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": [
"5662",
"2411",
"9781",
"4475",
"3804",
"9941",
"11379",
"11390",
"7818",
"10029",
"1766",
"10490",
"10362",
"10948",
"1751",
"4185",
"3453",
"5353",
"9752",
"5018",
"9873",
"8144",
"11118",
"5604",
"... | {
"recommended": [
"11864",
"5662",
"2411",
"9781",
"4475",
"3804",
"9941",
"11379",
"11390",
"7818"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2441",
"11677",
"9596",
"9347",
"4366",
"10442",
"5912",
"11450",
"11281",
"11696",
"6311",
"11949",
"6966",
"11662",
"3745",
"11290",
"8307",
"11422",
"11679",
"10477",
"10288",
"11261",
"11256",
"9784"... | {
"recommended": [
"59",
"2441",
"11677",
"9596",
"9347",
"4366",
"10442",
"5912",
"11450",
"11281"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6465",
"9993",
"8913",
"3213",
"6458",
"9355",
"8348",
"11072",
"8861",
"8898",
"6245",
"8245",
"6480",
"11074",
"7317",
"6243",
"7482",
"8919",
"6771",
"7484",
"8936",
"9602",
"8432",
"9292",
"8060"... | {
"recommended": [
"10254",
"6465",
"9993",
"8913",
"3213",
"6458",
"9355",
"8348",
"11072",
"8861"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9581",
"10931",
"10926",
"10186",
"9849",
"10632",
"9832",
"8985",
"10927",
"10096",
"8382",
"10100",
"10156",
"10119",
"8043",
"10189",
"8507",
"8373",
"10052",
"10929",
"9836",
"10313",
"10009",
"10143... | {
"recommended": [
"10321",
"9581",
"10931",
"10926",
"10186",
"9849",
"10632",
"9832",
"8985",
"10927"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9110",
"8227",
"6410",
"9767",
"2150",
"8124",
"8329",
"10004",
"9366",
"9622",
"10444",
"10657",
"10247",
"11249",
"8125",
"9625",
"10580",
"8853",
"9853",
"8968",
"9850",
"10152",
"9119",
"10052",
... | {
"recommended": [
"10228",
"9110",
"8227",
"6410",
"9767",
"2150",
"8124",
"8329",
"10004",
"9366"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3208",
"6811",
"4888",
"6534",
"8741",
"759",
"2381",
"2319",
"10357",
"1839",
"7420",
"9497",
"1510",
"10354",
"8415",
"1248",
"9561",
"8202",
"10862",
"10365",
"6847",
"9002",
"11909",
"6665",
"506... | {
"recommended": [
"9201",
"3208",
"6811",
"4888",
"6534",
"8741",
"759",
"2381",
"2319",
"10357"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10189",
"10313",
"10052",
"10330",
"10111",
"3426",
"8801",
"9640",
"10925",
"8824",
"10000",
"10505",
"9634",
"10135",
"9853",
"10009",
"8969",
"9343",
"2150",
"9990",
"10148",
"8124",
"10143",
"9960",
... | {
"recommended": [
"10926",
"10189",
"10313",
"10052",
"10330",
"10111",
"3426",
"8801",
"9640",
"10925"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7075",
"3300",
"4545",
"2017",
"10246",
"362",
"181",
"5600",
"5293",
"7419",
"6841",
"3767",
"2045",
"6613",
"250",
"7847",
"2520",
"1282",
"1675",
"7082",
"2011",
"3549",
"8462",
"5677",
"2757",
... | {
"recommended": [
"3082",
"7075",
"3300",
"4545",
"2017",
"10246",
"362",
"181",
"5600",
"5293"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3914",
"9211",
"8313",
"2747",
"4730",
"5771",
"5165",
"3549",
"9197",
"4019",
"8084",
"3075",
"10842",
"7459",
"3938",
"4984",
"3313",
"7419",
"9084",
"381",
"5296",
"2317",
"3541",
"5689",
"5842",
... | {
"recommended": [
"2922",
"3914",
"9211",
"8313",
"2747",
"4730",
"5771",
"5165",
"3549",
"9197"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10273",
"7721",
"8666",
"9488",
"8483",
"6763",
"7648",
"7653",
"8534",
"5713",
"11379",
"7365",
"11069",
"8478",
"8819",
"11479",
"8479",
"7571",
"8491",
"7117",
"8302",
"8481",
"4470",
"8934",
"809... | {
"recommended": [
"7922",
"10273",
"7721",
"8666",
"9488",
"8483",
"6763",
"7648",
"7653",
"8534"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6223",
"4581",
"5072",
"3385",
"10270",
"813",
"5466",
"1040",
"7129",
"7164",
"3221",
"6443",
"1063",
"8352",
"1081",
"2676",
"3537",
"784",
"10481",
"2541",
"1084",
"1482",
"803",
"3886",
"10881",
... | {
"recommended": [
"7042",
"6223",
"4581",
"5072",
"3385",
"10270",
"813",
"5466",
"1040",
"7129"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6372",
"5684",
"2228",
"2273",
"4435",
"2961",
"770",
"6073",
"233",
"832",
"4624",
"3015",
"1714",
"8748",
"5689",
"4385",
"7002",
"9383",
"9920",
"7788",
"6074",
"9481",
"5237",
"595",
"3427",
... | {
"recommended": [
"8748",
"6372",
"5684",
"2228",
"2273",
"4435",
"2961",
"770",
"6073",
"233"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3496",
"10802",
"10171",
"10000",
"9781",
"8503",
"5856",
"9515",
"10163",
"9832",
"10929",
"9581",
"10148",
"10657",
"10199",
