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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": [ "6019", "6381", "4260", "4650", "7038", "6060", "2994", "6911", "2042", "7807", "1919", "4072", "11288", "4103", "2884", "10710", "1585", "7492", "9247", "2483", "5141", "1488", "1800", "6471", "5440"...
{ "recommended": [ "5972", "6019", "6381", "4260", "4650", "7038", "6060", "2994", "6911", "2042" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11291", "10899", "9594", "9471", "10914", "9507", "8848", "8186", "10732", "10911", "11681", "8424", "10888", "10879", "9514", "10806", "10892", "11707", "9493", "11005", "9495", "9487", "11367", "10301"...
{ "recommended": [ "10894", "11291", "10899", "9594", "9471", "10914", "9507", "8848", "8186", "10732" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4832", "1391", "3589", "3142", "3986", "7602", "6397", "3613", "3476", "4220", "3889", "5170", "8388", "2947", "2400", "8884", "6268", "5639", "3861", "5563", "7357", "5752", "3689", "3265", "5930", ...
{ "recommended": [ "2310", "4832", "1391", "3589", "3142", "3986", "7602", "6397", "3613", "3476" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11404", "6346", "10186", "10528", "9034", "9025", "8455", "7499", "10183", "10198", "6014", "9780", "10891", "2116", "9288", "7249", "10195", "10217", "10088", "10179", "11411", "10055", "9021", "9039", ...
{ "recommended": [ "7416", "11404", "6346", "10186", "10528", "9034", "9025", "8455", "7499", "10183" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3589", "5581", "6426", "11404", "7958", "3613", "8369", "9729", "11411", "11403", "6275", "3809", "7934", "9822", "7948", "4059", "9369", "5895", "7316", "11666", "6850", "6986", "4450", "5666", "112...
{ "recommended": [ "9369", "3589", "5581", "6426", "11404", "7958", "3613", "8369", "9729", "11411" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1585", "2182", "6262", "1647", "9871", "1171", "5146", "10713", "8154", "8632", "10514", "4920", "2525", "8180", "993", "24", "5124", "6447", "1227", "2894", "336", "8628", "3293", "8518", "9629", ...
{ "recommended": [ "10713", "1585", "2182", "6262", "1647", "9871", "1171", "5146", "8154", "8632" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "200", "971", "10670", "4522", "8037", "2541", "1930", "6904", "9462", "1049", "6672", "2042", "9355", "10843", "482", "4705", "1265", "4282", "137", "1100", "8839", "859", "725", "5741", "2891", ...
{ "recommended": [ "2213", "200", "971", "10670", "4522", "8037", "2541", "1930", "6904", "9462" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6575", "2460", "7721", "4158", "6906", "6381", "212", "2612", "7237", "4408", "5364", "1812", "1008", "3810", "7645", "8566", "7383", "4499", "4154", "389", "11142", "1585", "1644", "3292", "1664", ...
{ "recommended": [ "10713", "6575", "2460", "7721", "4158", "6906", "6381", "212", "2612", "7237" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8535", "4567", "5655", "7514", "6007", "7857", "3642", "6343", "11808", "5935", "10900", "4046", "5930", "9730", "8998", "9135", "9643", "9524", "6046", "2728", "10862", "6252", "8102", "7559", "6527...
{ "recommended": [ "9643", "8535", "4567", "5655", "7514", "6007", "7857", "3642", "6343", "11808" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10999", "9323", "11613", "11666", "11778", "11292", "9469", "10937", "11367", "11707", "11456", "10887", "9342", "11606", "10905", "11482", "10998", "10888", "10914", "9487", "10574", "9815", "11301", "1...
{ "recommended": [ "11342", "10999", "9323", "11613", "11666", "11778", "11292", "9469", "10937", "11367" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7388", "1919", "8343", "5671", "8167", "7378", "9233", "1252", "8921", "5276", "1655", "8228", "3347", "7395", "7379", "5247", "7007", "8754", "4011", "2182", "3861", "3341", "8728", "1626", "4634", ...
{ "recommended": [ "6918", "7388", "1919", "8343", "5671", "8167", "7378", "9233", "1252", "8921" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10018", "10684", "7123", "7160", "9206", "10796", "7518", "8370", "5878", "9387", "6381", "10230", "11393", "9250", "10091", "8974", "10229", "9131", "11712", "11082", "3946", "9929", "9202", "8241", ...
{ "recommended": [ "10325", "10018", "10684", "7123", "7160", "9206", "10796", "7518", "8370", "5878" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10058", "8166", "9135", "10628", "7530", "6906", "4235", "7006", "8126", "1655", "8895", "9231", "6221", "6381", "5354", "7708", "2652", "3742", "8231", "8911", "5364", "4509", "1899", "5332", "10056...
