "6449", "6933", "9025", "6749", "9369", "7936", "7959", "10417", "4661", "5992", "6893", "6453", "11172", "7948", "6464" ], "interaction": [ "5993", "6042", "9368",...
{ "recommended": [ "9369", "7782", "7961", "7950", "7962", "8088", "6449", "6933", "9025", "6749" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8886", "6010", "8153", "8518", "8595", "5260", "3505", "3438", "3137", "3437", "5490", "7789", "5493", "8512", "10164", "10713", "8630", "4167", "7117", "9871" ], "interaction": [ "1177", "4635", "5491",...
{ "recommended": [ "10713", "8886", "6010", "8153", "8518", "8595", "5260", "3505", "3438", "3137" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3527", "9825", "9130", "720", "9002", "9569", "9462", "4741", "5440", "4974", "4205", "11157", "2573", "7357", "11255", "8159", "2213", "8718", "5741", "5436" ], "interaction": [ "726", "1186", "5133", ...
{ "recommended": [ "2213", "3527", "9825", "9130", "720", "9002", "9569", "9462", "4741", "5440" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10713", "8886", "10172", "7237", "7721", "4054", "5490", "6010", "3505", "46", "1351", "3862", "3360", "3372", "1693", "5493", "5826", "6173", "1982", "1867" ], "interaction": [ "720", "2676", "3018", ...
{ "recommended": [ "10713", "8886", "10172", "7237", "7721", "4054", "5490", "6010", "3505", "46" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9643", "10695", "4504", "4650", "8697", "3841", "11175", "9569", "8234", "8835", "8583", "4744", "9593", "6800", "9756", "8171", "8011", "9001", "6377", "4468" ], "interaction": [ "5307", "5318", "7740",...
{ "recommended": [ "9643", "10695", "4504", "4650", "8697", "3841", "11175", "9569", "8234", "8835" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11291", "11615", "11192", "10914", "10962", "9503", "11362", "10890", "11297", "7929", "11726", "11367", "11708", "10963", "10892", "11373", "11363", "11342", "10998", "9469" ], "interaction": [ "9419", "949...
{ "recommended": [ "11342", "11291", "11615", "11192", "10914", "10962", "9503", "11362", "10890", "11297" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10864", "2483", "4729", "6221", "8728", "10985", "10623", "6220", "753", "8166", "5364", "3423", "4407", "5166", "6918", "8126", "9085", "7721", "8754", "2994" ], "interaction": [ "2089", "2461", "2828",...
{ "recommended": [ "6918", "10864", "2483", "4729", "6221", "8728", "10985", "10623", "6220", "753" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10327", "11799", "10890", "11129", "9627", "10737", "10697", "10762", "11029", "10909", "10652", "10325", "10752", "10052", "10730", "10900", "6572", "10229", "10324", "10228" ], "interaction": [ "2658", "62...
{ "recommended": [ "10325", "10327", "11799", "10890", "11129", "9627", "10737", "10697", "10762", "11029" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2461", "8126", "1194", "9920", "8898", "7550", "7381", "5006", "9230", "7007", "7383", "673", "9234", "6222", "11473", "7006", "10549", "11509", "6381", "9872" ], "interaction": [ "2569", "1999", "2994",...
{ "recommended": [ "7381", "2461", "8126", "1194", "9920", "8898", "7550", "5006", "9230", "7007" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3265", "1510", "4590", "25", "3804", "5929", "4832", "3689", "7249", "1490", "5813", "137", "9989", "64", "8995", "168", "130", "11664", "1224", "2896" ], "interaction": [ "2325", "5445", "8939", "25...
{ "recommended": [ "25", "3265", "1510", "4590", "3804", "5929", "4832", "3689", "7249", "1490" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "179", "6639", "700", "3258", "1942", "4924", "176", "9027", "3663", "2542", "3089", "2221", "4371", "3964", "2891", "4707", "782", "1616", "6692", "4128" ], "interaction": [ "5342", "372", "3952", "4...
{ "recommended": [ "782", "179", "6639", "700", "3258", "1942", "4924", "176", "9027", "3663" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8314", "10301", "8232", "8307", "8309", "10239", "9768", "8313", "9458", "9402", "8349", "9172", "10393", "8205", "8304", "9445", "8259", "8305", "8316", "10523" ], "interaction": [ "8204", "8303", "8301...