"10941",
"10135",
"10521",
"9845",
"8136",
"9197",
"9847",
"8801",
"10216",
... | {
"recommended": [
"11793",
"3496",
"10802",
"10171",
"10000",
"9781",
"8503",
"5856",
"9515",
"10163"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"689",
"526",
"9239",
"6452",
"3924",
"9207",
"10522",
"4046",
"537",
"8468",
"5698",
"7821",
"5558",
"5106",
"2646",
"2338",
"5198",
"3864",
"2319",
"9208",
"10796",
"4267",
"7459",
"3210",
"6727",
... | {
"recommended": [
"5527",
"689",
"526",
"9239",
"6452",
"3924",
"9207",
"10522",
"4046",
"537"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"4424",
"5053",
"9052",
"1675",
"96",
"5595",
"2246",
"7802",
"7817",
"4465",
"6997",
"3597",
"7122",
"9123",
"9774",
"5963",
"1822",
"6998",
"9778",
"9104",
"8198",
"2705",
"9127",
"7981",
"6051",
... | {
"recommended": [
"1675",
"4424",
"5053",
"9052",
"96",
"5595",
"2246",
"7802",
"7817",
"4465"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5196",
"5490",
"5178",
"7121",
"4336",
"7652",
"7959",
"7977",
"5029",
"8440",
"5951",
"7307",
"6984",
"8243",
"4858",
"4797",
"6812",
"6973",
"4465",
"8569",
"8598",
"4521",
"5244",
"5181",
"7437",
... | {
"recommended": [
"8844",
"5196",
"5490",
"5178",
"7121",
"4336",
"7652",
"7959",
"7977",
"5029"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10926",
"10931",
"10003",
"10134",
"10929",
"10408",
"10166",
"8136",
"9369",
"8969",
"10609",
"10143",
"10100",
"9442",
"9853",
"6801",
"6984",
"8819",
"10927",
"10714",
"9684",
"9197",
"8777",
"11399",... | {
"recommended": [
"10609",
"10926",
"10931",
"10003",
"10134",
"10929",
"10408",
"10166",
"8136",
"9369"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6208",
"413",
"4297",
"9165",
"8030",
"9181",
"1227",
"9320",
"10347",
"9914",
"8038",
"421",
"5780",
"10499",
"6046",
"9218",
"11085",
"6169",
"5223",
"2646",
"11325",
"2423",
"8344",
"10071",
"8662... | {
"recommended": [
"10347",
"6208",
"413",
"4297",
"9165",
"8030",
"9181",
"1227",
"9320",
"9914"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"189",
"268",
"1657",
"185",
"2570",
"6841",
"149",
"3617",
"6325",
"159",
"7286",
"8084",
"2684",
"8583",
"7597",
"140",
"448",
"166",
"8082",
"2902",
"3276",
"6997",
"1131",
"4018",
"1254",
"250... | {
"recommended": [
"7756",
"189",
"268",
"1657",
"185",
"2570",
"6841",
"149",
"3617",
"6325"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8958",
"11076",
"223",
"404",
"6350",
"4665",
"8214",
"1724",
"5174",
"3892",
"1002",
"5252",
"849",
"8421",
"11983",
"9211",
"6294",
"7300",
"9967",
"6841",
"11595",
"8824",
"1683",
"5665",
"10246",... | {
"recommended": [
"7656",
"8958",
"11076",
"223",
"404",
"6350",
"4665",
"8214",
"1724",
"5174"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7121",
"6402",
"40",
"5517",
"2353",
"4330",
"9417",
"209",
"5050",
"2441",
"7560",
"3527",
"5600",
"5996",
"5955",
"444",
"1902",
"3351",
"165",
"2847",
"4018",
"4550",
"5252",
"5141",
"3756",
"... | {
"recommended": [
"9417",
"7121",
"6402",
"40",
"5517",
"2353",
"4330",
"209",
"5050",
"2441"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"4276",
"1303",
"6727",
"7733",
"557",
"3363",
"7847",
"4256",
"3297",
"4605",
"3465",
"9084",
"3435",
"1228",
"8430",
"5249",
"3788",
"1647",
"2800",
"3474",
"6721",
"4411",
"588",
"216",
"1683",
... | {
"recommended": [
"3474",
"4276",
"1303",
"6727",
"7733",
"557",
"3363",
"7847",
"4256",
"3297"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2987",
"10440",
"3426",
"7821",
"10749",
"9506",
"10929",
"10135",
"11852",
"8136",
"10927",
"5580",
"10453",
"7532",
"9767",
"8043",
"11274",
"10587",
"10170",
"11291",
"11175",
"10517",
"10657",
"10737... | {
"recommended": [
"10798",
"2987",
"10440",
"3426",
"7821",
"10749",
"9506",
"10929",
"10135",
"11852"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3295",
"9914",
"6861",
"1403",
"6712",
"7005",
"9208",
"6707",
"306",
"6192",
"5308",
"2737",
"9165",
"5917",
"9431",
"2513",
"4951",
"6684",
"8639",
"6953",
"2553",
"6071",
"6337",
"7151",
"4367",
... | {
"recommended": [
"9914",
"3295",
"6861",
"1403",
"6712",
"7005",
"9208",
"6707",
"306",
"6192"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6840",
"10545",
"5963",
"8530",
"6803",
"5493",
"11579",
"9776",
"5031",
"9051",
"5519",
"8274",
"96",
"10124",
"187",
"9991",
"9530",
"2251",
"8258",
"5194",
"10951",
"5492",
"7839",
"2883",
"10246"... | {
"recommended": [
"9562",
"6840",
"10545",
"5963",
"8530",
"6803",
"5493",
"11579",
"9776",
"5031"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2883",
