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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": [ "8158", "2884", "4103", "3129", "6215", "8095", "2176", "1488", "4072", "4408", "10087", "5451", "1919", "9135", "4260", "5141", "6911", "7038", "2460", "6104", "6906", "6782", "10526", "1265", "7006"...
{ "recommended": [ "9132", "5972", "2176", "11405", "3129", "2884", "8158", "7038", "7492", "5232" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11000", "10879", "11005", "11552", "10916", "11367", "9527", "8411", "10302", "11615", "11611", "8423", "10891", "10731", "9509", "11373", "10997", "10892", "10914", "10776", "11296", "10574", "9303", "1...
{ "recommended": [ "10916", "10894", "9503", "7824", "9594", "11623", "10888", "10873", "9487", "10998" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2400", "3142", "278", "4220", "146", "229", "3613", "8975", "7357", "3889", "8947", "7942", "5170", "5930", "9535", "3476", "4744", "4567", "9606", "10249", "3986", "2461", "25", "6268", "5752", ...
{ "recommended": [ "8921", "2310", "3320", "3397", "7357", "9535", "5666", "6098", "3161", "5421" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4623", "10748", "9320", "9025", "9533", "8050", "10054", "10156", "10186", "5986", "11362", "9405", "10166", "10758", "11493", "11403", "11123", "11411", "5625", "11432", "8715", "8388", "10179", "8049",...
{ "recommended": [ "306", "7416", "10156", "8049", "8629", "6765", "8997", "6014", "10758", "10412" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8234", "8945", "6934", "7032", "4059", "11638", "7316", "9786", "11220", "8340", "6850", "6212", "8451", "8433", "11172", "9822", "7958", "6464", "3613", "7934", "6426", "5992", "7948", "8452", "1127...
{ "recommended": [ "10968", "9369", "11279", "6464", "8433", "6273", "6453", "6850", "7308", "6933" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10560", "5148", "2182", "9929", "2525", "3302", "4471", "8153", "336", "5760", "3469", "1585", "8730", "4314", "653", "9871", "6701", "5188", "8512", "4920", "3698", "943", "8516", "6447", "10115", ...
{ "recommended": [ "7172", "10713", "9994", "2894", "1171", "4390", "9885", "2182", "3302", "3044" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7449", "200", "29", "3141", "7136", "4072", "6471", "2182", "6223", "6007", "3699", "8718", "4529", "1101", "11213", "2541", "1126", "2296", "9644", "3303", "4860", "1100", "5895", "7310", "2891", ...
{ "recommended": [ "3360", "2213", "6090", "10372", "1930", "10378", "4705", "4860", "11133", "6475" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1805", "4509", "5273", "2297", "4563", "1866", "2907", "2434", "11142", "1735", "2853", "1792", "1171", "6221", "2159", "3642", "7395", "46", "4407", "4576", "6381", "6618", "1008", "212", "2836", ...
{ "recommended": [ "10734", "10713", "4083", "4978", "5166", "2532", "389", "1930", "1866", "4260" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8528", "9730", "599", "6060", "2207", "4794", "9560", "137", "9976", "7647", "7631", "8021", "9342", "10830", "6136", "8718", "9658", "7781", "7301", "8457", "3773", "9133", "4325", "8193", "8669", ...
{ "recommended": [ "9658", "9643", "6275", "7650", "2728", "6136", "9560", "8458", "9133", "4046" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11708", "11051", "11613", "10894", "8696", "11699", "10998", "391", "11552", "10836", "9487", "11373", "8416", "9074", "10905", "10574", "11362", "11726", "9502", "10914", "11363", "11468", "11456", "117...
{ "recommended": [ "391", "11342", "10836", "9072", "11577", "9512", "10905", "11629", "10892", "11468" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8898", "9231", "4529", "3861", "4561", "8921", "1252", "5451", "1899", "5671", "3945", "5354", "643", "3341", "4763", "3742", "2182", "6918", "2417", "7395", "2483", "3129", "3979", "3392", "2994", ...
{ "recommended": [ "7006", "6918", "6906", "1084", "5671", "6076", "5901", "1899", "5166", "10312" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5878", "6572", "7499", "3946", "11238", "8895", "7837", "4934", "8926", "8512", "8791", "8038", "10796", "10417", "10229", "10148", "7249", "10516", "11150", "6252", "9992", "10324", "11215", "9071", ...
{ "recommended": [ "11422", "10325", "7485", "8511", "8795", "9978", "10148", "9992", "10758", "9131" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5965", "5451", "3352", "2360", "4260", "10628", "3862", "7018", "4154", "9379", "2483", "11158", "9193", "3652", "7163", "8896", "1194", "4458", "8698", "4868", "3742", "1585", "7005", "8126", "7645"...