{ "recommended": [ "7381", "10058", "8166", "9135", "10628", "7530", "6906", "4235", "7006", "8126" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4623", "7988", "10412", "6117", "4777", "622", "2337", "11327", "200", "10293", "6070", "446", "8839", "5118", "11395", "3571", "2183", "1259", "137", "8995", "10785", "6416", "4610", "9288", "4832",...
{ "recommended": [ "25", "4623", "7988", "10412", "6117", "4777", "622", "2337", "11327", "200" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3352", "3089", "342", "3330", "2227", "5772", "6357", "847", "3850", "5930", "133", "181", "7357", "283", "1325", "7411", "1360", "356", "3890", "700", "2182", "4436", "2753", "1984", "4881", "21...
{ "recommended": [ "782", "3352", "3089", "342", "3330", "2227", "5772", "6357", "847", "3850" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5005", "8956", "9721", "10342", "5567", "9909", "10523", "10454", "6632", "10245", "9400", "8316", "7151", "9401", "10239", "10321", "8809", "9403", "9171", "10345", "5801", "10390", "4136", "9399", ...
{ "recommended": [ "8259", "5005", "8956", "9721", "10342", "5567", "9909", "10523", "10454", "6632" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6210", "10031", "6205", "9285", "8492", "9461", "8503", "8774", "8498", "9106", "8485", "8597", "3672", "8873", "9473", "438", "7748", "6978", "9396", "8265", "9278", "8771", "8499", "6997", "8462", ...
{ "recommended": [ "8013", "6210", "10031", "6205", "9285", "8492", "9461", "8503", "8774", "8498" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10584", "10508", "10401", "2327", "11404", "8795", "5440", "11062", "11221", "10264", "9666", "10499", "11001", "10896", "9593", "10374", "11094", "8794", "9135", "11134", "11057", "11124", "10398", "104...
{ "recommended": [ "8718", "10584", "10508", "10401", "2327", "11404", "8795", "5440", "11062", "11221" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3119", "10056", "8166", "8991", "8126", "9135", "7518", "2615", "8843", "6221", "6402", "8329", "10060", "7208", "8921", "6562", "10712", "11027", "8605", "4532", "11061", "10428", "6340", "7542", "1...
{ "recommended": [ "6402", "3119", "10056", "8166", "8991", "8126", "9135", "7518", "2615", "8843" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1773", "895", "5402", "2608", "1827", "7436", "3286", "3437", "8252", "727", "1360", "6262", "7442", "5510", "5090", "5021", "7123", "235", "5718", "4025", "5508", "7432", "3347", "10228", "5717", ...
{ "recommended": [ "5719", "1773", "895", "5402", "2608", "1827", "7436", "3286", "3437", "8252" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "662", "270", "6551", "1538", "4977", "4561", "2918", "1801", "643", "4978", "3890", "3489", "6308", "1360", "971", "3101", "2970", "7220", "2194", "1136", "4072", "473", "1084", "3572", "9462", "...
{ "recommended": [ "2918", "662", "270", "6551", "1538", "4977", "4561", "1801", "643", "4978" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9233", "8503", "7516", "8444", "9572", "9197", "9274", "9961", "7513", "9682", "95", "9317", "8368", "9069", "10025", "9714", "8443", "6277", "9584", "9583", "8446", "5522", "8930", "9333", "8278", ...
{ "recommended": [ "9061", "9233", "8503", "7516", "8444", "9572", "9197", "9274", "9961", "7513" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2957", "6776", "6533", "8155", "1370", "2766", "4275", "6267", "10880", "5938", "2541", "4973", "8331", "876", "2460", "6987", "8586", "8366", "6426", "7514", "3742", "6252", "11220", "9135", "8018",...
{ "recommended": [ "6427", "2957", "6776", "6533", "8155", "1370", "2766", "4275", "6267", "10880" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7658", "5646", "3347", "3731", "3642", "3862", "4012", "11405", "1300", "3307", "2569", "971", "1989", "7123", "2497", "5859", "2660", "4575", "1151", "2661", "4154", "4039", "3155", "729", "6987", ...
{ "recommended": [ "1805", "7658", "5646", "3347", "3731", "3642", "3862", "4012", "11405", "1300" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11058", "9579", "10585", "10501", "8794", "11055", "8797", "11232", "11227", "11135", "10379", "1230", "3586", "10314", "10031", "2884", "9462", "11132", "11210", "8566", "11062", "11211", "10929", "1092...