"8890",
"8818",
"5963",
"5931",
"11519",
"11230",
"8882",
"10635",
"5194",
"3572",
"11378",
"10273",
"10376",
"9529",
"8881",
"8477",
"2987",
"8483",
"8145",
"9123",
"8075",
"5151",
"5249",
"4... | {
"recommended": [
"11453",
"2883",
"8890",
"8818",
"5963",
"5931",
"11519",
"11230",
"8882",
"10635"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11328",
"9677",
"10196",
"9035",
"8750",
"10004",
"8715",
"10802",
"8382",
"10518",
"11910",
"11725",
"8124",
"11291",
"8545",
"10979",
"10927",
"9857",
"8633",
"9767",
"10000",
"8043",
"9432",
"9581",
... | {
"recommended": [
"10856",
"11328",
"9677",
"10196",
"9035",
"8750",
"10004",
"8715",
"10802",
"8382"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8777",
"8600",
"7654",
"2442",
"6753",
"5430",
"6995",
"9530",
"147",
"9396",
"10720",
"8981",
"7759",
"7120",
"7683",
"10514",
"11379",
"8103",
"9562",
"9120",
"7646",
"5963",
"8827",
"11152",
"8200... | {
"recommended": [
"11138",
"8777",
"8600",
"7654",
"2442",
"6753",
"5430",
"6995",
"9530",
"147"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9634",
"11375",
"7977",
"8590",
"6276",
"10452",
"8643",
"5975",
"10056",
"8819",
"8455",
"8482",
"11156",
"9637",
"7849",
"7117",
"10674",
"6753",
"11390",
"5032",
"9640",
"8600",
"5244",
"10123",
"... | {
"recommended": [
"10942",
"9634",
"11375",
"7977",
"8590",
"6276",
"10452",
"8643",
"5975",
"10056"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6930",
"4336",
"8256",
"6079",
"7650",
"7295",
"8122",
"5522",
"3222",
"9962",
"6210",
"7683",
"5528",
"8583",
"6840",
"7817",
"4018",
"4102",
"5713",
"2936",
"10996",
"3220",
"10151",
"6325",
"7011"... | {
"recommended": [
"8122",
"6930",
"4336",
"8256",
"6079",
"7650",
"7295",
"5522",
"3222",
"9962"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7188",
"8478",
"8183",
"10946",
"6753",
"9509",
"8601",
"4465",
"8362",
"6509",
"7854",
"8512",
"4037",
"11379",
"7595",
"8598",
"9634",
"7532",
"10035",
"2003",
"5182",
"9369",
"11186",
"9673",
"764... | {
"recommended": [
"9534",
"7188",
"8478",
"8183",
"10946",
"6753",
"9509",
"8601",
"4465",
"8362"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5677",
"1683",
"402",
"6274",
"4472",
"9197",
"9165",
"535",
"5697",
"2757",
"1732",
"6312",
"4748",
"1305",
"1756",
"7597",
"2319",
"8438",
"3579",
"11076",
"7470",
"6402",
"4573",
"6988",
"2074",
... | {
"recommended": [
"9401",
"5677",
"1683",
"402",
"6274",
"4472",
"9197",
"9165",
"535",
"5697"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8512",
"1482",
"5899",
"8881",
"8882",
"4465",
"11055",
"11052",
"2757",
"6908",
"7457",
"11054",
"7759",
"9057",
"8697",
"10374",
"2924",
"5207",
"2007",
"11160",
"6988",
"7690",
"5799",
"10958",
"1... | {
"recommended": [
"6801",
"8512",
"1482",
"5899",
"8881",
"8882",
"4465",
"11055",
"11052",
"2757"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"4273",
"2593",
"1990",
"4042",
"758",
"3319",
"3639",
"7432",
"10107",
"3525",
"2198",
"7676",
"1731",
"9150",
"737",
"9706",
"1953",
"6382",
"1467",
"4227",
"7890",
"4294",
"2319",
"8009",
"3814",
... | {
"recommended": [
"1990",
"4273",
"2593",
"4042",
"758",
"3319",
"3639",
"7432",
"10107",
"3525"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5192",
"1756",
"9277",
"2973",
"268",
"9967",
"5907",
"2426",
"3836",
"10863",
"1922",
"6071",
"9196",
"7973",
"4185",
"4955",
"9585",
"4385",
"2646",
"553",
"9676",
"535",
"269",
"10088",
"7656",
... | {
"recommended": [
"8485",
"5192",
"1756",
"9277",
"2973",
"268",
"9967",
"5907",
"2426",
"3836"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11363",
"11619",
"10442",
"11878",
"11614",
"11803",
"11176",
"11931",
"11710",
"11830",
"11825",
"11880",
"11715",
"11859",
"11236",
"8976",
"11858",
"11707",
"11782",
"11341",
"12016",
"11620",
"11565",
... | {
"recommended": [
"11820",
"11363",
"11619",
"10442",
"11878",
"11614",
"11803",
"11176",
"11931",
"11710"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10691",
"8562",
"3701",
"11951",
"10816",
"8556",
"9083",
"3702",
"10777",
"10710",
"10564",
"8807",
"10374",
"10690",
"10775",
"10911",
"10692",
"10815",
"10689",
"10883",
"10707",
"4567",
"10572",
"105... | {
"recommended": [
"4697",
"10691",
"8562",
"3701",
"11951",
"10816",
"8556",
"9083",
"3702",
"10777"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2733",
"2503",
"9950",
"738",
"3380",
"5937",
"10376",
"4560",
"5598",
"4668",
"2976",
"11776",
"9978",
"8534",
"3219",
"4016",
"5488",
"11876",
"8976",