{ "recommended": [ "4458", "7381", "1084", "5965", "656", "3945", "3032", "1655", "7379", "8166" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4238", "229", "1490", "1997", "146", "3363", "8839", "11395", "4777", "45", "5118", "4623", "4590", "10293", "9339", "5581", "1510", "10078", "47", "4809", "8019", "6117", "5213", "2183", "5440", ...
{ "recommended": [ "11730", "25", "5625", "1259", "9989", "1219", "5581", "5118", "7594", "3689" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2576", "3964", "2049", "662", "4741", "2172", "6357", "6108", "1583", "7308", "158", "6632", "4841", "3968", "4707", "6139", "2994", "4127", "5653", "1360", "725", "2530", "3151", "4924", "6170", ...
{ "recommended": [ "6632", "782", "5440", "2994", "3151", "2049", "5666", "725", "3890", "4284" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9401", "10239", "9254", "9909", "4136", "11266", "10394", "8313", "7195", "6633", "8956", "11565", "9171", "6632", "3942", "10101", "9459", "10390", "8314", "9402", "5801", "8259", "8302", "11188", "...
{ "recommended": [ "6719", "8259", "6564", "11024", "10523", "11266", "8232", "8205", "8307", "8314" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8940", "16", "8872", "9285", "8773", "7746", "6307", "8462", "8467", "4610", "7242", "7748", "5625", "8975", "9389", "10031", "6204", "9583", "9396", "9106", "6997", "8468", "8218", "9365", "6973", ...
{ "recommended": [ "2913", "8013", "3898", "5625", "8218", "9286", "6204", "8484", "7988", "6574" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11221", "10399", "9665", "10862", "10398", "10585", "8628", "9462", "11273", "11001", "11169", "11056", "10508", "11404", "8719", "11125", "10264", "10401", "11028", "9010", "9666", "10178", "10884", "74...
{ "recommended": [ "3693", "8718", "11404", "11209", "10314", "11095", "9010", "7220", "11180", "10515" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5772", "9386", "4532", "8329", "5670", "2615", "8056", "1215", "6021", "3742", "7717", "9166", "6503", "10578", "3049", "7976", "7208", "11238", "10033", "11426", "10712", "7514", "10632", "6517", "9...
{ "recommended": [ "8321", "6402", "5670", "10379", "4933", "2296", "9462", "11426", "3119", "7530" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2658", "10228", "3922", "1375", "5090", "3246", "4574", "5508", "6197", "2608", "6019", "7000", "7794", "8437", "8605", "6232", "5719", "6381", "727", "512", "1827", "6529", "2576", "5352", "7442", ...
{ "recommended": [ "5442", "5719", "895", "701", "11637", "5021", "8930", "2436", "8605", "4574" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2994", "5278", "4974", "532", "9462", "1801", "720", "2576", "4648", "3862", "6223", "643", "3489", "472", "214", "137", "473", "3926", "8166", "3347", "3572", "582", "2352", "2378", "4561", "516...
{ "recommended": [ "5415", "2918", "356", "1280", "2891", "2166", "1265", "2378", "620", "5166" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8331", "8340", "9961", "7518", "9682", "8439", "7318", "9177", "9197", "8627", "9079", "8753", "9714", "9559", "7514", "7516", "8930", "8777", "7385", "7165", "4829", "9282", "5522", "9571", "8403", ...
{ "recommended": [ "9086", "9061", "9333", "9557", "7979", "95", "10071", "9062", "8106", "9584" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4650", "729", "1370", "9569", "4304", "3742", "4397", "6801", "6267", "3392", "6296", "7671", "6060", "4089", "3945", "1438", "3178", "4729", "1215", "6262", "7316", "356", "9135", "6949", "7721", ...
{ "recommended": [ "10984", "6427", "7476", "10880", "7237", "11142", "3945", "7941", "8586", "5272" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7645", "3862", "5859", "3348", "903", "3945", "7301", "11405", "2166", "1300", "2483", "1151", "5249", "1664", "3320", "729", "3155", "2532", "1852", "2569", "3347", "8166", "2380", "3196", "6987", ...
{ "recommended": [ "6010", "1805", "1735", "2033", "8166", "2661", "1265", "3763", "2296", "3320" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11081", "11065", "11228", "11221", "10889", "9100", "11227", "10699", "11056", "10376", "11306", "10982", "11099", "3308", "10378", "10337", "9920", "10399", "9462", "10715", "10260", "7394", "11066", "1...
