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Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1581", "11428", "2421", "9024", "4956", "11228", "5387", "1562", "11753", "8720", "10163", "11", "663", "10494", "10490", "10787", "2360", "11972", "10081", "11455", "647", "4185", "9073", "3104", "1...
{ "recommended": [ "11864", "11753", "10490", "5387", "8720", "647", "10787", "11972", "11228", "1562" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7944", "11972", "11705", "8978", "10956", "11677", "5665", "11222", "59", "11305", "12039", "4304", "10912", "11961", "2420", "11955", "10839", "2987", "11939", "2434", "3280", "11976", "11662", "11528",...
{ "recommended": [ "59", "10956", "2987", "11951", "11677", "10094", "11450", "2420", "7114", "10912" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6253", "9615", "6244", "8245", "7625", "7627", "11074", "8508", "6450", "11072", "6462", "7322", "9405", "6252", "10503", "10067", "9071", "9613", "6249", "8432", "8774", "8922", "7615", "6463", "940...
{ "recommended": [ "10254", "9405", "9982", "7322", "8774", "8657", "8922", "9406", "6253", "6250" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10000", "9369", "9343", "10321", "9850", "9847", "9767", "9291", "9853", "8507", "9836", "9110", "10163", "9640", "8968", "10100", "10929", "9849", "8124", "10132", "9188", "10008", "9835", "10618", ...
{ "recommended": [ "10321", "9767", "10632", "10100", "9850", "10152", "8899", "10004", "10618", "10106" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11249", "5666", "9366", "8969", "10100", "8507", "10518", "9625", "10632", "8824", "8744", "8633", "7130", "10926", "9071", "9857", "9835", "3496", "8124", "5641", "10052", "10131", "9767", "8150", "...
{ "recommended": [ "10228", "8824", "8648", "10518", "6808", "8150", "9847", "10111", "10148", "8507" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10248", "8225", "298", "3254", "9464", "7847", "3502", "304", "9180", "5489", "6192", "7419", "7450", "7594", "10428", "9182", "9347", "11511", "6074", "9481", "6854", "5682", "4611", "8741", "11222"...
{ "recommended": [ "9201", "7450", "3254", "11972", "10248", "9464", "8225", "9481", "3502", "4611" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10580", "9857", "10166", "10132", "10186", "10000", "8124", "8968", "9848", "8851", "9835", "8969", "9110", "9369", "10313", "10100", "9849", "10618", "10134", "10941", "10004", "9188", "9781", "10131", ...
{ "recommended": [ "10926", "9857", "8813", "10143", "9835", "10632", "9369", "8851", "10134", "8824" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6359", "3405", "7494", "7662", "5842", "7082", "495", "5832", "2606", "1902", "1676", "6435", "907", "2114", "8785", "21", "681", "1165", "8661", "6514", "3761", "4205", "3082", "4230", "5150", "...
{ "recommended": [ "3082", "3768", "7075", "3761", "478", "9513", "5842", "2902", "2460", "2648" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11214", "7213", "4008", "8661", "5412", "8463", "2244", "2005", "9201", "2319", "8289", "9981", "7419", "6850", "9255", "3261", "9481", "1675", "4803", "9347", "2606", "8256", "7076", "7857", "6906",...
{ "recommended": [ "2922", "7857", "9208", "8289", "7075", "8661", "5772", "8395", "6192", "11214" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11061", "10279", "5656", "11906", "10946", "9523", "11245", "8610", "5963", "3094", "11188", "8479", "11113", "11069", "5964", "8490", "9811", "8491", "9488", "7922", "6753", "8478", "7358", "10056", ...
{ "recommended": [ "7922", "3094", "8803", "7358", "7648", "9529", "10946", "10819", "8479", "9811" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3447", "6611", "842", "3488", "11275", "816", "2326", "2648", "4335", "5999", "6649", "3888", "1914", "606", "7129", "7042", "7821", "945", "5024", "1023", "8403", "1041", "263", "5829", "3148", ...
{ "recommended": [ "7042", "5024", "263", "606", "6444", "8169", "6649", "1041", "7405", "4335" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9787", "678", "1413", "599", "3015", "2673", "3260", "9481", "8741", "8517", "2215", "2648", "10404", "907", "4541", "1802", "2273", "1235", "2922", "6264", "2377", "9665", "5809", "2255", "3261", ...
{ "recommended": [ "8748", "3313", "9021", "2255", "3261", "678", "1802", "8582", "5791", "7778" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10004", "9341", "9849", "8851", "9109", "9640", "10211", "10148", "10119", "8454", "9188", "9735", "11274", "11273", "9845", "11793", "10143", "10156", "10170", "10100", "10927", "10000", "9853", "8136",...