"8824",
"10752",
"2684",
"3811",
"3978",
"183"... | {
"recommended": [
"9784",
"2733",
"2503",
"9950",
"738",
"3380",
"5937",
"10376",
"4560",
"5598"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8636",
"1880",
"10134",
"8816",
"8851",
"8125",
"8136",
"10632",
"7854",
"9913",
"8778",
"10273",
"10131",
"9909",
"9369",
"8150",
"8968",
"8482",
"8826",
"8518",
"8969",
"8172",
"4037",
"11188",
"81... | {
"recommended": [
"8969",
"8636",
"1880",
"10134",
"8816",
"8851",
"8125",
"8136",
"10632",
"7854"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10143",
"9684",
"8762",
"9634",
"10930",
"10106",
"11276",
"10052",
"9622",
"2150",
"9667",
"10632",
"9886",
"5578",
"10132",
"10595",
"9366",
"11028",
"10925",
"3496",
"10172",
"9767",
"10714",
"10929",... | {
"recommended": [
"8969",
"10143",
"9684",
"8762",
"9634",
"10930",
"10106",
"11276",
"10052",
"9622"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9940",
"178",
"3694",
"5825",
"4762",
"7700",
"2635",
"5192",
"8313",
"655",
"9285",
"7441",
"8276",
"6407",
"8218",
"331",
"972",
"4626",
"9085",
"4379",
"10781",
"6102",
"7306",
"3604",
"6869",
... | {
"recommended": [
"9387",
"9940",
"178",
"3694",
"5825",
"4762",
"7700",
"2635",
"5192",
"8313"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8701",
"5564",
"7894",
"7170",
"7646",
"1539",
"7520",
"6060",
"400",
"9688",
"8200",
"9634",
"5326",
"7307",
"10035",
"8483",
"5332",
"8490",
"9530",
"6925",
"7652",
"8204",
"9639",
"8502",
"8478",
... | {
"recommended": [
"9688",
"8701",
"5564",
"7894",
"7170",
"7646",
"1539",
"7520",
"6060",
"400"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10035",
"8613",
"9366",
"7653",
"10273",
"10036",
"8952",
"9767",
"10609",
"8090",
"10933",
"9077",
"10028",
"9509",
"7721",
"10472",
"3994",
"11523",
"9229",
"9226",
"7120",
"9913",
"9991",
"5528",
... | {
"recommended": [
"9077",
"10035",
"8613",
"9366",
"7653",
"10273",
"10036",
"8952",
"9767",
"10609"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10927",
"8904",
"8850",
"2037",
"9035",
"8715",
"9341",
"8801",
"10148",
"8621",
"8281",
"9712",
"10746",
"10132",
"6097",
"8985",
"9909",
"8382",
"10152",
"9110",
"6237",
"10794",
"8969",
"10100",
"... | {
"recommended": [
"6461",
"10927",
"8904",
"8850",
"2037",
"9035",
"8715",
"9341",
"8801",
"10148"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7847",
"5453",
"6192",
"1399",
"9146",
"5095",
"1741",
"6637",
"5416",
"2005",
"5597",
"9967",
"6174",
"5379",
"921",
"10875",
"6906",
"1454",
"1782",
"9046",
"6646",
"6841",
"3894",
"8052",
"689",
... | {
"recommended": [
"10464",
"7847",
"5453",
"6192",
"1399",
"9146",
"5095",
"1741",
"6637",
"5416"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7144",
"1121",
"7147",
"3509",
"9347",
"1385",
"9644",
"590",
"5455",
"1827",
"5756",
"8658",
"3233",
"6551",
"3349",
"2859",
"4745",
"5511",
"5749",
"2559",
"7398",
"7396",
"1392",
"1386",
"2025",
... | {
"recommended": [
"537",
"7144",
"1121",
"7147",
"3509",
"9347",
"1385",
"9644",
"590",
"5455"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"12086",
"11617",
"11952",
"11222",
"7849",
"12041",
"11705",
"11993",
"11045",
"10912",
"9322",
"11869",
"11965",
"11759",
"11953",
"11461",
"11976",
"11562",
"11112",
"12079",
"11814",
"12066",
"11961",
... | {
"recommended": [
"12066",
"12086",
"11617",
"11952",
"11222",
"7849",
"12041",
"11705",
"11993",
"11045"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9986",
"10882",
"10052",
"10216",
"10019",
"10196",
"9576",
"10111",
"9841",
"9109",
"9850",
"11215",
"9484",
"10008",
"10657",
"10931",
"8899",
"10350",
"8801",
"10009",
"10170",
"10156",
"9622",
"10119... | {
"recommended": [
"11600",
"9986",
"10882",
"10052",
"10216",
"10019",
"10196",
"9576",
"10111",
"9841"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3857",
"1800",
"1190",
"4096",
"8790",
"4866",
"11403",
"11761",
"10164",
"5180",
"185",
"4711",
"318",
"1633",
"9919",
"5344",
"3911",
"535",
"10755",
"1844",
"6442",
"2729",
"57",
"98",
"3003",
... | {
"recommended": [
"1854",
"3857",
"1800",
"1190",
"4096",
"8790",
"4866",
"11403",
"11761",
"10164"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2473",
"4644",
"9215",
"3681",
"4230",
"913",
"2764",
"8023",
"1694",
"5107",
"8244",
"338",
"6368",
"2972",
"3832",
"1715",
"6429",
"6265",
"7278",
"2648",
"5936",
"9513",
"1337",
"8673",
"6407",
... | {
"recommended": [
"10428",
"2473",
"4644",
"9215",
"3681",
"4230",
"913",
"2764",
"8023",
"1694"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8299",