{ "recommended": [ "8259", "8314", "10301", "8232", "8307", "8309", "10239", "9768", "8313", "9458" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9275", "6977", "8774", "2598", "8462", "8502", "8494", "9990", "8481", "8467", "9106", "8013", "8597", "6972", "9418", "6976", "8485", "6997", "6409", "1160" ], "interaction": [ "2263", "4884", "4568", ...
{ "recommended": [ "8013", "9275", "6977", "8774", "2598", "8462", "8502", "8494", "9990", "8481" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10399", "11327", "5440", "10401", "10690", "10499", "8718", "10561", "10407", "10924", "11306", "10459", "8797", "9666", "7220", "9462", "11134", "10508", "10427", "11228" ], "interaction": [ "1791", "6547",...
{ "recommended": [ "8718", "10399", "11327", "5440", "10401", "10690", "10499", "10561", "10407", "10924" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4830", "6503", "7631", "7979", "6121", "9277", "8674", "9857", "7721", "9701", "6007", "7542", "6256", "6402", "9092", "8443", "9235", "7822", "7345", "2909" ], "interaction": [ "240", "1715", "2390", ...
{ "recommended": [ "6402", "4830", "6503", "7631", "7979", "6121", "9277", "8674", "9857", "7721" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7578", "5948", "8928", "5592", "7767", "2957", "9993", "6531", "7061", "5946", "4813", "5718", "3303", "5719", "5166", "9346", "9300", "10228", "7000", "5137" ], "interaction": [ "534", "2867", "3296", ...
{ "recommended": [ "5719", "7578", "5948", "8928", "5592", "7767", "2957", "9993", "6531", "7061" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10044", "3735", "1568", "2166", "2646", "9250", "181", "4648", "2918", "2371", "5635", "2541", "8847", "2123", "2182", "2194", "444", "268", "6445", "4071" ], "interaction": [ "703", "1862", "254", "...
{ "recommended": [ "2918", "10044", "3735", "1568", "2166", "2646", "9250", "181", "4648", "2371" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9059", "9061", "11293", "9462", "8777", "8786", "9975", "9557", "8930", "10025", "9920", "9558", "8575", "9238", "9127", "8110", "10071", "9365", "7655", "8939" ], "interaction": [ "3512", "4411", "4941"...
{ "recommended": [ "9061", "9059", "11293", "9462", "8777", "8786", "9975", "9557", "8930", "10025" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10465", "8252", "8331", "9695", "9440", "6427", "3505", "10880", "6067", "7345", "5110", "10172", "7476", "4100", "6533", "4679", "8647", "10228", "6801", "6703" ], "interaction": [ "1599", "4214", "6377...
{ "recommended": [ "6427", "10465", "8252", "8331", "9695", "9440", "3505", "10880", "6067", "7345" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11495", "2065", "7", "1805", "4027", "2815", "8628", "2660", "2296", "3292", "2166", "1660", "3347", "729", "8566", "2164", "8565", "2136", "5169", "4627" ], "interaction": [ "97", "2083", "2288", "3...
{ "recommended": [ "1805", "11495", "2065", "7", "4027", "2815", "8628", "2660", "2296", "3292" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10515", "10275", "9702", "11191", "3036", "10428", "10379", "8512", "10930", "11213", "2795", "10353", "11027", "10674", "10501", "8529", "10407", "10511", "10715", "11232" ], "interaction": [ "216", "219", ...
{ "recommended": [ "8529", "10515", "10275", "9702", "11191", "3036", "10428", "10379", "8512", "10930" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7120", "10900", "8283", "10071", "3575", "7721", "10652", "9365", "7249", "8934", "5237", "9462", "7384", "8674", "7020", "7230", "7007", "8896", "7164", "7089" ], "interaction": [ "6370", "8101", "7182"...
{ "recommended": [ "7020", "7120", "10900", "8283", "10071", "3575", "7721", "10652", "9365", "7249" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7005", "1049", "2541", "2894", "5436", "10329", "8245", "7123", "4294", "10171", "8137", "4275", "6379", "6701", "8044", "9689", "6536", "8047", "4410", "4766" ], "interaction": [ "8153", "3353", "2088",...
{ "recommended": [ "4766", "7005", "1049", "2541", "2894", "5436", "10329", "8245", "7123", "4294" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8929", "9122", "8584", "8641", "8259", "10228", "11813", "8137", "9249", "10244", "8305", "7060", "8928", "6634", "10100", "10171", "5572", "9481", "10880", "10745" ], "interaction": [ "1588", "2639", "4...