{ "recommended": [ "11793", "11349", "9767", "8899", "2150", "8136", "10148", "9857", "10134", "10211" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8872", "2646", "8446", "6874", "6951", "9195", "5677", "9603", "10103", "4008", "9208", "1795", "9316", "5209", "10315", "8661", "6841", "7513", "6150", "5107", "11076", "2244", "3832", "1675", "7705...
{ "recommended": [ "5527", "5095", "9208", "9195", "1795", "9603", "3832", "8446", "5209", "9316" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5522", "9127", "5194", "10273", "4414", "6975", "4256", "5031", "9029", "8608", "6727", "10881", "8243", "1654", "4075", "7802", "8886", "7122", "7121", "8941", "8149", "9297", "2698", "8711", "10309...
{ "recommended": [ "1675", "10287", "10873", "7071", "7121", "8886", "9127", "9962", "6975", "8711" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8600", "3994", "7121", "7755", "10946", "10123", "4733", "5133", "6572", "10864", "5490", "8569", "7977", "4628", "5843", "8585", "6742", "7757", "8844", "7443", "8777", "8250", "7286", "6308", "7959...
{ "recommended": [ "8844", "7224", "5712", "6984", "5522", "7755", "7757", "4733", "8816", "9121" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10362", "10864", "5049", "10440", "10229", "11004", "9857", "4911", "10287", "4337", "10163", "5493", "10199", "9184", "9100", "10609", "9366", "6308", "3496", "10408", "5032", "7813", "10787", "10136", ...
{ "recommended": [ "10609", "10230", "10199", "10440", "10946", "4337", "10787", "10163", "10579", "10587" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "929", "1340", "390", "268", "584", "10258", "5507", "3732", "2684", "4756", "4588", "4185", "6906", "2123", "9549", "8196", "387", "2823", "847", "4179", "10347", "2244", "3508", "8218", "1315", ...
{ "recommended": [ "10347", "10258", "9549", "1607", "247", "3732", "6841", "6037", "4008", "4836" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1472", "4426", "4944", "2178", "187", "11152", "2149", "96", "6727", "6889", "189", "1521", "3668", "7756", "6983", "1699", "442", "2210", "1365", "6841", "727", "190", "7360", "181", "2684", "34...
{ "recommended": [ "7756", "7360", "2648", "3467", "6841", "442", "4944", "2684", "8712", "1699" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9861", "526", "5267", "9192", "1490", "3472", "3275", "8737", "439", "599", "10246", "4294", "6677", "7488", "7462", "2648", "3131", "6258", "124", "7821", "2319", "8789", "4209", "4042", "4230", ...
{ "recommended": [ "7656", "6789", "3473", "4294", "2987", "6454", "6258", "1490", "6012", "4284" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5996", "298", "5682", "5809", "231", "599", "442", "2081", "683", "4330", "2509", "7343", "8672", "1393", "3780", "840", "2935", "63", "1246", "6264", "4958", "448", "3805", "4230", "1657", "4754...
{ "recommended": [ "9417", "4958", "3527", "6727", "11256", "306", "5682", "2648", "4754", "2509" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4126", "41", "9106", "1349", "149", "679", "1912", "4754", "3768", "5600", "2035", "2922", "2921", "945", "815", "6433", "4513", "4162", "4271", "8998", "357", "6534", "4868", "4473", "2903", "63...
{ "recommended": [ "3474", "2035", "2895", "41", "1349", "9106", "442", "595", "4473", "815" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10979", "10163", "7448", "8899", "8043", "10770", "9300", "9681", "9844", "6087", "10580", "10748", "10134", "10798", "10009", "9767", "9781", "8824", "10211", "9832", "10148", "9484", "11321", "9366", ...
{ "recommended": [ "10798", "10762", "9844", "8507", "10134", "10787", "10742", "9484", "2987", "8824" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "590", "5610", "6071", "9219", "8210", "2772", "11064", "5918", "8534", "6854", "7772", "2030", "5808", "3142", "537", "306", "2553", "1300", "6841", "5780", "7412", "7213", "2377", "3651", "5682", ...
{ "recommended": [ "9914", "7772", "6841", "8534", "124", "7213", "4214", "6854", "5682", "6071" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5049", "4911", "4643", "187", "9562", "6978", "5053", "2210", "6928", "4716", "2326", "5522", "3069", "5843", "3473", "9123", "11579", "84", "5050", "15", "6061", "9799", "5865", "6998", "1476", ...