{ "recommended": [ "9920", "8529", "10405", "11054", "10384", "10387", "10379", "10984", "10722", "10376" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3515", "5732", "9882", "8443", "7089", "7020", "7298", "8900", "8131", "4320", "9536", "9976", "9730", "3352", "6641", "8935", "2461", "8897", "7007", "10900", "7746", "11405", "7225", "8939", "8166"...
{ "recommended": [ "4949", "7020", "7383", "8862", "6060", "7395", "8897", "8754", "9462", "9236" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2815", "4275", "4877", "5120", "3742", "782", "6031", "1899", "3303", "1294", "5942", "1104", "1488", "3705", "3347", "3461", "8166", "2525", "1538", "2374", "5486", "8042", "3610", "1812", "4039", ...
{ "recommended": [ "7979", "4766", "3890", "3423", "6689", "4877", "662", "727", "1136", "6031" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7513", "7712", "9122", "8621", "5930", "11843", "8217", "10056", "11394", "10796", "10468", "11798", "8050", "8445", "7631", "342", "9021", "5198", "8331", "6787", "5711", "4716", "10947", "6344", "8...
{ "recommended": [ "3166", "9249", "7754", "10408", "6010", "5711", "3640", "3927", "9021", "11394" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9010", "8458", "8517", "8895", "11429", "11318", "10985", "7738", "7220", "10652", "7", "9628", "3245", "3352", "10168", "6159", "3229", "9283", "10522", "8106", "10372", "7073", "5831", "5146", "107...
{ "recommended": [ "990", "4537", "9283", "5282", "5146", "2930", "6536", "9593", "10326", "6572" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1439", "984", "1463", "2797", "1053", "3062", "1691", "530", "1405", "270", "1445", "343", "536", "795", "761", "989", "2538", "208", "668", "419", "800", "1114", "1817", "815", "783", "1835", ...
{ "recommended": [ "998", "343", "1212", "787", "1691", "862", "3257", "790", "1207", "180" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7441", "74", "82", "10046", "4585", "152", "32", "9989", "10090", "7339", "4077", "7752", "9722", "3265", "3874", "8657", "4869", "3654", "1448", "4345", "7489", "6167", "6416", "1662", "3747", "...
{ "recommended": [ "6146", "7930", "3889", "10128", "4869", "6505", "3654", "10440", "6315", "150" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2769", "905", "664", "5351", "2042", "2155", "1982", "962", "3652", "703", "2580", "2847", "1606", "1136", "5860", "3352", "184", "6988", "363", "404", "4255", "2224", "1867", "1197", "779", "119...
{ "recommended": [ "5312", "405", "480", "905", "703", "196", "281", "1782", "4561", "962" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2088", "860", "7162", "10830", "3927", "2483", "8229", "2541", "8135", "7143", "6286", "2790", "3303", "8901", "7234", "1", "2920", "9593", "5451", "7237", "1150", "6010", "2895", "1278", "7401", ...
{ "recommended": [ "8922", "8034", "8135", "6575", "6139", "7143", "2920", "770", "3303", "2576" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11543", "11273", "11506", "11831", "11530", "11534", "11527", "10708", "11670", "10718", "10570", "11671", "11759", "11867", "11887", "11672", "10497", "11542", "11654", "10352", "11546", "11575", "10959", ...
{ "recommended": [ "7989", "11513", "10570", "11641", "11698", "11703", "11508", "10352", "11477", "10403" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10446", "10860", "6767", "9378", "10405", "10808", "10105", "9920", "10889", "11343", "10848", "9238", "2213", "9644", "9669", "10846", "10517", "11824", "10380", "10985", "11180", "10080", "10693", "109...
{ "recommended": [ "11824", "10446", "10851", "2327", "2884", "10405", "11081", "10632", "6767", "10963" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11677", "10507", "11393", "8231", "11542", "11534", "10248", "11508", "10584", "11505", "11739", "6548", "11134", "8366", "10688", "10508", "10672", "10670", "8566", "6845", "2068", "8718", "7374", "4314...
{ "recommended": [ "11888", "6565", "3642", "11068", "5092", "10248", "11180", "7192", "10498", "11703" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "568", "1763", "2641", "1919", "2065", "652", "727", "5451", "286", "8817", "290", "6262", "841", "5260", "2380", "1703", "3352", "3307", "2611", "3312", "5714", "2296", "1313", "4039", "181", "31...
{ "recommended": [ "3273", "2030", "3113", "2611", "1136", "3347", "8817", "7414", "1932", "5173" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10175", "11061", "6807", "9707", "5969", "4707", "10031", "9976", "807", "9671", "4623", "11180", "9165", "8484", "3586", "9285", "7882", "7339", "4345", "8768", "10032", "8501", "11191", "3889", "98...