{ "recommended": [ "9249", "8929", "9122", "8584", "8641", "8259", "10228", "11813", "8137", "10244" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2839", "6627", "2918", "5974", "10357", "9283", "2266", "5143", "2541", "3036", "4790", "7186", "2957", "3640", "10944", "4537", "4410", "7524", "10741", "8684" ], "interaction": [ "2511", "1192", "4423"...
{ "recommended": [ "4537", "2839", "6627", "2918", "5974", "10357", "9283", "2266", "5143", "2541" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3028", "650", "800", "1062", "815", "403", "3390", "564", "781", "1954", "396", "343", "784", "1854", "188", "3006", "1691", "1122", "761", "736" ], "interaction": [ "746", "523", "535", "537", "...
{ "recommended": [ "343", "3028", "650", "800", "1062", "815", "403", "3390", "564", "781" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3874", "3672", "8391", "1510", "3092", "7503", "10529", "4822", "10123", "9339", "4832", "3889", "7828", "1448", "155", "6505", "3265", "7930", "808", "6307" ], "interaction": [ "12", "25", "3845", "...
{ "recommended": [ "7930", "3874", "3672", "8391", "1510", "3092", "7503", "10529", "4822", "10123" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2574", "776", "5491", "1784", "1136", "2380", "405", "770", "2435", "3733", "496", "4032", "3299", "1788", "8718", "512", "480", "1411", "9462", "283" ], "interaction": [ "1703", "4449", "5076", "405...
{ "recommended": [ "405", "2574", "776", "5491", "1784", "1136", "2380", "770", "2435", "3733" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3250", "4381", "1775", "827", "8034", "338", "725", "10141", "6000", "5835", "6886", "7846", "4726", "4001", "7788", "451", "5141", "3425", "6499", "7133" ], "interaction": [ "3564", "2528", "2892", ...
{ "recommended": [ "8034", "3250", "4381", "1775", "827", "338", "725", "10141", "6000", "5835" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11658", "11542", "11511", "11762", "11831", "11505", "11513", "11818", "11887", "11669", "11832", "11536", "11677", "10958", "9696", "11527", "11668", "11506", "11672", "11540" ], "interaction": [ "3390", "3...
{ "recommended": [ "11513", "11658", "11542", "11511", "11762", "11831", "11505", "11818", "11887", "11669" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6373", "10510", "10446", "10187", "11042", "10105", "10990", "10846", "10693", "11306", "10862", "11472", "10848", "10922", "11093", "10963", "7625", "10781", "11002", "6767" ], "interaction": [ "8753", "810...
{ "recommended": [ "10446", "6373", "10510", "10187", "11042", "10105", "10990", "10846", "10693", "11306" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10704", "10561", "10718", "11068", "10666", "4768", "11208", "7250", "6565", "11493", "10314", "10629", "10671", "9570", "5425", "11505", "11220", "10427", "11174", "9481" ], "interaction": [ "4251", "7010",...
{ "recommended": [ "6565", "10704", "10561", "10718", "11068", "10666", "4768", "11208", "7250", "11493" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "368", "7111", "3726", "3312", "2030", "2124", "2641", "2312", "2129", "473", "6751", "809", "1353", "2982", "5714", "841", "1930", "962", "9689", "481" ], "interaction": [ "1899", "1015", "2239", "22...
{ "recommended": [ "2030", "368", "7111", "3726", "3312", "2124", "2641", "2312", "2129", "473" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10175", "6458", "10606", "9418", "8768", "10350", "8776", "9165", "10032", "9106", "8975", "9760", "10031", "6597", "8485", "11097", "10033", "9990", "9285", "10587" ], "interaction": [ "8839", "182", "2...
{ "recommended": [ "9106", "10175", "6458", "10606", "9418", "8768", "10350", "8776", "9165", "10032" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7351", "6097", "11203", "10634", "10650", "10259", "9787", "8476", "9554", "9788", "7999", "11254", "8142", "6879", "9434", "4013", "10448", "9173", "9221", "9298" ], "interaction": [ "7804", "9299", "10...
{ "recommended": [ "10634", "7351", "6097", "11203", "10650", "10259", "9787", "8476", "9554", "9788" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11255", "11363", "10963", "11244", "11082", "11306", "9462", "9920", "10459", "10697", "8997", "11432", "10182", "10632", "10217", "10974", "11118", "10091", "10186", "7249" ], "interaction": [ "8893", "329"...