{ "recommended": [ "9562", "15", "4227", "4911", "4871", "2353", "84", "9346", "4140", "5825" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2987", "8569", "6303", "10470", "11230", "4996", "8075", "4643", "5194", "7062", "7783", "6875", "10996", "5522", "8895", "10721", "10152", "8880", "11453", "7959", "8821", "9604", "7425", "10192", "...
{ "recommended": [ "11453", "8880", "9530", "7425", "7676", "7121", "2987", "3273", "10916", "10720" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8221", "11294", "10106", "8150", "8648", "2987", "10632", "10052", "9909", "8826", "10579", "10580", "9119", "9702", "10861", "8382", "9366", "9835", "10929", "10148", "8633", "11492", "11249", "10132", ...
{ "recommended": [ "10856", "8824", "2987", "10929", "8615", "8633", "9119", "11023", "9909", "9835" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5289", "8090", "8816", "10821", "8243", "6322", "7756", "10609", "8444", "7120", "8777", "9488", "10138", "7124", "5532", "7121", "10996", "8481", "10279", "4465", "8183", "6875", "10864", "8598", "1...
{ "recommended": [ "11138", "10996", "10133", "8895", "7121", "8816", "4465", "10123", "4739", "8777" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10028", "10123", "10279", "7122", "9509", "11379", "8818", "10942", "10035", "8481", "11399", "10029", "6500", "10133", "10997", "10091", "10990", "8569", "9121", "8090", "10946", "6572", "11004", "10273...
{ "recommended": [ "10942", "10003", "5975", "6572", "6753", "10609", "9509", "8090", "11399", "9560" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2319", "10976", "6940", "5517", "6841", "13", "6840", "9778", "5162", "7064", "8197", "6519", "8610", "4626", "10273", "9530", "6997", "7178", "6858", "5400", "6851", "8486", "1162", "10839", "5522",...
{ "recommended": [ "8122", "4563", "6858", "1162", "6940", "9778", "5194", "2993", "4626", "209" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10217", "10003", "7122", "10091", "10036", "9534", "10609", "3094", "9673", "5843", "8103", "9718", "11379", "7977", "5336", "9100", "10273", "10946", "11188", "6670", "10864", "7652", "6916", "8330", ...
{ "recommended": [ "9534", "8243", "8330", "6059", "6670", "9120", "11379", "10123", "7977", "10273" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8001", "9276", "3261", "6648", "8408", "5791", "8807", "1305", "11007", "1699", "5698", "4230", "8476", "3361", "9401", "10719", "9876", "10066", "9277", "1522", "1300", "3117", "5066", "8054", "3299...
{ "recommended": [ "9401", "7248", "1300", "6077", "5791", "10066", "8476", "1933", "5923", "10719" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "4065", "8229", "563", "6801", "8292", "10905", "11354", "9201", "9197", "10246", "9160", "8851", "10165", "9919", "8777", "5781", "9745", "6141", "11373", "10864", "10354", "11396", "11403", "11836", ...
{ "recommended": [ "6801", "4065", "10864", "5853", "209", "9919", "10905", "11354", "11785", "9201" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6308", "281", "7063", "9326", "6941", "9107", "7076", "5481", "5780", "989", "2238", "4337", "1602", "4318", "842", "3771", "1165", "7496", "926", "7921", "8520", "8202", "7558", "6254", "1990", ...
{ "recommended": [ "1990", "926", "1110", "2238", "3990", "5145", "4318", "7350", "3603", "8038" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9194", "6591", "5723", "4247", "10274", "9228", "8485", "3193", "2554", "2646", "3208", "9195", "10862", "1686", "5107", "9002", "9322", "2371", "5507", "5207", "2711", "8389", "762", "1121", "721", ...
{ "recommended": [ "8485", "9195", "10991", "8271", "9002", "8389", "1121", "2646", "5207", "6591" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11748", "11883", "11880", "11878", "11363", "11805", "11831", "12016", "11876", "11710", "11776", "12005", "11773", "11899", "11912", "11712", "11699", "11853", "11779", "12026", "11652", "11898", "11904", ...
{ "recommended": [ "11820", "12026", "11883", "11904", "11773", "11876", "12005", "11898", "11535", "11711" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11766", "10810", "10561", "10164", "4697", "5293", "11051", "11184", "10374", "7026", "8387", "9086", "10865", "8976", "6235", "10808", "10529", "10572", "10815", "10897", "11771", "10711", "10812", "110...
{ "recommended": [ "4697", "3704", "9713", "5293", "9086", "10561", "7700", "10164", "11767", "10711" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "12004", "11776", "3856", "11801", "11710", "11701", "11373", "11220", "11850", "9978", "11341", "11619", "9784", "11805", "11818", "11374", "11879", "4016", "8388", "11565", "7026", "11700", "11767", "11...