{ "recommended": [ "7249", "9106", "11061", "9516", "9149", "6307", "9286", "9349", "9976", "8776" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8854", "7724", "10650", "9434", "9822", "6097", "6083", "11286", "10448", "9612", "7351", "6024", "159", "9173", "7403", "7634", "6085", "6991", "6937", "9104", "6578", "6439", "7618", "6879", "11636...
{ "recommended": [ "11424", "10634", "11425", "6834", "3702", "6083", "9779", "7609", "7862", "7618" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10985", "11255", "11610", "10159", "11363", "11624", "10758", "10436", "11499", "11157", "9010", "9280", "11387", "10862", "9533", "6159", "11002", "10690", "11449", "9717", "10228", "10410", "9821", "10...
{ "recommended": [ "10538", "10186", "11645", "10170", "11247", "8037", "10217", "9821", "10088", "10896" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10071", "10697", "10501", "11472", "4154", "11064", "10847", "10982", "11210", "4776", "10379", "10985", "11228", "10405", "10316", "10475", "10654", "10712", "6618", "10864", "11238", "1525", "2846", "3...
{ "recommended": [ "3982", "10984", "9823", "11081", "10715", "11026", "10232", "9236", "3570", "10399" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4005", "7592", "3402", "1223", "782", "10231", "8054", "8072", "9202", "4786", "6256", "8988", "8050", "8623", "10055", "5041", "342", "5449", "10109", "8074", "8232", "4945", "5436", "7708", "10179"...
{ "recommended": [ "4946", "7592", "1360", "3668", "8050", "9084", "8839", "9202", "9568", "8074" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10775", "1608", "8830", "11580", "10545", "10098", "9148", "9150", "10288", "11010", "10094", "10096", "11307", "10771", "11342", "10478", "11188", "10296", "10729", "10547", "10482", "9600", "5567", "10...
{ "recommended": [ "11070", "10098", "9366", "11307", "10692", "10288", "10298", "8294", "3901", "10806" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3307", "480", "3024", "3840", "2770", "732", "2213", "4668", "3178", "2035", "2541", "2968", "356", "3426", "4389", "6587", "4813", "3763", "6992", "2264", "1529", "1375", "482", "2845", "1420", ...
{ "recommended": [ "1423", "174", "2126", "2124", "1171", "3347", "2136", "2612", "926", "4476" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2584", "8384", "4504", "3352", "6551", "5345", "4220", "8882", "2025", "821", "9081", "6888", "4707", "1713", "3400", "8461", "7488", "3589", "9415", "8006", "6941", "9920", "9153", "6139", "5967", ...
{ "recommended": [ "5811", "4504", "5345", "4535", "5790", "11405", "9920", "7546", "5791", "5423" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7012", "9232", "7020", "9461", "7513", "8874", "7349", "10421", "7330", "7695", "3148", "7073", "7157", "7003", "7298", "7690", "7246", "7278", "9062", "7748", "4260", "6854", "4744", "5505", "7293",...
{ "recommended": [ "7746", "6804", "7748", "7108", "5831", "3855", "8920", "7695", "7088", "7012" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10517", "10787", "11588", "10727", "10508", "11671", "11590", "7989", "10958", "5652", "11667", "9728", "11575", "11212", "11594", "10785", "8799", "11655", "11184", "9922", "11686", "10834", "11517", "1...
{ "recommended": [ "10589", "10690", "10401", "11541", "11703", "11404", "10787", "11668", "11575", "11534" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "962", "5435", "9462", "6152", "3681", "6981", "4978", "4043", "6299", "6259", "7689", "7600", "7243", "6530", "5557", "5312", "470", "9124", "7089", "7265", "6155", "6838", "3140", "7690", "5237", ...
{ "recommended": [ "6114", "5831", "5939", "898", "7252", "3681", "3908", "7088", "6949", "400" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7778", "1213", "1049", "2042", "1429", "1812", "6207", "8584", "283", "262", "2162", "4497", "5534", "3288", "2221", "28", "2857", "2044", "5146", "8594", "384", "6142", "1214", "2182", "8290", "...
{ "recommended": [ "10747", "2366", "5655", "1663", "6059", "3968", "1936", "1213", "1812", "1326" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "654", "7811", "7487", "1338", "5834", "11319", "3044", "1330", "5160", "1264", "8154", "6703", "706", "11432", "332", "1230", "2359", "2933", "1775", "6363", "10332", "10522", "3084", "336", "7890", ...
