instruction stringclasses 1
value | input dict | output dict |
|---|---|---|
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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