{ "recommended": [ "8529", "11058", "9579", "10585", "10501", "8794", "11055", "8797", "11232", "11227" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "29", "9000", "6905", "8874", "10900", "8862", "7007", "6381", "10591", "10982", "9920", "9462", "1164", "3770", "8166", "6060", "8934", "6221", "7249", "3945", "1735", "3352", "8126", "2176", "8974",...
{ "recommended": [ "7020", "29", "9000", "6905", "8874", "10900", "8862", "7007", "6381", "10591" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3573", "4877", "5486", "3742", "5063", "3890", "9010", "3610", "4833", "7123", "2033", "727", "5146", "11361", "1375", "2525", "664", "1812", "766", "3423", "5942", "2648", "3303", "7908", "4046", ...
{ "recommended": [ "4766", "3573", "4877", "5486", "3742", "5063", "3890", "9010", "3610", "4833" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10526", "3193", "10653", "8621", "4476", "10326", "9249", "9316", "10710", "4260", "9539", "8044", "7870", "9030", "9098", "7345", "5930", "8285", "10228", "8080", "8116", "3927", "10468", "11403", "...
{ "recommended": [ "9249", "10526", "3193", "10653", "8621", "4476", "10326", "9316", "10710", "4260" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9010", "4974", "10843", "8458", "7123", "8044", "11002", "5282", "10326", "11610", "7", "11405", "11429", "11432", "8166", "11318", "6603", "10522", "9930", "6687", "7781", "8099", "7221", "7701", "8...
{ "recommended": [ "4537", "9010", "4974", "10843", "8458", "7123", "8044", "11002", "5282", "10326" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2538", "1462", "1212", "1096", "1004", "999", "1835", "2628", "631", "259", "869", "761", "3062", "179", "564", "800", "792", "373", "1691", "822", "273", "309", "707", "396", "668", "1463", ...
{ "recommended": [ "343", "2538", "1462", "1212", "1096", "1004", "999", "1835", "2628", "631" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9619", "9780", "11486", "9884", "8947", "1490", "5978", "10128", "1950", "10310", "15", "7709", "1308", "3346", "2395", "6473", "6602", "2997", "5852", "10360", "3571", "7931", "74", "4596", "4153", ...
{ "recommended": [ "7930", "9619", "9780", "11486", "9884", "8947", "1490", "5978", "10128", "1950" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "914", "1117", "1085", "905", "582", "1788", "2769", "1743", "6906", "7379", "2380", "7006", "6035", "405", "1464", "4397", "2020", "1965", "2042", "1655", "4406", "290", "480", "259", "241", "446...
{ "recommended": [ "405", "914", "1117", "1085", "905", "582", "1788", "2769", "1743", "6906" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "561", "5990", "9328", "174", "2576", "349", "2209", "6949", "7162", "3665", "5305", "6286", "5249", "1", "4650", "298", "2166", "7237", "6203", "340", "6575", "3303", "6010", "2952", "770", "1032...
{ "recommended": [ "8034", "561", "5990", "9328", "174", "2576", "349", "2209", "6949", "7162" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8866", "11537", "10398", "11831", "11686", "11513", "11675", "11820", "11169", "11654", "11657", "11891", "11667", "11641", "11534", "11818", "11698", "6458", "11867", "11541", "11640", "11196", "11594", ...
{ "recommended": [ "11513", "8866", "11537", "10398", "11831", "11686", "11675", "11820", "11169", "11654" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10862", "11001", "9091", "10736", "10380", "6528", "10876", "9650", "10918", "10847", "10808", "10105", "10517", "11080", "11081", "11213", "11026", "11405", "11088", "2213", "10632", "11128", "10924", "...
{ "recommended": [ "10446", "10862", "11001", "9091", "10736", "10380", "6528", "10876", "9650", "10918" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11220", "11677", "4959", "11670", "6565", "11061", "7192", "11673", "10666", "11534", "10253", "10727", "11506", "7976", "11675", "5092", "3669", "10672", "8166", "7000", "4623", "6871", "11134", "8231",...
{ "recommended": [ "6565", "11220", "11677", "4959", "11670", "11061", "7192", "11673", "10666", "11534" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2124", "1812", "2641", "8817", "7414", "971", "290", "1763", "1558", "1703", "2030", "3113", "181", "4012", "2405", "481", "9994", "2652", "4497", "759", "3763", "3312", "6427", "340", "6010", "3...
{ "recommended": [ "2030", "2124", "1812", "2641", "8817", "7414", "971", "290", "1763", "1558" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7406", "6458", "221", "8776", "4610", "9671", "9858", "7898", "5969", "3190", "7339", "9760", "9166", "1141", "4092", "1490", "10607", "9707", "9165", "6574", "621", "8820", "64", "9285", "8597", ...