{ "recommended": [ "9784", "7136", "9996", "11767", "11052", "8978", "11763", "11879", "11765", "11220" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10100", "10279", "7777", "9491", "8518", "7763", "8598", "9712", "7977", "7130", "10004", "9077", "8150", "7532", "7651", "8633", "6097", "8362", "10284", "10632", "3315", "8124", "9369", "9640", "84...
{ "recommended": [ "8969", "7532", "11187", "8598", "8590", "9491", "8280", "8633", "10632", "9077" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11910", "9853", "10617", "8636", "9640", "9848", "10927", "10152", "9343", "9188", "10143", "8136", "9850", "8813", "10009", "9581", "10196", "8967", "10328", "8824", "10170", "9767", "10929", "10580", ...
{ "recommended": [ "8969", "8967", "9110", "9119", "10152", "9581", "9847", "10148", "9850", "10929" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1490", "6037", "3484", "5355", "8390", "10357", "5831", "3026", "1675", "7131", "4112", "1351", "5143", "7075", "7857", "6521", "8289", "6906", "2987", "1574", "7821", "2244", "8044", "7070", "10245"...
{ "recommended": [ "9387", "6865", "10357", "5831", "9612", "5507", "1675", "8390", "1203", "5355" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1522", "6786", "7648", "7552", "1539", "8482", "7649", "10042", "9488", "5194", "9530", "8486", "7443", "8477", "10036", "8478", "9562", "7854", "9916", "8608", "11061", "10287", "8614", "8481", "556...
{ "recommended": [ "9688", "6402", "7652", "8484", "8491", "8477", "5564", "7654", "11188", "8483" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8608", "2987", "8590", "9562", "10926", "10946", "11188", "6307", "7224", "7130", "8816", "10123", "5098", "6742", "2207", "5951", "5250", "7121", "8990", "9624", "10003", "8897", "6841", "8585", "69...
{ "recommended": [ "9077", "8990", "2987", "6916", "8816", "5951", "7560", "8635", "7977", "7849" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8280", "6461", "5641", "9847", "5098", "2037", "9850", "8824", "10009", "2655", "10617", "8850", "10632", "8125", "10149", "8281", "9702", "8851", "8633", "10657", "7215", "10163", "3496", "8227", "1...
{ "recommended": [ "6461", "8227", "11294", "11910", "8850", "9712", "10163", "10148", "8633", "10009" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "639", "6360", "2891", "5225", "1741", "8446", "5044", "3190", "4609", "4017", "5218", "6658", "499", "8872", "9230", "9192", "8680", "7222", "5138", "7859", "8470", "8661", "4003", "11337", "5551", ...
{ "recommended": [ "10464", "6360", "8661", "8939", "5138", "6537", "9194", "9967", "3208", "2891" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2420", "9212", "3405", "6378", "7419", "537", "9198", "7847", "7398", "2377", "2360", "6454", "6321", "1741", "8161", "3259", "9923", "6807", "4924", "11242", "9211", "3298", "3504", "6074", "3104", ...
{ "recommended": [ "537", "6807", "1741", "2772", "3259", "8720", "9198", "2378", "1121", "6321" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11662", "11658", "12079", "12025", "12046", "7869", "12058", "12080", "11617", "11276", "11869", "12055", "11745", "11988", "12057", "11705", "11045", "11791", "12078", "11305", "11990", "11814", "11909", ...
{ "recommended": [ "12066", "11791", "11869", "11679", "12065", "12079", "11705", "12020", "11276", "11919" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10930", "10580", "10329", "10802", "10328", "10216", "10171", "8136", "10196", "11274", "9291", "11600", "8985", "10617", "9841", "9640", "10009", "8968", "9849", "10170", "9832", "10188", "8969", "9465"...
{ "recommended": [ "11600", "9767", "10132", "10216", "10802", "9109", "8899", "10617", "10931", "8136" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "98", "5529", "5844", "7597", "11771", "4016", "11761", "7260", "5033", "3851", "4054", "11897", "11403", "9713", "11803", "11701", "11565", "3398", "10293", "8299", "11785", "11850", "4205", "8300", ...
{ "recommended": [ "1854", "6946", "4054", "11825", "8300", "11230", "3398", "11701", "3297", "11771" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2378", "6407", "2972", "9208", "5776", "880", "1227", "2473", "1799", "4234", "2423", "2921", "7043", "1221", "6521", "1556", "1508", "1741", "1190", "1856", "3260", "5446", "2005", "3309", "239", ...