{ "recommended": [ "10186", "11255", "11363", "10963", "11244", "11082", "11306", "9462", "9920", "10459" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11027", "10715", "11221", "10316", "10985", "11026", "10850", "10866", "10521", "10379", "10632", "10501", "10846", "10983", "10982", "10670", "10380", "10862", "10984", "11080" ], "interaction": [ "2106", "...
{ "recommended": [ "10984", "11027", "10715", "11221", "10316", "10985", "11026", "10850", "10866", "10521" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7250", "3890", "7804", "7208", "9066", "7247", "8194", "11061", "2957", "4707", "7524", "6692", "4777", "10179", "6639", "6188", "2802", "912", "7592", "4841" ], "interaction": [ "196", "9063", "9119", ...
{ "recommended": [ "7592", "7250", "3890", "7804", "7208", "9066", "7247", "8194", "11061", "2957" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10481", "10545", "10774", "10547", "11009", "11577", "5197", "10551", "11011", "11578", "10771", "10563", "10773", "11649", "10098", "10775", "10579", "8684", "11014", "10776" ], "interaction": [ "3609", "29...
{ "recommended": [ "10098", "10481", "10545", "10774", "10547", "11009", "11577", "5197", "10551", "11011" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3629", "3321", "6845", "2726", "2031", "2037", "824", "2061", "482", "8018", "174", "769", "264", "2060", "3489", "1570", "2830", "3170", "2155", "2963" ], "interaction": [ "1333", "5338", "2330", "1...
{ "recommended": [ "174", "3629", "3321", "6845", "2726", "2031", "2037", "824", "2061", "482" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2872", "11465", "8329", "7257", "4744", "4174", "6139", "5967", "11215", "4535", "5564", "10695", "5518", "5791", "5929", "8159", "4504", "9153", "9481", "10087" ], "interaction": [ "3098", "9643", "137"...
{ "recommended": [ "4504", "2872", "11465", "8329", "7257", "4744", "4174", "6139", "5967", "11215" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7120", "6907", "7177", "7242", "8226", "9682", "9558", "9333", "9238", "8036", "7007", "1164", "8900", "8897", "3148", "1293", "9679", "6905", "6804", "9092" ], "interaction": [ "1992", "134", "3968", ...
{ "recommended": [ "6804", "7120", "6907", "7177", "7242", "8226", "9682", "9558", "9333", "9238" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11355", "11273", "10718", "11831", "9728", "10402", "11007", "11495", "11672", "10690", "11818", "9696", "10407", "11349", "10561", "10704", "10496", "11887", "11350", "10727" ], "interaction": [ "3347", "59...
{ "recommended": [ "10690", "11355", "11273", "10718", "11831", "9728", "10402", "11007", "11495", "11672" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3303", "5234", "7721", "4095", "7908", "5996", "6905", "5831", "6157", "7399", "10456", "6369", "2671", "5505", "7384", "4838", "6364", "7349", "4309", "7345" ], "interaction": [ "9406", "597", "662", ...
{ "recommended": [ "5831", "3303", "5234", "7721", "4095", "7908", "5996", "6905", "6157", "7399" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1505", "8731", "2366", "6692", "8837", "4924", "8074", "195", "482", "720", "3782", "176", "8064", "350", "3170", "1434", "2537", "3089", "7308", "6080" ], "interaction": [ "3020", "2521", "4245", "3...
{ "recommended": [ "2366", "1505", "8731", "6692", "8837", "4924", "8074", "195", "482", "720" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10115", "8478", "1227", "6701", "6363", "5333", "6703", "5168", "8679", "8331", "4100", "420", "8817", "827", "6996", "10013", "336", "6702", "10425", "10412" ], "interaction": [ "4849", "7249", "7834", ...
{ "recommended": [ "6703", "10115", "8478", "1227", "6701", "6363", "5333", "5168", "8679", "8331" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8070", "11118", "8072", "10087", "8998", "9039", "10417", "9021", "10088", "8160", "8161", "10462", "9019", "10605", "10161", "8044", "8988", "7864", "6014", "7961" ], "interaction": [ "2576", "7971", "1...
{ "recommended": [ "7864", "8070", "11118", "8072", "10087", "8998", "9039", "10417", "9021", "10088" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8167", "214", "6751", "3862", "6", "4280", "1943", "6222", "7107", "4404", "9689", "6906", "6173", "202", "1852", "1252", "420", "2153", "3665", "9052" ], "interaction": [ "905", "1801", "2830", "710...