"1228",
"6906",
"1728",
"2606",
"5462",
"4827",
"2583",
"3390",
"165",
"1245",
"3177",
"4866",
"9176",
"5522",
"2807",
"6105",
"10273",
"9530",
"4018",
"4838",
"5698",
"3222",
"9165",
"715",
... | {
"recommended": [
"8035",
"8299",
"1228",
"6906",
"1728",
"2606",
"5462",
"4827",
"2583",
"3390"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8703",
"1802",
"1979",
"6012",
"6192",
"5080",
"7571",
"3391",
"4409",
"4830",
"442",
"7475",
"7594",
"7418",
"8631",
"6775",
"2420",
"9211",
"5682",
"381",
"2904",
"4271",
"4705",
"3060",
"3975",
... | {
"recommended": [
"11060",
"8703",
"1802",
"1979",
"6012",
"6192",
"5080",
"7571",
"3391",
"4409"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8335",
"770",
"5929",
"3568",
"3171",
"8625",
"2867",
"7538",
"3900",
"2269",
"6318",
"8055",
"11388",
"5790",
"5012",
"297",
"10270",
"7399",
"3777",
"2267",
"5238",
"7218",
"567",
"5926",
"5793",
... | {
"recommended": [
"7218",
"8335",
"770",
"5929",
"3568",
"3171",
"8625",
"2867",
"7538",
"3900"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9500",
"8125",
"3210",
"3423",
"625",
"10440",
"10148",
"11017",
"3186",
"8851",
"3219",
"9677",
"8635",
"8193",
"2037",
"8647",
"11294",
"9909",
"8373",
"5341",
"8281",
"8776",
"11023",
"8435",
"975... | {
"recommended": [
"8647",
"9500",
"8125",
"3210",
"3423",
"625",
"10440",
"10148",
"11017",
"3186"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6372",
"9472",
"6507",
"6419",
"3589",
"6702",
"5308",
"9208",
"7469",
"4018",
"8478",
"3442",
"6833",
"1300",
"2513",
"8840",
"8534",
"298",
"4599",
"3975",
"8512",
"9329",
"7358",
"5528",
"738",
... | {
"recommended": [
"5188",
"6372",
"9472",
"6507",
"6419",
"3589",
"6702",
"5308",
"9208",
"7469"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10202",
"6876",
"8861",
"8432",
"9273",
"11310",
"1998",
"5110",
"8898",
"6727",
"9625",
"7636",
"748",
"8684",
"8131",
"11312",
"4020",
"8919",
"268",
"7295",
"10426",
"3691",
"5239",
"8348",
"6470"... | {
"recommended": [
"6946",
"10202",
"6876",
"8861",
"8432",
"9273",
"11310",
"1998",
"5110",
"8898"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10506",
"10538",
"9083",
"10696",
"10561",
"10918",
"10752",
"10669",
"10811",
"6613",
"216",
"10573",
"8644",
"10732",
"10568",
"10701",
"5470",
"10815",
"7105",
"917",
"10692",
"8676",
"3681",
"5294",
... | {
"recommended": [
"7512",
"10506",
"10538",
"9083",
"10696",
"10561",
"10918",
"10752",
"10669",
"10811"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10270",
"1915",
"10446",
"6399",
"1779",
"3909",
"6186",
"2800",
"8421",
"9366",
"7215",
"1321",
"9333",
"4210",
"7158",
"2285",
"10153",
"5936",
"6181",
"1912",
"3209",
"5407",
"9695",
"9787",
"7066... | {
"recommended": [
"1915",
"10270",
"10446",
"6399",
"1779",
"3909",
"6186",
"2800",
"8421",
"9366"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3794",
"6511",
"5695",
"3583",
"8045",
"4599",
"5005",
"3405",
"39",
"1772",
"2381",
"10270",
"40",
"381",
"6372",
"1190",
"5809",
"5677",
"4472",
"4058",
"8054",
"7979",
"4172",
"4650",
"2925",
... | {
"recommended": [
"2925",
"3794",
"6511",
"5695",
"3583",
"8045",
"4599",
"5005",
"3405",
"39"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2860",
"7082",
"2513",
"2807",
"6727",
"9943",
"3203",
"3015",
"5832",
"706",
"6434",
"5144",
"9908",
"11351",
"216",
"7333",
"8210",
"2319",
"6858",
"4185",
"10407",
"4347",
"10758",
"4984",
"3190",... | {
"recommended": [
"4187",
"2860",
"7082",
"2513",
"2807",
"6727",
"9943",
"3203",
"3015",
"5832"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6372",
"5790",
"8054",
"971",
"8335",
"6151",
"10755",
"8741",
"3003",
"3237",
"6454",
"9665",
"5926",
"5684",
"6321",
"6673",
"4311",
"9116",
"10101",
"292",
"4599",
"7876",
"2673",
"8267",
"9592",
... | {
"recommended": [
"6673",
"6372",
"5790",
"8054",
"971",
"8335",
"6151",
"10755",
"8741",
"3003"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8785",
"2935",
"3856",
"912",
"745",
"6391",
"3409",
"181",
"1510",
"6545",
"3053",
"4710",
"5357",
"10016",
"3862",
"159",
"51",
"3603",
"963",
"1282",
"7717",
"5900",
"2666",
"5677",
"4185",
"9... | {
"recommended": [
"8785",
"2935",
"3856",
"912",
"745",
"6391",
"3409",
"181",
"1510",
"6545"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"1802",
"592",
"2005",
"8442",
"9230",
"5279",
"11039",
"7200",
"595",
"6208",
"507",
"1885",
"4185",
"1349",
"8031",
"2084",
"2738",
"2243",
"1510",
"4666",
"3870",
"4331",
"7796",
"455",