{ "recommended": [ "11664", "6703", "6363", "9689", "2894", "8019", "2933", "1774", "1338", "508" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10796", "8160", "11121", "8159", "9792", "8158", "8080", "10156", "10148", "7863", "7864", "10450", "10087", "8044", "8070", "10150", "5930", "9119", "10160", "11340", "8161", "10947", "11118", "7079", ...
{ "recommended": [ "9002", "7864", "9021", "10160", "7079", "9407", "11213", "11118", "11121", "11215" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2607", "3347", "7107", "4478", "2569", "3377", "8512", "8145", "2461", "5260", "5102", "4499", "6450", "962", "2853", "2067", "7684", "9230", "2435", "290", "4408", "6776", "2460", "1982", "2417", ...
{ "recommended": [ "2435", "7107", "5364", "2067", "2182", "313", "1300", "6776", "561", "9230" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4774", "853", "11405", "782", "2011", "1440", "1765", "5505", "2042", "6271", "2576", "200", "1205", "1970", "8182", "11606", "903", "3668", "181", "1590", "2351", "2817", "4721", "2611", "5155", ...
{ "recommended": [ "1904", "2732", "9407", "1360", "4744", "3476", "1488", "2271", "3968", "782" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8862", "9979", "8500", "8950", "8792", "1164", "10337", "9425", "9976", "9279", "9047", "8820", "8490", "10376", "9158", "6191", "10930", "8496", "8602", "9583", "10606", "9163", "8992", "6649", "797...
{ "recommended": [ "9188", "9166", "8492", "9418", "9621", "10032", "7882", "8940", "9286", "9362" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9388", "3286", "8862", "7189", "7979", "8911", "10725", "8927", "7235", "8605", "9543", "10984", "9282", "8939", "8907", "6859", "8730", "10071", "8711", "7183", "8900", "5579", "5859", "9333", "9461...
{ "recommended": [ "10982", "8444", "3945", "9557", "9391", "9392", "8711", "9232", "9184", "9238" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4973", "8950", "1655", "9703", "7143", "7789", "6851", "8898", "3286", "8106", "7687", "9231", "1061", "9726", "9232", "8446", "7670", "4228", "8911", "10984", "7436", "5213", "7175", "8921", "9637",...
{ "recommended": [ "7175", "7108", "6000", "8862", "8446", "8753", "7215", "10632", "7436", "7123" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9462", "9363", "9828", "9204", "9743", "11238", "11056", "10900", "7929", "10896", "95", "9323", "9166", "9485", "9235", "11221", "8106", "11087", "9975", "9514", "9487", "9153", "10874", "8786", "10...
{ "recommended": [ "3194", "9317", "8459", "10781", "8366", "11411", "8193", "10969", "7793", "10895" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7832", "176", "700", "4425", "342", "2526", "5929", "273", "375", "363", "349", "2671", "1782", "668", "134", "2183", "2095", "1413", "3483", "280", "2676", "2576", "1217", "252", "1223", "1929",...
{ "recommended": [ "349", "375", "2576", "158", "508", "6289", "2327", "1387", "176", "273" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7662", "11808", "9743", "9262", "6124", "6179", "7415", "5645", "4546", "8348", "6740", "11051", "6060", "10412", "9229", "7969", "5626", "11606", "11484", "10409", "9618", "9717", "5063", "6692", "5...
{ "recommended": [ "10878", "8348", "9342", "4746", "10168", "2096", "5791", "9422", "11627", "8347" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3742", "2241", "243", "831", "801", "644", "2392", "840", "534", "2466", "2905", "281", "391", "1886", "1925", "376", "4247", "759", "660", "1899", "2704", "769", "554", "436", "923", "2621", ...
{ "recommended": [ "1115", "2620", "1886", "403", "782", "239", "801", "904", "1344", "2797" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5212", "11405", "36", "7721", "10178", "10401", "5625", "6139", "137", "8166", "8583", "5834", "8718", "9281", "4425", "3749", "3299", "11411", "10399", "7305", "7310", "2116", "5440", "11327", "2042...
{ "recommended": [ "4515", "1616", "7249", "8719", "7717", "5813", "6551", "11429", "7546", "5625" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8437", "7864", "1223", "9536", "7972", "9492", "2908", "7559", "7334", "5592", "6188", "8783", "5626", "3445", "6641", "9061", "4854", "8943", "2182", "8106", "6914", "6872", "6290", "9754", "8544", ...
{ "recommended": [ "6766", "6760", "6340", "8070", "8944", "7527", "6496", "4912", "8437", "7025" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10672", "11078", "11673", "11677", "11905", "11505", "11541", "11762", "7989", "11608", "11668", "11669", "11354", "11587", "9696", "11686", "11915", "11675", "11527", "9922", "11818", "11641", "11640", ...