{ "recommended": [ "7107", "8167", "214", "6751", "3862", "6", "4280", "1943", "6222", "4404" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9952", "6060", "5502", "2115", "3517", "4123", "8065", "4293", "5364", "5110", "1949", "8358", "3111", "2810", "5592", "11457", "2732", "5246", "2351", "1961" ], "interaction": [ "2249", "3554", "6790", ...
{ "recommended": [ "2732", "9952", "6060", "5502", "2115", "3517", "4123", "8065", "4293", "5364" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9157", "10353", "10724", "6597", "9760", "10263", "1969", "9958", "9166", "8484", "9162", "9984", "1164", "10175", "9990", "10930", "9973", "9163", "8922", "8776" ], "interaction": [ "3411", "3470", "347...
{ "recommended": [ "9166", "9157", "10353", "10724", "6597", "9760", "10263", "1969", "9958", "8484" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8900", "8711", "9233", "8935", "8444", "6905", "9704", "8907", "7108", "6738", "7189", "9872", "9975", "9726", "9669", "8447", "8898", "8443", "8939", "9232" ], "interaction": [ "1117", "1655", "1934", ...
{ "recommended": [ "8444", "8900", "8711", "9233", "8935", "6905", "9704", "8907", "7108", "6738" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9174", "6838", "7399", "9525", "9669", "8950", "7108", "9714", "9668", "8632", "8446", "9233", "8752", "5888", "9355", "7979", "10136", "9575", "8444", "6856" ], "interaction": [ "349", "1488", "2157", ...
{ "recommended": [ "7108", "9174", "6838", "7399", "9525", "9669", "8950", "9714", "9668", "8632" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8943", "9894", "8696", "10878", "8777", "11087", "9501", "9557", "9714", "9317", "9323", "10897", "11180", "10890", "9962", "9514", "8945", "10372", "10893", "9485" ], "interaction": [ "5459", "5298", "4...
{ "recommended": [ "9317", "8943", "9894", "8696", "10878", "8777", "11087", "9501", "9557", "9714" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5929", "10695", "373", "134", "2686", "4536", "1326", "3140", "3041", "6691", "11169", "1104", "5564", "6765", "5505", "3101", "9283", "375", "446", "2416" ], "interaction": [ "418", "950", "5602", "...
{ "recommended": [ "375", "5929", "10695", "373", "134", "2686", "4536", "1326", "3140", "3041" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11807", "6882", "10860", "3050", "11638", "6900", "11629", "4535", "8348", "5929", "446", "5563", "6966", "3089", "10862", "11267", "3816", "4578", "8347", "4038" ], "interaction": [ "137", "7210", "7913...
{ "recommended": [ "8348", "11807", "6882", "10860", "3050", "11638", "6900", "11629", "4535", "5929" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "840", "273", "724", "2620", "1035", "965", "843", "2623", "387", "816", "650", "403", "761", "668", "1498", "2241", "2797", "376", "537", "1762" ], "interaction": [ "698", "1931", "2779", "841", ...
{ "recommended": [ "2620", "840", "273", "724", "1035", "965", "843", "2623", "387", "816" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6309", "10427", "10401", "9593", "8041", "1391", "1616", "3868", "2194", "5440", "1677", "7946", "241", "671", "5834", "5110", "6691", "8758", "3036", "7308" ], "interaction": [ "6571", "1656", "6475", ...
{ "recommended": [ "1616", "6309", "10427", "10401", "9593", "8041", "1391", "3868", "2194", "5440" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7080", "7824", "8435", "9782", "8295", "9521", "8944", "8445", "7702", "8943", "8788", "3006", "8353", "8848", "9596", "6760", "8420", "8422", "8426", "9419" ], "interaction": [ "565", "800", "3949", ...
{ "recommended": [ "6760", "7080", "7824", "8435", "9782", "8295", "9521", "8944", "8445", "7702" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11511", "9696", "11669", "11672", "10589", "11762", "11654", "11536", "11354", "11543", "11832", "11390", "7989", "11818", "11588", "10831", "11513", "11676", "11541", "11655" ], "interaction": [ "7504", "68...
{ "recommended": [ "11390", "11511", "9696", "11669", "11672", "10589", "11762", "11654", "11536", "11354" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1828", "5635", "7007", "1930", "9689", "6906", "2288", "1453", "7157", "6055", "1829", "4679", "1888", "3392", "6905", "6986", "1723", "6907", "3855", "4353" ], "interaction": [ "839", "4692", "5557", ...