{ "recommended": [ "10428", "2423", "2473", "5776", "239", "7838", "344", "357", "9208", "241" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5162", "3579", "5811", "6167", "490", "7913", "1654", "1686", "9207", "1858", "7071", "7135", "1474", "6727", "5851", "4424", "7369", "4712", "8035", "2513", "1678", "3208", "1987", "560", "4603", ...
{ "recommended": [ "8035", "4712", "1678", "1474", "1654", "2165", "2684", "3208", "209", "3363" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "448", "2360", "1250", "5205", "6372", "9211", "3768", "7821", "3405", "9218", "2319", "11076", "1220", "1245", "7419", "11679", "9513", "8582", "7082", "6454", "4763", "9301", "3261", "2420", "6192",...
{ "recommended": [ "11060", "3663", "1249", "4039", "537", "448", "1250", "7351", "6092", "9481" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "5787", "5066", "2922", "9181", "5930", "8625", "4275", "7151", "2267", "2360", "5926", "2793", "2212", "9888", "459", "3015", "8467", "7218", "9276", "6076", "6075", "10485", "9567", "5791", "9203", ...
{ "recommended": [ "7218", "9568", "8760", "2673", "5789", "10466", "9888", "3015", "4884", "3774" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3829", "6097", "8647", "8968", "10100", "5098", "9762", "3210", "8824", "5570", "10131", "8280", "9369", "8125", "8969", "9119", "9767", "11023", "8651", "10518", "3496", "8507", "9835", "4664", "105...
{ "recommended": [ "8647", "8824", "9580", "10238", "10052", "9119", "11023", "8507", "8715", "10100" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1979", "5698", "6454", "5209", "3360", "7821", "7590", "9208", "3411", "468", "4230", "6507", "3914", "7178", "7144", "2848", "8610", "6192", "6528", "6916", "9195", "4385", "7594", "7648", "5107", ...
{ "recommended": [ "5188", "5107", "4126", "9700", "6916", "2848", "4385", "8256", "5698", "2972" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6483", "6139", "10745", "6601", "10399", "7615", "2125", "9079", "11233", "2384", "11180", "10103", "1789", "362", "3352", "9441", "6757", "6890", "9625", "8898", "8922", "9426", "6450", "1002", "802...
{ "recommended": [ "6946", "3208", "11311", "1789", "6757", "6139", "2384", "8357", "3747", "9441" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8387", "11403", "10373", "10164", "10374", "7769", "52", "168", "5732", "5293", "1774", "3704", "8229", "10572", "7512", "10808", "9713", "10357", "11184", "10810", "10599", "3856", "10711", "4417", ...
{ "recommended": [ "7512", "5293", "10732", "11184", "3856", "8388", "10357", "10572", "10692", "10984" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "267", "1934", "6758", "6233", "2524", "2215", "1508", "884", "2137", "4398", "3209", "8631", "7532", "526", "5666", "2606", "10248", "3276", "2987", "1915", "8936", "454", "6489", "8872", "2605", ...
{ "recommended": [ "1915", "5197", "9571", "5790", "8316", "352", "8936", "2606", "268", "2894" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8868", "595", "7002", "592", "11646", "1139", "5982", "6547", "721", "2827", "678", "5236", "2922", "5897", "9002", "7151", "9225", "3209", "7044", "3193", "3502", "6264", "6179", "2921", "2673", ...
{ "recommended": [ "2925", "3209", "1139", "4367", "3502", "8868", "5236", "7821", "5066", "1741" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2599", "298", "478", "39", "3924", "8457", "6419", "6841", "9169", "7692", "4045", "9338", "379", "209", "7662", "1768", "4830", "250", "2606", "3791", "718", "2244", "9383", "4187", "6668", "643...
{ "recommended": [ "4187", "1768", "1335", "298", "1413", "7692", "478", "6841", "5762", "2251" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6077", "9276", "5943", "7979", "7082", "2648", "2215", "7987", "9607", "8254", "6530", "3259", "1124", "3663", "8582", "5011", "6321", "8741", "10365", "5791", "233", "7456", "2360", "1842", "2457", ...
{ "recommended": [ "6673", "6359", "4973", "6321", "8467", "832", "2435", "8720", "233", "4541" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3409", "6613", "98", "6727", "9474", "3474", "2648", "8998", "5207", "6372", "8784", "5982", "5900", "1229", "2233", "2935", "28", "3861", "2319", "4513", "6388", "599", "8785", "7477", "1797", "...
{ "recommended": [ "8785", "8784", "3861", "4513", "921", "649", "1797", "3852", "5589", "3300" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "1509", "4299", "1772", "3823", "6354", "1484", "1930", "5791", "7151", "2673", "3066", "8956", "9549", "1588", "2509", "6775", "1771", "2084", "5584", "9948", "8548", "9521", "2029", "2241", "2646", ...