{ "recommended": [ "11915", "11390", "11905", "11587", "11820", "11672", "11641", "11682", "7989", "11818" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "729", "4973", "1919", "6992", "3437", "1488", "3945", "3444", "753", "3696", "7109", "3438", "1867", "5831", "2817", "7006", "2461", "1959", "2506", "2460", "1252", "974", "1265", "3838", "1812", ...
{ "recommended": [ "7102", "1829", "4056", "974", "7969", "3116", "8921", "1644", "4103", "9235" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5584", "416", "7020", "3224", "5625", "964", "3562", "7082", "8202", "6059", "7254", "3908", "7513", "8945", "5831", "200", "5369", "7841", "4272", "3499", "8954", "782", "5514", "5918", "7762", ...
{ "recommended": [ "5576", "1776", "6453", "6902", "6415", "7126", "5831", "5861", "1521", "3908" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3320", "5491", "6769", "8897", "2805", "9689", "993", "3669", "692", "6447", "3945", "6030", "2159", "8534", "7179", "1828", "1177", "4471", "8566", "5569", "7237", "6138", "4546", "10386", "9941", ...
{ "recommended": [ "10671", "3541", "6906", "4012", "3862", "1735", "7122", "6076", "6393", "6138" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10771", "10246", "10302", "10730", "11334", "9602", "10247", "11755", "11034", "10770", "9172", "10240", "8309", "8304", "10732", "11015", "11014", "10394", "11565", "10245", "9436", "8303", "10391", "99...
{ "recommended": [ "11261", "9399", "8303", "10770", "10245", "11243", "10391", "9401", "9346", "11008" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8131", "11002", "4776", "7179", "9682", "11778", "9135", "469", "11133", "8042", "11215", "8921", "11132", "9695", "6121", "7667", "6221", "4407", "7378", "11142", "9872", "1792", "6827", "2994", "11...
{ "recommended": [ "1792", "9695", "9462", "6906", "9011", "9730", "9872", "7379", "9539", "7530" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10579", "11532", "11008", "11889", "11459", "9747", "11686", "11736", "5945", "11011", "11034", "11649", "9736", "11475", "10455", "10143", "8801", "10297", "11017", "11016", "10775", "10238", "10301", "...
{ "recommended": [ "11890", "11756", "8663", "10773", "11016", "10579", "10301", "9751", "11259", "11785" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3651", "11629", "10269", "11500", "10522", "11842", "8380", "11606", "10152", "10088", "10076", "11499", "10608", "11645", "11305", "9717", "7160", "10085", "11258", "10029", "11272", "10925", "10796", "...
{ "recommended": [ "11305", "10608", "10528", "7191", "10809", "11844", "11324", "10796", "8645", "7328" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9508", "6381", "8932", "6551", "7387", "8893", "6221", "8396", "8037", "10900", "10866", "6872", "8862", "9153", "9010", "6532", "9644", "6373", "8126", "10985", "10679", "8886", "10372", "7006", "92...
{ "recommended": [ "8894", "8893", "7514", "9153", "8843", "6906", "9135", "4729", "7387", "3696" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11778", "11694", "10658", "10052", "10080", "10766", "10862", "7538", "10372", "8295", "10614", "11292", "11432", "9481", "7080", "11362", "9845", "11363", "10409", "7928", "7631", "10070", "10744", "111...
{ "recommended": [ "10070", "11485", "11294", "7631", "8669", "11373", "11341", "10763", "10939", "10237" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10999", "11689", "11275", "11472", "10511", "11703", "9462", "7249", "11273", "11588", "11641", "9131", "11060", "11669", "7514", "10374", "11137", "11508", "11818", "11136", "11151", "2068", "11548", "1...
{ "recommended": [ "11306", "11028", "11153", "10672", "11169", "11185", "5383", "8524", "11640", "9569" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2338", "7410", "8150", "1629", "5226", "639", "1997", "8833", "7436", "9189", "3980", "962", "7398", "4184", "8725", "10991", "9533", "5440", "8443", "1984", "8153", "29", "8521", "3856", "10107", ...
{ "recommended": [ "7870", "1629", "9262", "9378", "2440", "9189", "7721", "6567", "4974", "405" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11057", "11209", "10504", "11218", "10718", "6458", "11221", "11831", "11184", "11477", "10958", "11725", "11280", "11641", "9696", "10834", "10789", "5652", "11689", "11246", "10384", "11575", "10403", ...