"2092",
... | {
"recommended": [
"9035",
"1802",
"592",
"2005",
"8442",
"9230",
"5279",
"11039",
"7200",
"595"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11591",
"11844",
"11699",
"11201",
"11904",
"11801",
"12016",
"11831",
"11729",
"11883",
"12059",
"11797",
"4464",
"11652",
"11818",
"11898",
"11769",
"11529",
"11850",
"11777",
"8978",
"11176",
"11236",
... | {
"recommended": [
"11780",
"11591",
"11844",
"11699",
"11201",
"11904",
"11801",
"12016",
"11831",
"11729"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9744",
"9052",
"5677",
"7683",
"10950",
"2648",
"7913",
"5822",
"10839",
"8430",
"2973",
"5192",
"3710",
"5517",
"8094",
"11160",
"9932",
"7965",
"5878",
"8313",
"10270",
"1287",
"8681",
"2805",
"881... | {
"recommended": [
"10950",
"9744",
"9052",
"5677",
"7683",
"2648",
"7913",
"5822",
"10839",
"8430"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"4888",
"5781",
"10088",
"479",
"7075",
"1994",
"11529",
"2562",
"7459",
"9472",
"11051",
"4492",
"8256",
"7895",
"9919",
"10442",
"10253",
"6164",
"9920",
"11085",
"5095",
"4513",
"8351",
"6966",
"10... | {
"recommended": [
"454",
"4888",
"5781",
"10088",
"479",
"7075",
"1994",
"11529",
"2562",
"7459"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10528",
"9943",
"9085",
"9102",
"10846",
"5627",
"6734",
"10702",
"4439",
"10694",
"7508",
"10573",
"10572",
"7096",
"8560",
"7847",
"10827",
"10442",
"10477",
"8267",
"10601",
"3294",
"8562",
"10481",
... | {
"recommended": [
"3279",
"10528",
"9943",
"9085",
"9102",
"10846",
"5627",
"6734",
"10702",
"4439"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3571",
"8096",
"6454",
"7469",
"9920",
"298",
"8662",
"2772",
"5011",
"10755",
"6589",
"6452",
"8517",
"567",
"4830",
"9539",
"9600",
"10634",
"7047",
"8592",
"8162",
"7420",
"2319",
"2800",
"5106",
... | {
"recommended": [
"9380",
"3571",
"8096",
"6454",
"7469",
"9920",
"298",
"8662",
"2772",
"5011"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2652",
"333",
"455",
"5382",
"4238",
"1139",
"1819",
"5677",
"9717",
"8534",
"3358",
"9207",
"3589",
"1939",
"6534",
"8646",
"6727",
"379",
"340",
"6193",
"1510",
"8709",
"1875",
"9517",
"2005",
... | {
"recommended": [
"1875",
"2652",
"333",
"455",
"5382",
"4238",
"1139",
"1819",
"5677",
"9717"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9196",
"754",
"3864",
"1521",
"9561",
"7280",
"5140",
"8178",
"96",
"3856",
"8038",
"7270",
"5321",
"2987",
"1282",
"2606",
"7835",
"5050",
"2648",
"5551",
"4341",
"9123",
"1321",
"9728",
"2423",
... | {
"recommended": [
"9196",
"754",
"3864",
"1521",
"9561",
"7280",
"5140",
"8178",
"96",
"3856"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7847",
"11396",
"4185",
"9691",
"2646",
"1365",
"4746",
"2709",
"159",
"3947",
"2915",
"44",
"6727",
"8044",
"7075",
"6406",
"6850",
"1119",
"3075",
"4271",
"5627",
"7295",
"5853",
"2346",
"10016",
... | {
"recommended": [
"10016",
"7847",
"11396",
"4185",
"9691",
"2646",
"1365",
"4746",
"2709",
"159"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11811",
"11770",
"11778",
"11710",
"11782",
"11762",
"11712",
"11876",
"5781",
"11711",
"11880",
"11731",
"11785",
"11515",
"11341",
"11652",
"11619",
"11801",
"11771",
"11176",
"11565",
"11699",
"11879",
... | {
"recommended": [
"12033",
"11811",
"11770",
"11778",
"11710",
"11782",
"11762",
"11712",
"11876",
"5781"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"4885",
"4559",
"9423",
"9366",
"1613",
"8287",
"2010",
"9581",
"4465",
"10755",
"4467",
"8748",
"5926",
"3479",
"4881",
"1321",
"11452",
"2987",
"6530",
"9407",
"7232",
"7305",
"7217",
"9607",
"7351"... | {
"recommended": [
"6743",
"4885",
"4559",
"9423",
"9366",
"1613",
"8287",
"2010",
"9581",
"4465"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9",
"1519",
"2770",
"2141",
"1321",
"4558",
"2360",
"1952",
"7039",
"1120",
"1510",
"8042",
"11403",
"5146",
"9309",
"4317",
"10399",
"2244",
"666",
"4603",
"2852",
"5462",
"769",
"164",
"587",
"... | {
"recommended": [
"9309",
"9",
"1519",
"2770",
"2141",
"1321",
"4558",
"2360",
"1952",
"7039"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10810",
"2619",
"10384",
"917",
"2618",
"10373",
"10706",
"10789",
"10303",
"8562",
"8558",
"10695",
"10561",
"5293",
"8727",
"9082",
"10300",
"10567",
"10564",
"10707",
"10200",
"10763",
"10815",
"10984... | {
"recommended": [
"11767",
"10810",
"2619",
"10384",
"917",
"2618",
"10373",
"10706",
"10789",
"10303"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11535",
"11775",
"4471",