{ "recommended": [ "1829", "1828", "5635", "7007", "1930", "9689", "6906", "2288", "1453", "7157" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9828", "2802", "6765", "9321", "7839", "3605", "1776", "1747", "5776", "4491", "3107", "181", "5275", "5330", "9827", "3819", "2686", "3972", "3041", "2025" ], "interaction": [ "5372", "5736", "2826", ...
{ "recommended": [ "1776", "9828", "2802", "6765", "9321", "7839", "3605", "1747", "5776", "4491" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3541", "4803", "6010", "5493", "6552", "9085", "2279", "9871", "8150", "5719", "5105", "7658", "7109", "8647", "9546", "5948", "9689", "7717", "1735", "3292" ], "interaction": [ "4000", "9690", "4763", ...
{ "recommended": [ "3541", "4803", "6010", "5493", "6552", "9085", "2279", "9871", "8150", "5719" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11013", "11243", "9170", "10244", "10394", "9399", "8316", "8305", "11014", "11264", "9404", "10523", "9401", "10240", "11024", "10802", "11475", "9402", "11016", "10247" ], "interaction": [ "9802", "10101",...
{ "recommended": [ "9399", "11013", "11243", "9170", "10244", "10394", "8316", "8305", "11014", "11264" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9201", "10990", "9942", "8633", "5792", "10025", "10187", "10974", "10846", "9872", "9839", "6377", "10566", "10969", "6046", "11137", "9629", "9695", "7631", "9230" ], "interaction": [ "4291", "7669", "...
{ "recommended": [ "9695", "9201", "10990", "9942", "8633", "5792", "10025", "10187", "10974", "10846" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7195", "10563", "11491", "11259", "11014", "10802", "11757", "11016", "11008", "10770", "9656", "10771", "10806", "10390", "11756", "10732", "11474", "11334", "10579", "11352" ], "interaction": [ "11009", "1...
{ "recommended": [ "11756", "7195", "10563", "11491", "11259", "11014", "10802", "11757", "11016", "11008" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8644", "9919", "10581", "2422", "10900", "3237", "10608", "11093", "7346", "11457", "2677", "11403", "10922", "11222", "11359", "7962", "9762", "11766", "11267", "11554" ], "interaction": [ "3762", "6558", ...
{ "recommended": [ "10608", "8644", "9919", "10581", "2422", "10900", "3237", "11093", "7346", "11457" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9669", "8893", "10632", "8895", "8932", "9462", "9153", "9920", "10985", "8036", "10983", "7345", "9235", "10025", "10428", "5963", "6381", "9364", "9132", "8863" ], "interaction": [ "1795", "2223", "946...
{ "recommended": [ "8893", "9669", "10632", "8895", "8932", "9462", "9153", "9920", "10985", "8036" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10758", "10763", "11294", "11542", "11728", "10978", "10847", "11341", "10237", "11727", "10962", "11296", "10261", "11485", "10926", "10846", "4723", "11114", "11465", "11840" ], "interaction": [ "9802", "1...
{ "recommended": [ "11485", "10758", "10763", "11294", "11542", "11728", "10978", "10847", "11341", "10237" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11641", "10671", "10963", "10718", "2795", "11244", "11134", "8718", "10924", "11180", "11208", "10427", "11818", "11655", "11137", "11079", "10444", "11028", "11349", "11221" ], "interaction": [ "5360", "91...
{ "recommended": [ "11028", "11641", "10671", "10963", "10718", "2795", "11244", "11134", "8718", "10924" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4186", "8789", "2532", "3303", "3291", "5146", "1181", "10011", "2963", "5942", "4544", "1629", "4074", "10880", "8632", "2854", "3426", "7697", "2515", "3405" ], "interaction": [ "7310", "318", "8167", ...
{ "recommended": [ "1629", "4186", "8789", "2532", "3303", "3291", "5146", "1181", "10011", "2963" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9696", "10718", "11349", "11306", "10571", "11007", "11818", "8799", "10314", "11099", "11169", "9765", "10496", "10585", "6458", "11588", "10508", "11403", "11094", "11057" ], "interaction": [ "1960", "2916...
{ "recommended": [ "11169", "9696", "10718", "11349", "11306", "10571", "11007", "11818", "8799", "10314" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7179", "8040", "6445", "6343", "9", "9011", "5141", "8894", "4381", "7086", "8090", "7708", "10628", "1426", "8043", "6222", "10710", "10117", "8126", "8573" ], "interaction": [ "3742", "1167", "1168", ...