{ "recommended": [ "11275", "11169", "10504", "5652", "11689", "11575", "10484", "11641", "11349", "10485" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3913", "8896", "3119", "11473", "8710", "3385", "8730", "5965", "8894", "8661", "4776", "8670", "9695", "8043", "9010", "4803", "876", "3347", "6221", "6827", "8939", "8036", "5354", "6750", "5151", ...
{ "recommended": [ "6750", "8043", "8778", "5151", "10628", "8533", "6076", "3385", "8150", "8754" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8997", "2891", "6692", "662", "3927", "700", "3782", "5930", "4877", "3711", "6139", "8355", "8928", "3964", "2172", "5063", "9174", "7123", "3036", "4769", "4159", "9201", "5260", "7513", "8159", ...
{ "recommended": [ "6068", "4707", "7364", "9002", "5666", "5260", "5961", "1360", "8997", "8718" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10768", "4832", "11708", "10900", "9303", "153", "11432", "11244", "11238", "11023", "10776", "11192", "10999", "10436", "10963", "11554", "11088", "10468", "11804", "11403", "11703", "8696", "11362", "1...
{ "recommended": [ "8546", "11560", "11373", "11629", "11664", "11244", "10774", "4832", "11395", "11542" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8405", "9128", "6924", "6245", "4272", "9442", "6475", "10025", "5384", "6925", "7655", "10632", "9131", "10210", "10900", "7870", "6767", "8407", "10410", "10862", "6397", "9443", "10725", "10027", ...
{ "recommended": [ "9333", "8852", "9131", "5377", "10027", "10725", "9128", "8960", "10999", "11387" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9189", "10984", "9503", "8435", "10376", "6921", "10380", "11479", "9238", "10891", "9488", "10712", "11215", "9315", "5319", "9825", "10874", "11348", "10446", "9648", "9202", "8368", "8424", "8223", ...
{ "recommended": [ "9705", "9591", "11275", "9231", "10758", "11348", "9209", "11088", "9491", "10380" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11386", "10894", "8425", "5028", "11405", "10837", "11404", "9072", "10885", "9512", "11275", "9503", "11629", "11314", "9509", "10836", "11291", "11302", "10839", "10893", "11279", "11140", "9492", "973...
{ "recommended": [ "11857", "11295", "10998", "10893", "11439", "10894", "11362", "10489", "10762", "11404" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "876", "5938", "4820", "4407", "7123", "2994", "9231", "4627", "7380", "6252", "7228", "4729", "2266", "8166", "7006", "7005", "4260", "7383", "6625", "3347", "6907", "3922", "2525", "7235", "9872", ...
{ "recommended": [ "6687", "6381", "391", "6046", "4729", "4820", "7380", "7384", "4043", "3742" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9462", "2156", "2288", "971", "1585", "4812", "3143", "3178", "200", "4838", "900", "1300", "7123", "4403", "2166", "962", "771", "1538", "3945", "731", "1811", "662", "5459", "4876", "4057", "18...
{ "recommended": [ "4876", "2600", "2296", "2129", "3763", "4167", "3437", "962", "2370", "4403" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2884", "9462", "11432", "7537", "6882", "6714", "10228", "8833", "7308", "9208", "8722", "9378", "4546", "7927", "7215", "8444", "6041", "5233", "5440", "9059", "8354", "7979", "6466", "10", "5766", ...
{ "recommended": [ "10228", "7215", "10991", "7804", "3352", "2176", "7778", "6801", "5440", "9019" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10505", "10352", "10374", "11238", "11477", "2795", "11086", "9696", "10963", "10427", "11053", "11208", "11054", "10896", "11669", "10502", "10912", "10508", "11340", "11273", "11057", "11234", "11210", ...
{ "recommended": [ "10718", "10896", "11246", "11588", "10496", "11060", "6458", "10834", "10663", "10517" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11472", "11209", "10352", "11292", "10893", "11668", "11820", "10789", "11054", "2795", "11245", "11818", "11244", "11273", "11249", "10505", "11086", "10497", "10407", "11099", "11641", "10405", "10699", ...
{ "recommended": [ "11213", "11212", "11246", "11054", "11641", "11086", "11703", "10685", "10813", "11673" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2541", "11151", "3711", "1823", "5963", "9134", "5643", "4053", "3589", "8827", "4450", "4547", "6552", "10654", "9539", "2941", "3437", "6139", "3945", "8834", "3907", "3737", "6800", "1929", "9442"...
{ "recommended": [ "7719", "4276", "5564", "4846", "2941", "5105", "4850", "9135", "4053", "6963" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4729", "9143", "3862", "2460", "8723", "8129", "11220", "5930", "5332", "8095", "9539", "11221", "6393", "11405", "8862", "1117", "4408", "1265", "10900", "6068", "10117", "9378", "2461", "9413", "80...