{ "recommended": [ "9106", "7406", "6458", "221", "8776", "4610", "9671", "9858", "7898", "5969" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6328", "9144", "11287", "9841", "9429", "6085", "6083", "8142", "11768", "6657", "7927", "10259", "7724", "9892", "7634", "7795", "11286", "4613", "5653", "11636", "4617", "4013", "7737", "7421", "10...
{ "recommended": [ "10634", "6328", "9144", "11287", "9841", "9429", "6085", "6083", "8142", "11768" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10411", "11429", "10196", "10178", "10210", "9717", "10372", "10632", "11449", "11126", "10152", "11645", "10157", "11363", "10848", "10984", "9899", "10554", "11699", "11318", "10160", "10326", "11499", ...
{ "recommended": [ "10186", "10411", "11429", "10196", "10178", "10210", "9717", "10372", "10632", "11449" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11079", "10521", "11393", "11088", "10477", "10337", "8896", "2068", "10829", "11593", "3570", "11221", "10846", "9591", "10378", "1525", "10405", "10985", "9668", "10700", "10232", "10676", "10501", "10...
{ "recommended": [ "10984", "11079", "10521", "11393", "11088", "10477", "10337", "8896", "2068", "10829" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8651", "1223", "8067", "9535", "4945", "2116", "7848", "4786", "8075", "8839", "3778", "8623", "10156", "11215", "9568", "4860", "4599", "200", "8074", "3668", "2576", "8288", "8290", "10211", "6041"...
{ "recommended": [ "7592", "8651", "1223", "8067", "9535", "4945", "2116", "7848", "4786", "8075" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11577", "8663", "9254", "7578", "11578", "10482", "10806", "11307", "3772", "10683", "10681", "10097", "9150", "9853", "10361", "11580", "5692", "7665", "9255", "5567", "9229", "8428", "10545", "10648", ...
{ "recommended": [ "10098", "11577", "8663", "9254", "7578", "11578", "10482", "10806", "11307", "3772" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2378", "3899", "2541", "200", "6992", "2963", "3347", "181", "4668", "3307", "5212", "2035", "2136", "2327", "356", "5440", "1360", "1874", "4184", "174", "3840", "7346", "1829", "1529", "1177", ...
{ "recommended": [ "174", "2378", "3899", "2541", "200", "6992", "2963", "3347", "181", "4668" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10745", "8839", "4707", "8354", "7100", "2541", "8407", "7301", "6941", "3400", "7120", "5791", "6159", "9364", "5075", "3352", "3589", "11405", "11215", "9316", "8981", "6888", "5260", "4450", "6692...
{ "recommended": [ "4504", "10745", "8839", "4707", "8354", "7100", "2541", "8407", "7301", "6941" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9388", "6208", "9679", "8443", "7020", "7318", "7748", "6056", "8725", "9062", "7908", "7108", "6288", "7349", "7278", "7003", "7504", "7690", "4973", "7242", "9461", "8920", "4278", "8095", "6907", ...
{ "recommended": [ "6804", "9388", "6208", "9679", "8443", "7020", "7318", "7748", "6056", "8725" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10498", "11640", "10690", "10708", "11350", "9103", "10427", "11249", "11831", "1957", "11506", "11054", "10517", "7989", "11675", "10401", "11545", "11512", "11534", "11818", "11462", "11669", "11028", ...
{ "recommended": [ "10690", "10498", "11640", "10708", "11350", "9103", "10427", "11249", "11831", "1957" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3908", "4974", "7600", "2671", "6981", "5831", "9388", "2936", "6231", "7088", "7073", "7007", "7293", "7252", "7691", "5450", "7504", "4095", "7243", "6949", "7518", "5237", "7089", "7310", "7748", ...
{ "recommended": [ "5831", "3908", "4974", "7600", "2671", "6981", "9388", "2936", "6231", "7088" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5655", "2588", "2122", "5611", "158", "6474", "5616", "2792", "2044", "2095", "7832", "3273", "6207", "6470", "2382", "2042", "1663", "700", "358", "2182", "134", "8584", "2577", "8608", "5146", ...
{ "recommended": [ "2366", "5655", "2588", "2122", "5611", "158", "6474", "5616", "2792", "2044" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4025", "5835", "11426", "2279", "6996", "7170", "6363", "8568", "4920", "10332", "11699", "8928", "5160", "561", "10657", "701", "6701", "2894", "2358", "6703", "174", "653", "11405", "6255", "1002",...