"11796",
"11771",
"11901",
"11759",
"11801",
"11782",
"11767",
"11712",
"11883",
"11899",
"11652",
"11701",
"11805",
"11897",
"11711",
"8979",
"11763",
"11768",
"11818",
"11710",
... | {
"recommended": [
"11710",
"11535",
"11775",
"4471",
"11796",
"11771",
"11901",
"11759",
"11801",
"11782"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"599",
"5382",
"7351",
"940",
"8409",
"11667",
"2030",
"3358",
"7366",
"1255",
"7595",
"9200",
"6534",
"7075",
"7044",
"3944",
"2299",
"6320",
"3298",
"2648",
"6088",
"3390",
"10442",
"9533",
"8790",
... | {
"recommended": [
"9728",
"599",
"5382",
"7351",
"940",
"8409",
"11667",
"2030",
"3358",
"7366"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6370",
"6077",
"7218",
"4647",
"2975",
"10393",
"2319",
"11686",
"331",
"1694",
"8256",
"4748",
"4735",
"1245",
"3994",
"8351",
"94",
"1912",
"2420",
"10407",
"442",
"362",
"972",
"8103",
"8646",
... | {
"recommended": [
"5245",
"6370",
"6077",
"7218",
"4647",
"2975",
"10393",
"2319",
"11686",
"331"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7754",
"9634",
"10028",
"9530",
"8705",
"7977",
"8642",
"9637",
"11188",
"7763",
"10338",
"3884",
"9100",
"8818",
"7696",
"8701",
"10337",
"10514",
"10512",
"9197",
"7170",
"6309",
"8596",
"8802",
"1... | {
"recommended": [
"10512",
"7754",
"9634",
"10028",
"9530",
"8705",
"7977",
"8642",
"9637",
"11188"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9066",
"8824",
"10218",
"7121",
"10061",
"9205",
"2054",
"4211",
"9184",
"5043",
"5037",
"8899",
"7488",
"9200",
"8043",
"4909",
"9369",
"7976",
"9509",
"2484",
"10077",
"5141",
"6500",
"9581",
"1773... | {
"recommended": [
"3691",
"9066",
"8824",
"10218",
"7121",
"10061",
"9205",
"2054",
"4211",
"9184"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2807",
"5421",
"1670",
"2001",
"3264",
"3060",
"5551",
"5410",
"3572",
"2803",
"2200",
"1165",
"1240",
"4505",
"7057",
"1808",
"2029",
"1840",
"560",
"2770",
"4324",
"445",
"6260",
"2041",
"1518",
... | {
"recommended": [
"8313",
"2807",
"5421",
"1670",
"2001",
"3264",
"3060",
"5551",
"5410",
"3572"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11418",
"9895",
"11017",
"11411",
"7489",
"10144",
"10802",
"11294",
"9037",
"9712",
"10579",
"6344",
"8633",
"9909",
"8518",
"5618",
"9043",
"10173",
"8906",
"11249",
"10587",
"10857",
"9038",
"7566",
... | {
"recommended": [
"10740",
"11418",
"9895",
"11017",
"11411",
"7489",
"10144",
"10802",
"11294",
"9037"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9790",
"5171",
"6283",
"1518",
"2322",
"2770",
"8592",
"738",
"390",
"5546",
"412",
"1255",
"1521",
"6192",
"3455",
"10870",
"3183",
"4462",
"5280",
"306",
"7416",
"4916",
"7475",
"6699",
"2184",
... | {
"recommended": [
"10442",
"9790",
"5171",
"6283",
"1518",
"2322",
"2770",
"8592",
"738",
"390"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11974",
"11895",
"11602",
"12000",
"12013",
"11978",
"11973",
"11819",
"11873",
"11988",
"11253",
"12012",
"12038",
"11630",
"11126",
"11260",
"11996",
"11959",
"11280",
"9347",
"12032",
"12071",
"12062",
... | {
"recommended": [
"6733",
"11974",
"11895",
"11602",
"12000",
"12013",
"11978",
"11973",
"11819",
"11873"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11825",
"11679",
"11198",
"11771",
"11820",
"11879",
"11768",
"11767",
"11653",
"11772",
"11728",
"11622",
"11801",
"11944",
"11901",
"11931",
"11714",
"11805",
"11565",
"11715",
"11712",
"11898",
"11945",
... | {
"recommended": [
"11712",
"11825",
"11679",
"11198",
"11771",
"11820",
"11879",
"11768",
"11767",
"11653"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5225",
"6294",
"8616",
"5427",
"3684",
"11385",
"8936",
"10713",
"8311",
"7912",
"4277",
"8421",
"8707",
"8092",
"8256",
"7409",
"2186",
"10208",
"8869",
"388",
"7669",
"6927",
"4317",
"3526",
"8403"... | {
"recommended": [
"11385",
"5225",
"6294",
"8616",
"5427",
"3684",
"8936",
"10713",
"8311",
"7912"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6988",
"8583",
"8403",
"6613",
"11034",
"5378",
"5468",
"6841",
"5200",
"7091",
"1902",
"3051",
"9123",
"7566",
"10477",
"1460",
"11222",
"10839",
"6312",
"3743",
"3237",
"149",
"5152",
"9283",
"331"... | {
"recommended": [
"3743",
"6988",
"8583",
"8403",
"6613",
"11034",
"5378",
"5468",
"6841",
"5200"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9990",
"7215",
"9109",
"8721",
"10052",
"10882",
"9369",
"8744",
"6410",
"8968",
"8722",
"8508",
"8872",
"8967",
"8136",
"8651",
"2657",
"8824",
"7580",
"5098",
"7168",
"11276",