{ "recommended": [ "9035", "3066", "2243", "2029", "4026", "5955", "2646", "3106", "6354", "9549" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11780", "11899", "11776", "11797", "11931", "11825", "11772", "11900", "11775", "12005", "11763", "11236", "11778", "11883", "11653", "11773", "11878", "11711", "11880", "11770", "11897", "11708", "11710", ...
{ "recommended": [ "11780", "11803", "11900", "11773", "11565", "11711", "11879", "11768", "11883", "11785" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10217", "10825", "8117", "9347", "10208", "6", "5987", "8566", "6727", "11628", "1265", "10053", "261", "3469", "6811", "9561", "11222", "9431", "10273", "5912", "9100", "10287", "7318", "10950", "79...
{ "recommended": [ "10950", "9561", "6811", "4310", "10208", "8256", "1265", "6727", "5912", "9702" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7044", "10711", "3420", "4689", "11347", "6141", "3502", "7467", "454", "10107", "11051", "2617", "9713", "7847", "9906", "11664", "11403", "8629", "11393", "7821", "7419", "269", "1587", "8542", "10...
{ "recommended": [ "454", "7847", "1587", "10107", "11347", "11054", "6192", "10319", "5489", "9451" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10565", "9604", "10958", "11051", "10561", "10690", "5493", "10560", "8539", "8556", "8463", "10905", "10771", "10721", "8014", "10704", "9250", "10984", "7104", "10809", "10816", "9996", "8720", "11052"...
{ "recommended": [ "3279", "10565", "8720", "3857", "9604", "9085", "8463", "10704", "9250", "10905" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7847", "6372", "8741", "7412", "9685", "5920", "7419", "9201", "4601", "7999", "3261", "5695", "9609", "5803", "7047", "1819", "2041", "2176", "8314", "599", "3114", "2640", "4675", "11225", "9021", ...
{ "recommended": [ "9380", "8026", "599", "3261", "2176", "3313", "9347", "6573", "2711", "4675" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2176", "6841", "40", "3193", "5095", "298", "5682", "8581", "1875", "6321", "4460", "9211", "4324", "7847", "3508", "3295", "2532", "8646", "590", "1305", "1738", "7412", "5807", "6192", "3104", ...
{ "recommended": [ "1875", "4898", "3358", "590", "3104", "2772", "4675", "8646", "620", "583" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "439", "5031", "4996", "7557", "9746", "9196", "6727", "748", "7801", "2109", "2000", "7633", "10482", "6757", "3358", "2174", "548", "2472", "1675", "4971", "8889", "11380", "6993", "7673", "10088", ...
{ "recommended": [ "9196", "8889", "8466", "545", "2000", "6757", "1675", "5262", "11380", "7673" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7287", "3952", "4849", "8741", "3171", "5348", "4955", "10086", "7896", "3192", "5124", "6435", "44", "6727", "2922", "6127", "6334", "8930", "3694", "1414", "2168", "2319", "7494", "4868", "8656", ...
{ "recommended": [ "10016", "4868", "5842", "6435", "5003", "5826", "1414", "296", "2168", "44" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11899", "11653", "11779", "11714", "11515", "11729", "12033", "11781", "11565", "11897", "11879", "11853", "11762", "11797", "11818", "11535", "11882", "11772", "11900", "11804", "11198", "11701", "7026", ...
{ "recommended": [ "12033", "11664", "11781", "11198", "11759", "11760", "11535", "11714", "11778", "11899" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "2236", "2360", "2922", "5787", "945", "535", "5803", "2781", "8000", "7541", "4978", "4955", "6542", "8335", "5237", "7764", "2648", "1111", "10407", "5929", "5240", "595", "3069", "2989", "6906", ...
{ "recommended": [ "6743", "4978", "10271", "4007", "6906", "8335", "1111", "8570", "945", "2922" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9826", "935", "11452", "3330", "1190", "4024", "3405", "4247", "10611", "9309", "6906", "1528", "3778", "9967", "8395", "4645", "2244", "4310", "10862", "4661", "5730", "6440", "2505", "4803", "3451"...
{ "recommended": [ "9309", "4024", "6269", "6440", "1528", "4803", "4645", "387", "10862", "2944" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10696", "10692", "10573", "10844", "9251", "10703", "10811", "10571", "10702", "10984", "9288", "10164", "9085", "10200", "10700", "10704", "2618", "9086", "2617", "10752", "10701", "10538", "4567", "106...
{ "recommended": [ "11767", "10506", "10567", "10570", "10707", "2662", "9251", "11054", "10200", "10573" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11201", "11760", "11803", "11769", "11778", "11898", "11766", "2689", "11762", "11776", "8978", "11768", "11729", "11777", "11899", "11818", "10899", "11772", "11825", "11804", "11773", "11931", "11782", ...