{ "recommended": [ "8043", "7179", "8040", "6445", "6343", "9", "9011", "5141", "8894", "4381" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9066", "6573", "1616", "1942", "10369", "356", "482", "3597", "4877", "6692", "36", "8214", "6521", "4829", "283", "5440", "4707", "2221", "6884", "2228" ], "interaction": [ "1357", "4651", "7241", "...
{ "recommended": [ "4707", "9066", "6573", "1616", "1942", "10369", "356", "482", "3597", "4877" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11373", "4832", "11137", "11291", "11643", "11301", "11458", "11404", "10963", "7909", "11244", "10372", "7249", "11560", "10468", "10758", "10962", "11238", "10900", "11708" ], "interaction": [ "4039", "840...
{ "recommended": [ "11560", "11373", "4832", "11137", "11291", "11643", "11301", "11458", "11404", "10963" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9462", "9566", "9569", "9442", "7982", "9135", "9127", "11221", "8718", "8852", "10025", "10200", "11180", "9131", "9123", "10410", "5379", "11151", "9129", "9132" ], "interaction": [ "3839", "6915", "91...
{ "recommended": [ "8852", "9462", "9566", "9569", "9442", "7982", "9135", "9127", "11221", "8718" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10962", "11293", "9591", "7458", "10232", "9127", "9365", "10372", "9575", "10237", "11031", "10963", "10429", "10984", "10380", "9153", "9557", "10878", "11723", "10230" ], "interaction": [ "7204", "2025", ...
{ "recommended": [ "9591", "10962", "11293", "7458", "10232", "9127", "9365", "10372", "9575", "10237" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11341", "10962", "11301", "10846", "10436", "10978", "11726", "8644", "10900", "11141", "11295", "11887", "11588", "11542", "10963", "11404", "11138", "11899", "11137", "11703" ], "interaction": [ "1000", "1...
{ "recommended": [ "11295", "11341", "10962", "11301", "10846", "10436", "10978", "11726", "8644", "10900" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8893", "683", "5328", "7005", "5361", "1471", "7908", "9231", "6381", "3174", "7018", "5237", "7345", "6990", "9880", "7384", "7399", "8894", "8036", "7298" ], "interaction": [ "3216", "3382", "3412", ...
{ "recommended": [ "6381", "8893", "683", "5328", "7005", "5361", "1471", "7908", "9231", "3174" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7086", "2136", "4319", "4509", "2865", "2129", "1173", "5141", "3437", "3299", "2600", "5107", "2831", "3019", "3303", "765", "7250", "4775", "1773", "4001" ], "interaction": [ "7107", "214", "598", ...
{ "recommended": [ "2600", "7086", "2136", "4319", "4509", "2865", "2129", "1173", "5141", "3437" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9823", "8715", "9593", "10761", "10610", "8120", "10311", "8921", "8752", "8753", "10703", "8843", "7215", "7721", "9539", "10412", "8864", "10380", "10316", "10609" ], "interaction": [ "10259", "11424", ...
{ "recommended": [ "7215", "9823", "8715", "9593", "10761", "10610", "8120", "10311", "8921", "8752" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11340", "9728", "11087", "11244", "10571", "11028", "11086", "11007", "8794", "10896", "11349", "11306", "10314", "10500", "2795", "10496", "11055", "11818", "10963", "11169" ], "interaction": [ "5472", "561...
{ "recommended": [ "10896", "11340", "9728", "11087", "11244", "10571", "11028", "11086", "11007", "8794" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11208", "11169", "11543", "9728", "10718", "11831", "11654", "11099", "10508", "10407", "11818", "11730", "9696", "11542", "11672", "11306", "2795", "8799", "11212", "10022" ], "interaction": [ "46", "1423",...
{ "recommended": [ "11212", "11208", "11169", "11543", "9728", "10718", "11831", "11654", "11099", "10508" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11134", "6535", "6010", "9899", "4276", "5937", "11405", "3350", "9570", "11427", "9085", "11137", "4407", "5166", "11493", "900", "4450", "444", "10427", "11028" ], "interaction": [ "322", "5322", "5131...
{ "recommended": [ "4276", "11134", "6535", "6010", "9899", "5937", "11405", "3350", "9570", "11427" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8126", "10900", "8939", "10846", "8644", "9919", "8238", "9669", "9695", "6906", "6221", "8896", "7395", "7214", "3862", "8874", "8891", "10080", "5364", "9926" ], "interaction": [ "1236", "6182", "487",...