{ "recommended": [ "6703", "4025", "5835", "11426", "2279", "6996", "7170", "6363", "8568", "4920" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9036", "8159", "3586", "8999", "8075", "8839", "9119", "11405", "11218", "9019", "6345", "8079", "10056", "7863", "8081", "7574", "9003", "8073", "2051", "8080", "8160", "8998", "10462", "11215", "63...
{ "recommended": [ "7864", "9036", "8159", "3586", "8999", "8075", "8839", "9119", "11405", "11218" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6618", "2661", "8512", "8167", "2994", "7684", "561", "962", "6776", "9454", "4423", "3377", "1655", "4499", "4104", "2967", "3117", "1842", "4260", "2288", "3665", "9052", "6223", "2541", "4412", ...
{ "recommended": [ "7107", "6618", "2661", "8512", "8167", "2994", "7684", "561", "962", "6776" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "342", "437", "1617", "6692", "4389", "6813", "5505", "3642", "1205", "11405", "2732", "5929", "900", "11555", "1440", "1360", "1970", "6542", "7420", "5440", "6080", "7281", "7993", "1585", "903", ...
{ "recommended": [ "2732", "342", "437", "1617", "6692", "4389", "6813", "5505", "3642", "1205" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9951", "9100", "8925", "8503", "9990", "8488", "9621", "10031", "8484", "8792", "6973", "9367", "9157", "9583", "9162", "9166", "7995", "917", "8862", "9425", "7714", "4278", "9545", "7979", "9671", ...
{ "recommended": [ "9166", "9951", "9100", "8925", "8503", "9990", "8488", "9621", "10031", "8484" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7670", "9233", "8129", "8444", "9543", "9232", "8935", "9333", "7379", "8927", "5859", "9704", "8605", "9542", "6218", "10984", "4011", "8504", "8166", "9389", "9391", "3570", "7924", "4729", "9703",...
{ "recommended": [ "8444", "7670", "9233", "8129", "9543", "9232", "8935", "9333", "7379", "8927" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7746", "7153", "8331", "8443", "10465", "692", "6949", "7908", "7687", "6905", "9639", "9365", "1412", "9124", "9584", "10632", "7879", "5220", "9232", "6851", "7319", "7979", "8446", "3286", "8166",...
{ "recommended": [ "7108", "7746", "7153", "8331", "8443", "10465", "692", "6949", "7908", "7687" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11061", "8405", "9827", "11221", "9235", "8943", "10376", "10895", "9514", "10110", "95", "8404", "9462", "9166", "11236", "8777", "10697", "10897", "11087", "8839", "10025", "9443", "11068", "8786", ...
{ "recommended": [ "9317", "11061", "8405", "9827", "11221", "9235", "8943", "10376", "10895", "9514" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5666", "5813", "782", "898", "5358", "2237", "6289", "1899", "1217", "10264", "1464", "2576", "2327", "3483", "508", "1930", "2095", "1387", "2228", "11169", "3363", "4127", "2213", "1551", "450", ...
{ "recommended": [ "375", "5666", "5813", "782", "898", "5358", "2237", "6289", "1899", "1217" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7662", "9025", "2927", "6159", "8348", "7810", "10409", "7969", "10073", "5967", "8696", "11481", "10252", "5791", "5437", "5563", "11411", "4547", "3476", "5779", "8645", "11025", "10412", "8981", "...
{ "recommended": [ "8348", "7662", "9025", "2927", "6159", "7810", "10409", "7969", "10073", "5967" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2743", "1093", "2466", "1117", "1517", "205", "824", "1096", "1464", "239", "843", "906", "2172", "2241", "2392", "423", "1128", "2129", "2588", "1900", "840", "3742", "1762", "2720", "761", "923...
{ "recommended": [ "2620", "2743", "1093", "2466", "1117", "1517", "205", "824", "1096", "1464" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6551", "2541", "10401", "9084", "137", "200", "2213", "9053", "10194", "6752", "5930", "597", "5834", "7312", "4425", "8269", "482", "4700", "8758", "3036", "3303", "7220", "3299", "7305", "4768", ...
{ "recommended": [ "1616", "6551", "2541", "10401", "9084", "137", "200", "2213", "9053", "10194" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9536", "9061", "9485", "9754", "6360", "5428", "6290", "4912", "8417", "6496", "8981", "5861", "6760", "8368", "6872", "4763", "7773", "4043", "6302", "5831", "7197", "7526", "4854", "6593", "3352", ...
{ "recommended": [ "6760", "9536", "9061", "9485", "9754", "6360", "5428", "6290", "4912", "8417" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11759", "11543", "10704", "11684", "11390", "11527", "11590", "11512", "11760", "11354", "11183", "11576", "11268", "11544", "11686", "10588", "10933", "10672", "11667", "11670", "11668", "11820", "11751", ...