{ "recommended": [ "11710", "2689", "11771", "11773", "11803", "11899", "11778", "11647", "8979", "11804" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7571", "584", "10153", "9476", "1856", "4879", "3494", "5042", "8661", "10125", "7594", "3295", "8314", "1352", "11066", "6061", "11373", "7859", "7351", "8425", "9169", "3114", "9921", "8667", "9477...
{ "recommended": [ "9728", "9477", "166", "4996", "9207", "6007", "10914", "9329", "3114", "10153" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "250", "2648", "2987", "8569", "8256", "3734", "4169", "8517", "4230", "8662", "3970", "8289", "6042", "159", "6784", "8672", "3015", "6029", "10357", "6370", "5245", "4126", "7075", "8568", "357", ...
{ "recommended": [ "5245", "4169", "4126", "2857", "2509", "4230", "8569", "7232", "5412", "357" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8897", "7120", "5244", "8778", "9183", "4797", "7849", "10946", "7745", "9387", "6841", "8755", "10264", "10136", "3605", "6309", "9509", "9560", "4037", "10207", "8124", "5528", "21", "6435", "7122"...
{ "recommended": [ "10512", "11375", "3605", "10136", "6435", "9673", "10864", "7849", "7977", "5528" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "606", "10793", "7071", "7425", "10767", "10380", "10962", "4910", "7977", "8470", "9226", "10877", "11204", "7849", "6875", "1773", "6303", "9450", "10120", "265", "8618", "11156", "9637", "10229", "...
{ "recommended": [ "3691", "4910", "4694", "11434", "6875", "3447", "6303", "10793", "10877", "7425" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "860", "4039", "4768", "615", "2734", "2874", "4301", "8161", "1245", "4773", "5770", "4044", "51", "2228", "9172", "209", "1518", "3025", "5882", "2377", "2807", "2852", "444", "3248", "9208", "2...
{ "recommended": [ "8313", "3252", "7838", "2378", "8161", "444", "10839", "7725", "6146", "1232" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8906", "3315", "8221", "10100", "2655", "4817", "7532", "8633", "11249", "8850", "8136", "10453", "8743", "3956", "11391", "8615", "10163", "10925", "2653", "9909", "10111", "10794", "7777", "9465", ...
{ "recommended": [ "10740", "9035", "9909", "8221", "9038", "9756", "10152", "11023", "8136", "8743" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9228", "7725", "11327", "11695", "11222", "7594", "6702", "8395", "10246", "9431", "10554", "11347", "9551", "6547", "7751", "6419", "6599", "9967", "9466", "9219", "6874", "2687", "2207", "10862", "...
{ "recommended": [ "10442", "7660", "11832", "11222", "11505", "9466", "8662", "10554", "6599", "6678" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11742", "11788", "11688", "11280", "11602", "11816", "11919", "11881", "12000", "11928", "11787", "11813", "10800", "6733", "11957", "12032", "12031", "11990", "12002", "12012", "11789", "11819", "255", ...
{ "recommended": [ "6733", "11928", "11665", "11743", "11881", "11889", "10442", "11788", "11347", "11957" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "11884", "11767", "11775", "12005", "12016", "11803", "11582", "11820", "11931", "11710", "11950", "11955", "11898", "11614", "11585", "11786", "11807", "11773", "11653", "11880", "11831", "11853", "11565", ...
{ "recommended": [ "11712", "11711", "11775", "11707", "11341", "11902", "11912", "11884", "11699", "11582" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9428", "5427", "7037", "5343", "6796", "2071", "8403", "6150", "7214", "10365", "5096", "4931", "8073", "924", "8019", "7070", "2297", "6503", "2788", "8869", "9603", "890", "5404", "5950", "2648", ...
{ "recommended": [ "11385", "849", "2624", "890", "469", "8661", "924", "4935", "3526", "2648" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "149", "3729", "706", "5522", "5803", "9283", "9366", "6727", "3474", "3851", "6613", "5812", "5676", "5601", "3743", "10522", "9432", "9702", "4917", "11640", "9707", "10861", "6768", "3297", "3922",...
{ "recommended": [ "3743", "6768", "9283", "5522", "5601", "11640", "5799", "3474", "5676", "3851" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3898", "9767", "6410", "1510", "3907", "8818", "7532", "9857", "7849", "6337", "6841", "11667", "9404", "8599", "9072", "6951", "3208", "7930", "7863", "8990", "6334", "9781", "3908", "8700", "2987",...