{ "recommended": [ "8874", "8126", "10900", "8939", "10846", "8644", "9919", "8238", "9669", "9695" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11425", "7999", "8722", "8387", "7737", "10650", "8142", "7351", "7927", "165", "9779", "8338", "9221", "9104", "9434", "9554", "10259", "7688", "8854", "4013" ], "interaction": [ "11637", "6965", "5663"...
{ "recommended": [ "8854", "11425", "7999", "8722", "8387", "7737", "10650", "8142", "7351", "7927" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5572", "782", "4350", "5779", "6521", "302", "3793", "3675", "363", "3036", "2248", "10460", "5150", "4236", "4823", "2530", "8137", "9063", "5437", "2576" ], "interaction": [ "2101", "809", "3391", ...
{ "recommended": [ "10460", "5572", "782", "4350", "5779", "6521", "302", "3793", "3675", "363" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "620", "10561", "241", "597", "482", "662", "1677", "10743", "6426", "176", "9727", "356", "137", "3750", "5440", "1434", "237", "2918", "7308", "8718" ], "interaction": [ "2182", "393", "6475", "6586...
{ "recommended": [ "662", "620", "10561", "241", "597", "482", "1677", "10743", "6426", "176" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2115", "7232", "179", "7346", "181", "9066", "4774", "3432", "9153", "2039", "3098", "1794", "7972", "7521", "469", "7037", "9371", "4948", "9593", "4148" ], "interaction": [ "4281", "5972", "2516", ...
{ "recommended": [ "1794", "2115", "7232", "179", "7346", "181", "9066", "4774", "3432", "9153" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10057", "11508", "10228", "8997", "9292", "10055", "9288", "10073", "11506", "11215", "11505", "6014", "10078", "10058", "9280", "10056", "9822", "10900", "7804", "6521" ], "interaction": [ "1229", "1202", ...
{ "recommended": [ "9288", "10057", "11508", "10228", "8997", "9292", "10055", "10073", "11506", "11215" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9496", "9512", "9508", "10641", "9528", "11000", "11616", "9469", "11363", "10488", "11589", "10489", "10525", "10873", "9509", "9500", "11373", "11367", "9503", "9493" ], "interaction": [ "7197", "9497", ...
{ "recommended": [ "9528", "9496", "9512", "9508", "10641", "11000", "11616", "9469", "11363", "10488" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4092", "25", "5813", "1510", "4623", "2137", "6458", "10264", "4707", "7364", "176", "9106", "5118", "134", "9339", "3689", "8975", "410", "1183", "3804" ], "interaction": [ "2021", "6206", "2343", "...
{ "recommended": [ "134", "4092", "25", "5813", "1510", "4623", "2137", "6458", "10264", "4707" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11121", "8715", "8081", "4870", "7926", "10429", "8241", "10609", "10179", "6985", "9021", "11051", "7840", "8025", "11493", "9618", "7458", "9596", "9192", "3055" ], "interaction": [ "4936", "4937", "78...
{ "recommended": [ "8025", "11121", "8715", "8081", "4870", "7926", "10429", "8241", "10609", "10179" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11493", "9824", "2516", "10073", "8799", "508", "2439", "4344", "9025", "4762", "9686", "909", "2442", "8558", "2441", "10833", "11730", "11405", "11571", "11666" ], "interaction": [ "3590", "7728", "924...
{ "recommended": [ "909", "11493", "9824", "2516", "10073", "8799", "508", "2439", "4344", "9025" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "765", "10428", "6941", "6010", "4959", "10632", "5296", "8632", "2957", "10389", "9010", "7247", "9689", "7789", "5948", "8891", "8752", "9864", "8153", "9627" ], "interaction": [ "4560", "2138", "7687",...
{ "recommended": [ "7789", "765", "10428", "6941", "6010", "4959", "10632", "5296", "8632", "2957" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2115", "3573", "3190", "45", "6381", "257", "2042", "11403", "374", "7929", "7346", "3041", "256", "3451", "181", "7782", "597", "1223", "5228", "6112" ], "interaction": [ "3861", "9462", "11131", "3...
{ "recommended": [ "3573", "2115", "3190", "45", "6381", "257", "2042", "11403", "374", "7929" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1655", "1104", "6559", "6886", "2042", "2285", "9462", "10141", "4829", "9682", "9539", "4650", "5895", "920", "5260", "8095", "10974", "9710", "6296", "971" ], "interaction": [ "6549", "6507", "4260", ...
{ "recommended": [ "2285", "1655", "1104", "6559", "6886", "2042", "9462", "10141", "4829", "9682" ] }
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