{ "recommended": [ "11390", "11759", "11543", "10704", "11684", "11527", "11590", "11512", "11760", "11354" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1827", "4408", "2506", "1553", "1867", "4103", "6906", "2417", "9143", "2020", "2460", "3286", "3945", "3347", "1471", "4056", "2994", "593", "391", "3116", "3979", "8886", "230", "1488", "1919", ...
{ "recommended": [ "1829", "1827", "4408", "2506", "1553", "1867", "4103", "6906", "2417", "9143" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3224", "7088", "782", "3229", "3216", "6415", "4272", "5666", "1762", "6902", "5418", "3220", "7030", "1747", "349", "7045", "8954", "3213", "3432", "5625", "7126", "5230", "4365", "660", "3513", ...
{ "recommended": [ "1776", "3224", "7088", "782", "3229", "3216", "6415", "4272", "5666", "1762" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6906", "5493", "692", "8095", "3858", "1828", "8536", "3292", "1719", "7788", "8126", "2043", "2613", "9592", "11219", "2805", "1370", "6427", "4471", "9668", "1773", "3444", "3742", "8566", "6949", ...
{ "recommended": [ "3541", "6906", "5493", "692", "8095", "3858", "1828", "8536", "3292", "1719" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11263", "9346", "8305", "9399", "11299", "8801", "10242", "9400", "10771", "10391", "7665", "8379", "10804", "11016", "10390", "9436", "9402", "11565", "7151", "9445", "10523", "9172", "9768", "9404", ...
{ "recommended": [ "9399", "11263", "9346", "8305", "11299", "8801", "10242", "9400", "10771", "10391" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8935", "6121", "10985", "9364", "6340", "4407", "10866", "6556", "9280", "10784", "6221", "7717", "3437", "8898", "6871", "469", "9482", "7379", "7667", "8166", "9689", "9462", "8042", "8778", "8150"...
{ "recommended": [ "9695", "8935", "6121", "10985", "9364", "6340", "4407", "10866", "6556", "9280" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11035", "10804", "11669", "11686", "10140", "10455", "11188", "11758", "10296", "1608", "11475", "10579", "10806", "10773", "8663", "10238", "4580", "10771", "11259", "10298", "7665", "10390", "10692", "...
{ "recommended": [ "11756", "11035", "10804", "11669", "11686", "10140", "10455", "11188", "11758", "10296" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8643", "10471", "4302", "9717", "8645", "11554", "7050", "8050", "2677", "10796", "11449", "462", "10252", "4623", "11766", "11124", "10217", "11415", "10085", "11500", "10809", "11499", "10191", "10798"...
{ "recommended": [ "10608", "8643", "10471", "4302", "9717", "8645", "11554", "7050", "8050", "2677" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8036", "6859", "8396", "8895", "10679", "9644", "7007", "6532", "8533", "6218", "9569", "9376", "10104", "6296", "8893", "9010", "9193", "10379", "6373", "9388", "7006", "9180", "8404", "5006", "1037...
{ "recommended": [ "8893", "8036", "6859", "8396", "8895", "10679", "9644", "7007", "6532", "8533" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9963", "10261", "11778", "10766", "7928", "10781", "11293", "9730", "10846", "11694", "8295", "6318", "9322", "5967", "11485", "9364", "10883", "11136", "10176", "10372", "9920", "8296", "11292", "10409"...
{ "recommended": [ "11485", "9963", "10261", "11778", "10766", "7928", "10781", "11293", "9730", "10846" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11094", "11066", "11477", "11155", "10374", "11517", "11508", "10401", "8524", "8512", "11180", "11831", "9928", "11079", "10384", "7514", "10708", "10116", "9569", "10497", "10399", "11575", "10893", "1...
{ "recommended": [ "11028", "11094", "11066", "11477", "11155", "10374", "11517", "11508", "10401", "8524" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8150", "3527", "4043", "803", "4074", "10991", "9533", "8833", "42", "9010", "3216", "8055", "10178", "6721", "2338", "639", "1997", "9689", "9714", "5440", "179", "3980", "11796", "3541", "9091", ...
{ "recommended": [ "1629", "8150", "3527", "4043", "803", "4074", "10991", "9533", "8833", "42" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10407", "11246", "11404", "11244", "11056", "10352", "10400", "11403", "7220", "11057", "10689", "11086", "11350", "11227", "10504", "10398", "10789", "11210", "11689", "10597", "11818", "11682", "11006", ...