"10755",
"8507",
"964... | {
"recommended": [
"9767",
"9990",
"7215",
"9109",
"8721",
"10052",
"10882",
"9369",
"8744",
"6410"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3879",
"2323",
"3952",
"4681",
"7662",
"3297",
"4863",
"5983",
"592",
"5612",
"3143",
"1413",
"4271",
"1488",
"3914",
"161",
"5682",
"2800",
"3237",
"362",
"4232",
"3788",
"1245",
"4306",
"6359",
... | {
"recommended": [
"4654",
"3879",
"2323",
"3952",
"4681",
"7662",
"3297",
"4863",
"5983",
"592"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8018",
"8490",
"10635",
"5522",
"9936",
"9962",
"7648",
"8611",
"8499",
"9562",
"4647",
"9154",
"8502",
"9639",
"8201",
"4795",
"10043",
"10279",
"8497",
"10512",
"8816",
"10042",
"4735",
"8480",
"84... | {
"recommended": [
"6402",
"8018",
"8490",
"10635",
"5522",
"9936",
"9962",
"7648",
"8611",
"8499"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7419",
"6450",
"2061",
"2184",
"4672",
"9921",
"3579",
"6597",
"3508",
"6192",
"2299",
"6581",
"164",
"8416",
"537",
"1423",
"6860",
"9172",
"2745",
"2501",
"338",
"3897",
"4505",
"8936",
"4683",
... | {
"recommended": [
"9921",
"7419",
"6450",
"2061",
"2184",
"4672",
"3579",
"6597",
"3508",
"6192"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"4465",
"4929",
"4932",
"6288",
"7591",
"8086",
"8326",
"1215",
"9431",
"5776",
"7646",
"2720",
"10650",
"7561",
"8680",
"6632",
"7849",
"5427",
"849",
"8601",
"8698",
"2788",
"6325",
"2987",
"4277",
... | {
"recommended": [
"11784",
"4465",
"4929",
"4932",
"6288",
"7591",
"8086",
"8326",
"1215",
"9431"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2364",
"5382",
"6545",
"98",
"2709",
"10086",
"4984",
"2276",
"5165",
"7719",
"268",
"8313",
"839",
"3862",
"7087",
"4205",
"7011",
"706",
"4355",
"7680",
"9306",
"6422",
"840",
"2319",
"5273",
"... | {
"recommended": [
"6138",
"2364",
"5382",
"6545",
"98",
"2709",
"10086",
"4984",
"2276",
"5165"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3794",
"4060",
"10292",
"7467",
"4185",
"10273",
"5296",
"7371",
"9255",
"3281",
"1694",
"5055",
"4908",
"4735",
"3549",
"96",
"7001",
"4626",
"6534",
"6753",
"983",
"838",
"4087",
"6030",
"1675",
... | {
"recommended": [
"8300",
"3794",
"4060",
"10292",
"7467",
"4185",
"10273",
"5296",
"7371",
"9255"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"1997",
"317",
"362",
"98",
"1854",
"1190",
"6552",
"592",
"1979",
"1487",
"357",
"309",
"4230",
"3039",
"3622",
"6589",
"4662",
"2429",
"331",
"4231",
"2761",
"1521",
"1372",
"4023",
"139",
"207"... | {
"recommended": [
"7689",
"1997",
"317",
"362",
"98",
"1854",
"1190",
"6552",
"592",
"1979"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9051",
"745",
"6203",
"1030",
"4355",
"4205",
"985",
"2913",
"6840",
"8159",
"7102",
"4090",
"688",
"268",
"2165",
"7327",
"11222",
"1902",
"5600",
"8218",
"8678",
"3856",
"5344",
"5296",
"9799",
... | {
"recommended": [
"5881",
"9051",
"745",
"6203",
"1030",
"4355",
"4205",
"985",
"2913",
"6840"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10388",
"11762",
"10164",
"10706",
"10710",
"10775",
"10732",
"10816",
"10812",
"10670",
"10572",
"10897",
"9086",
"10565",
"10696",
"10844",
"10480",
"10808",
"10376",
"4485",
"9083",
"3714",
"10693",
"... | {
"recommended": [
"10696",
"10388",
"11762",
"10164",
"10706",
"10710",
"10775",
"10732",
"10816",
"10812"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"1756",
"2646",
"2161",
"9219",
"9152",
"5936",
"7821",
"7847",
"1255",
"6910",
"7467",
"9472",
"5776",
"5107",
"8256",
"6179",
"4329",
"11190",
"3060",
"8646",
"3208",
"8313",
"11511",
"10270",
"9195... | {
"recommended": [
"1213",
"1756",
"2646",
"2161",
"9219",
"9152",
"5936",
"7821",
"7847",
"1255"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5522",
"454",
"8491",
"2472",
"3281",
"6850",
"4118",
"7352",
"8256",
"4109",
"7419",
"9208",
"8534",
"4465",
"5920",
"7697",
"8818",
"2319",
"5843",
"5249",
"7009",
"9084",
"41",
"159",
"7469",
... | {
"recommended": [
"10384",
"5522",
"454",
"8491",
"2472",
"3281",
"6850",
"4118",
"7352",
"8256"
]
} |
Recommend ten beauty products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8071",
"6465",
"10416",
"6363",
"9847",
"6616",
"1716",
"10202",
"8346",
"6461",
"7617",
"11310",
"9366",
"6464",
"8737",
"6450",
"3941",
"5666",
"7478",
"6458",
"6486",
"10520",
"7483",
"8913",
"104... | {
"recommended": [
"11922",
"8071",
"6465",
"10416",
"6363",
"9847",
"6616",
"1716",
"10202",
"8346"
]
} |
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