{ "recommended": [ "9767", "9404", "1510", "6144", "3907", "5190", "7863", "10246", "6874", "3208" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3752", "411", "2114", "1165", "8289", "2420", "5462", "6359", "4654", "6765", "2648", "218", "3923", "9513", "3914", "6393", "5959", "324", "7838", "98", "3224", "9215", "4049", "9549", "5698", "...
{ "recommended": [ "4654", "3758", "2650", "694", "7494", "3768", "3261", "6434", "5236", "5826" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8479", "11572", "8497", "9417", "8477", "8614", "6784", "9530", "7652", "7646", "8569", "6402", "9916", "8484", "9870", "8480", "8491", "7894", "7854", "8608", "6029", "8476", "10821", "3494", "7649"...
{ "recommended": [ "6402", "8486", "10635", "8502", "8315", "7651", "7649", "7646", "3494", "6251" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3867", "7656", "9287", "3352", "6860", "4611", "9192", "8681", "3011", "7057", "3319", "6869", "5308", "9208", "6393", "7419", "3961", "3183", "6727", "6865", "5558", "11189", "7847", "1243", "6192",...
{ "recommended": [ "9921", "2983", "5558", "6398", "4993", "5843", "3508", "9192", "6727", "5308" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "7172", "5307", "7017", "9326", "5427", "2949", "2744", "3627", "10633", "7238", "1697", "6906", "5107", "7973", "4929", "6161", "4387", "7755", "1267", "8990", "6433", "8698", "2788", "998", "7130", ...
{ "recommended": [ "11784", "7172", "6161", "6896", "5523", "5404", "10633", "4931", "4253", "7130" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "96", "209", "5841", "2710", "4341", "1835", "2278", "429", "6613", "6138", "149", "9474", "3841", "9172", "3768", "4042", "3300", "2811", "3798", "10310", "4227", "2319", "71", "268", "6727", "28...
{ "recommended": [ "6138", "429", "9474", "3112", "4984", "4042", "149", "4286", "727", "9108" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "8882", "5782", "6805", "8887", "8300", "3694", "6997", "2807", "8243", "2319", "7044", "7913", "5409", "3844", "9108", "8741", "130", "4424", "1254", "7765", "5140", "177", "8517", "6406", "8289", ...
{ "recommended": [ "8300", "159", "9108", "5431", "8256", "4227", "3694", "6805", "2648", "8882" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3783", "2762", "1221", "3390", "2301", "4603", "1510", "6534", "4503", "212", "1636", "4763", "7200", "2005", "9172", "8517", "5220", "8786", "2673", "6264", "3786", "6906", "5611", "5535", "6441", ...
{ "recommended": [ "7689", "1912", "1519", "535", "10240", "1636", "7200", "5535", "1741", "7937" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9206", "3398", "1633", "8462", "535", "5881", "9255", "3852", "3841", "1902", "9474", "3768", "6851", "6263", "3857", "6727", "9713", "2606", "6435", "4042", "7494", "5842", "52", "149", "3297", ...
{ "recommended": [ "5881", "6613", "4984", "9206", "6792", "3857", "149", "5842", "4043", "9713" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "10815", "10567", "10810", "10699", "1135", "9251", "10669", "10698", "10774", "10670", "2617", "10808", "10897", "5091", "10701", "10374", "10571", "10689", "10790", "10707", "10752", "4567", "2662", "10...
{ "recommended": [ "10696", "10573", "10670", "10691", "2662", "10704", "1135", "10374", "8388", "10759" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "3254", "5682", "963", "3852", "10195", "11080", "7217", "1413", "5095", "6179", "3832", "4329", "2646", "8662", "9383", "8646", "40", "7717", "9207", "6793", "7847", "9219", "3295", "7419", "5589", ...
{ "recommended": [ "1213", "3832", "10195", "6179", "8662", "2633", "9218", "5095", "6575", "9219" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "9123", "7044", "6029", "6841", "8063", "10828", "8646", "7122", "5053", "6875", "6784", "4521", "4119", "7352", "8990", "6984", "5194", "5843", "6727", "10384", "2513", "1756", "3494", "9477", "3549"...
{ "recommended": [ "10384", "4748", "7595", "5069", "5564", "7044", "6916", "3549", "3494", "7122" ] }
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews.
{ "candidates": [ "6808", "8859", "8737", "10592", "3941", "9079", "11473", "5666", "8911", "6771", "9625", "11100", "6483", "6450", "8072", "6809", "6458", "8917", "6772", "11312", "8922", "11091", "7948", "7617", "10...
{ "recommended": [ "11922", "11312", "9630", "6771", "5666", "7536", "10592", "7610", "6616", "10415" ] }
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