{ "recommended": [ "11169", "10407", "11246", "11404", "11244", "11056", "10352", "10400", "11403", "7220" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5006", "4529", "6827", "4408", "3385", "9695", "1538", "9378", "9689", "10628", "7378", "3515", "10985", "9872", "11473", "1735", "8153", "2113", "4011", "472", "9546", "8126", "1582", "4803", "5965"...
{ "recommended": [ "8043", "5006", "4529", "6827", "4408", "3385", "9695", "1538", "9378", "9689" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4127", "5666", "5418", "8712", "2541", "7220", "7318", "3964", "8921", "7364", "6475", "29", "5891", "5930", "5097", "3927", "2042", "2576", "9066", "9204", "8884", "3036", "6692", "356", "6884", ...
{ "recommended": [ "4707", "4127", "5666", "5418", "8712", "2541", "7220", "7318", "3964", "8921" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10775", "7988", "11549", "11061", "11363", "10999", "10004", "5118", "11506", "11218", "11023", "11238", "11468", "9280", "10152", "9686", "11699", "10768", "11482", "7577", "10468", "8997", "10535", "10...
{ "recommended": [ "11560", "10775", "7988", "11549", "11061", "11363", "10999", "10004", "5118", "11506" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8441", "8627", "9133", "6924", "7514", "10061", "10410", "11151", "9134", "10862", "8594", "9825", "10200", "9761", "9234", "8405", "5368", "9130", "8342", "9461", "10900", "10064", "9135", "5380", "...
{ "recommended": [ "8852", "8441", "8627", "9133", "6924", "7514", "10061", "10410", "11151", "9134" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9315", "9248", "6921", "10999", "8405", "10891", "10758", "7420", "9189", "11348", "11275", "5319", "9361", "9506", "11088", "9192", "9238", "7929", "3352", "8461", "6234", "8997", "10632", "8424", "...
{ "recommended": [ "9591", "9315", "9248", "6921", "10999", "8405", "10891", "10758", "7420", "9189" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11275", "9487", "8369", "9329", "11220", "10326", "8183", "9512", "10892", "11296", "9815", "10893", "11279", "11439", "8415", "11362", "10990", "11100", "10774", "11520", "10489", "11726", "10429", "115...
{ "recommended": [ "11295", "11275", "9487", "8369", "9329", "11220", "10326", "8183", "9512", "10892" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3742", "2182", "6381", "3922", "1899", "9231", "9388", "5878", "6747", "349", "6252", "8898", "4820", "7007", "8043", "10044", "5508", "5666", "8939", "6625", "4148", "5352", "6498", "3945", "8166", ...
{ "recommended": [ "6381", "3742", "2182", "3922", "1899", "9231", "9388", "5878", "6747", "349" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3019", "770", "4899", "3352", "10386", "5990", "971", "824", "2060", "2166", "3438", "731", "3306", "4715", "1136", "3437", "662", "1811", "3304", "4812", "3945", "4474", "1538", "729", "1860", "...
{ "recommended": [ "2600", "3019", "770", "4899", "3352", "10386", "5990", "971", "824", "2060" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6275", "10", "9084", "7746", "7979", "2251", "9976", "2168", "5831", "1641", "4567", "6513", "11405", "8722", "7319", "4826", "9796", "8437", "6059", "9462", "8442", "2176", "4644", "7804", "6570", ...
{ "recommended": [ "7215", "6275", "10", "9084", "7746", "7979", "2251", "9976", "2168", "5831" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10374", "11575", "11079", "11099", "10896", "10786", "9261", "10427", "10505", "11306", "10708", "11472", "10517", "10508", "10260", "11006", "11023", "11739", "10314", "11244", "10787", "10963", "11477", ...
{ "recommended": [ "10896", "10374", "11575", "11079", "11099", "10786", "9261", "10427", "10505", "11306" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11028", "11227", "11404", "11244", "6458", "10399", "11672", "11099", "11887", "10517", "10789", "10037", "11472", "11820", "11249", "11656", "10384", "11677", "10505", "10498", "10571", "10442", "11542", ...
{ "recommended": [ "11212", "11028", "11227", "11404", "11244", "6458", "10399", "11672", "11099", "11887" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11221", "1823", "9203", "5364", "3696", "5963", "9132", "1929", "2461", "4547", "6139", "2541", "6963", "9376", "3711", "4850", "9539", "3907", "9941", "5599", "4260", "5028", "11153", "3341", "6906"...
{ "recommended": [ "4276", "11221", "1823", "9203", "5364", "3696", "5963", "9132", "1929", "2461" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8036", "6221", "5299", "8126", "10900", "4938", "1265", "9229", "7721", "8129", "6218", "7687", "6068", "6055", "3385", "11220", "4729", "6827", "9534", "9193", "2994", "7395", "8932", "7249", "4838"...