{ "recommended": [ "10591", "8874", "10337", "8723", "11499", "3589", "7249", "7006", "6221", "656" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7421", "7403", "8142", "10650", "10048", "9519", "9221", "7795", "8268", "11203", "6937", "7609", "6024", "6002", "7688", "7999", "8387", "3784", "8476", "6443", "7618", "8267", "6863", "11426", "104...
{ "recommended": [ "11423", "8854", "9554", "6991", "9595", "9297", "165", "11634", "11425", "8387" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2686", "578", "370", "7040", "5212", "8072", "5505", "6521", "4823", "2095", "5418", "43", "230", "444", "6251", "137", "3793", "4974", "5625", "6014", "11411", "184", "6007", "5942", "6884", "32...
{ "recommended": [ "11629", "10460", "5572", "6179", "5418", "6616", "5212", "4707", "137", "363" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3968", "9462", "2859", "1488", "184", "9593", "2994", "2974", "4705", "2409", "662", "1272", "5584", "2970", "2436", "7308", "1249", "361", "25", "3347", "3382", "181", "5855", "2546", "5625", "3...
{ "recommended": [ "2409", "662", "701", "597", "5666", "1104", "1488", "3423", "1801", "2891" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3867", "4066", "200", "2584", "5418", "5423", "6602", "559", "2460", "7420", "1683", "2096", "5645", "7008", "6843", "3703", "4946", "10087", "2763", "5674", "8026", "7259", "2518", "5752", "5749", ...
{ "recommended": [ "6080", "1794", "8984", "9869", "4066", "2039", "3180", "5421", "6014", "9323" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8126", "11493", "10088", "9289", "11554", "5436", "11570", "11215", "8366", "10159", "10369", "7724", "9395", "10947", "8821", "8331", "9135", "11403", "4897", "3465", "6345", "10951", "9717", "4749", ...
{ "recommended": [ "10054", "9288", "4671", "11468", "11121", "8366", "8066", "9533", "11158", "7440" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10133", "11615", "9514", "10873", "11621", "11746", "8412", "9488", "9487", "10433", "11616", "8328", "10891", "11618", "9810", "9495", "9501", "9528", "11100", "10890", "9511", "8423", "8761", "9500", ...
{ "recommended": [ "9599", "9528", "10871", "9491", "8412", "11520", "10134", "10891", "11611", "9514" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11405", "257", "7774", "9288", "994", "3889", "9120", "1287", "621", "590", "6543", "938", "4196", "622", "5118", "4623", "4692", "7188", "5117", "3093", "10264", "6307", "10055", "5466", "410", ...
{ "recommended": [ "11725", "134", "137", "1615", "846", "181", "621", "247", "3790", "2580" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9660", "11165", "8715", "9937", "11418", "11664", "8050", "10210", "6740", "11061", "9899", "11554", "11650", "9533", "8159", "10195", "10170", "11629", "7926", "4454", "10198", "4436", "10196", "8054", ...
{ "recommended": [ "4933", "8025", "7926", "11554", "8982", "6112", "11165", "10220", "11629", "8329" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11522", "2702", "5967", "5566", "3476", "11499", "1319", "11606", "5599", "11272", "5121", "7100", "11403", "2042", "2277", "3385", "2460", "11808", "5400", "2576", "3735", "8694", "290", "8723", "67...
{ "recommended": [ "7100", "909", "2042", "5967", "3385", "6397", "2013", "11629", "4774", "5599" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7152", "11596", "6381", "10757", "10984", "1139", "9143", "7718", "6906", "10311", "5074", "3845", "7870", "3665", "5092", "8730", "9644", "6989", "8968", "4000", "7436", "9010", "10178", "6200", "91...
{ "recommended": [ "10560", "7789", "7708", "9919", "1715", "7143", "10172", "10860", "7977", "9668" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "360", "7282", "3742", "1223", "4974", "4777", "2830", "4561", "6692", "25", "11555", "4812", "9507", "900", "4860", "5616", "8934", "3944", "8701", "9135", "307", "8843", "7546", "10168", "11387", ...
{ "recommended": [ "9507", "3573", "2830", "4671", "4046", "2525", "8843", "3352", "5319", "1655" ] }
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6223", "662", "9133", "6381", "8698", "7592", "7005", "8998", "5213", "9385", "8158", "6791", "7639", "5579", "6200", "3347", "9689", "8157", "7108", "5921", "10479", "2814", "2576", "4592", "9593", ...
{ "recommended": [ "4586", "2285", "6714", "920", "1061", "1703", "4072", "7005", "5278", "7384" ] }
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