{ "recommended": [ "8874", "8036", "6221", "5299", "8126", "10900", "4938", "1265", "9229", "7721" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6991", "4013", "7609", "159", "8854", "8350", "6993", "7622", "9822", "6576", "166", "9787", "11427", "11634", "7804", "7439", "6657", "7737", "7421", "4613", "9612", "3784", "6001", "7907", "7440", ...
{ "recommended": [ "8854", "6991", "4013", "7609", "159", "8350", "6993", "7622", "9822", "6576" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "184", "43", "3793", "5625", "6014", "2686", "2834", "6251", "3534", "9342", "6692", "8137", "6063", "363", "768", "8219", "5753", "2095", "7040", "5043", "10652", "6478", "5126", "1049", "6431", ...
{ "recommended": [ "10460", "184", "43", "3793", "5625", "6014", "2686", "2834", "6251", "3534" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "264", "1272", "10743", "482", "4561", "3664", "3178", "559", "3750", "2042", "181", "361", "1136", "2208", "2859", "473", "1488", "3347", "2213", "2155", "4179", "5145", "729", "2763", "9593", "5...
{ "recommended": [ "662", "264", "1272", "10743", "482", "4561", "3664", "3178", "559", "3750" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5967", "6179", "4948", "5421", "4963", "3968", "5418", "2947", "4547", "4066", "22", "5028", "2949", "2115", "10087", "7259", "6397", "2584", "6854", "5556", "7489", "6843", "8984", "4946", "3908", ...
{ "recommended": [ "1794", "5967", "6179", "4948", "5421", "4963", "3968", "5418", "2947", "4547" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10179", "10200", "8722", "11116", "6340", "11432", "8051", "10796", "11215", "10110", "10159", "9288", "10123", "11549", "11405", "10059", "10058", "11158", "8267", "7724", "11493", "11809", "11418", "92...
{ "recommended": [ "9288", "10179", "10200", "8722", "11116", "6340", "11432", "8051", "10796", "11215" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8426", "11618", "10997", "11615", "10873", "9471", "10433", "8183", "8422", "9469", "10885", "10904", "11621", "9509", "9589", "11746", "9512", "11367", "9494", "11520", "11720", "9493", "9511", "8779", ...
{ "recommended": [ "9528", "8426", "11618", "10997", "11615", "10873", "9471", "10433", "8183", "8422" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1742", "5118", "5967", "2546", "10507", "2656", "6662", "5117", "11405", "11664", "7188", "1224", "3804", "6307", "229", "134", "4065", "674", "1770", "2911", "3434", "304", "3092", "807", "256", ...
{ "recommended": [ "134", "1742", "5118", "5967", "2546", "10507", "2656", "6662", "5117", "11405" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4934", "7834", "11405", "3767", "9899", "6514", "5967", "10198", "9280", "10152", "5625", "7838", "11650", "11061", "6112", "8214", "8715", "8056", "7836", "10606", "10470", "10183", "8981", "11499", ...
{ "recommended": [ "8025", "4934", "7834", "11405", "3767", "9899", "6514", "5967", "10198", "9280" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "256", "3225", "1663", "1812", "2461", "11661", "11405", "841", "2277", "2112", "2186", "29", "3267", "10972", "8455", "700", "11522", "2399", "169", "10418", "498", "11142", "2442", "5423", "7304", ...
{ "recommended": [ "909", "256", "3225", "1663", "1812", "2461", "11661", "11405", "841", "2277" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7879", "10088", "6200", "3286", "5074", "6989", "8044", "7718", "9134", "10228", "4039", "3857", "9135", "7143", "8535", "7123", "9010", "1715", "9689", "8718", "9202", "9143", "6906", "2565", "6381"...
{ "recommended": [ "7789", "7879", "10088", "6200", "3286", "5074", "6989", "8044", "7718", "9134" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2431", "11238", "3815", "8106", "3990", "2135", "307", "9250", "7160", "2830", "3705", "6112", "3944", "11405", "9536", "6301", "4981", "7546", "2541", "2979", "6234", "4860", "6031", "1488", "10164"...
{ "recommended": [ "3573", "2431", "11238", "3815", "8106", "3990", "2135", "307", "9250", "7160" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9386", "7514", "1069", "8067", "2994", "4651", "4707", "6941", "6714", "782", "5921", "3797", "6566", "6381", "6668", "9133", "6223", "8698", "6139", "6392", "4834", "7778", "4219", "9689", "1585", ...
{ "recommended": [ "2285", "9386", "7514", "1069", "8067", "2994", "4651", "4707", "6941", "6714" ] }
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