instruction stringclasses 1
value | input dict | output dict |
|---|---|---|
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8491",
"2878",
"6373",
"10233",
"8030",
"4275",
"4547",
"9088",
"2093",
"6302",
"2516",
"6080",
"5333",
"6118",
"7677",
"1765",
"9537",
"2042",
"5948",
"5459",
"6550",
"5436",
"4744",
"9236",
"10741"... | {
"recommended": [
"9132",
"5972",
"5436",
"3647",
"4547",
"1765",
"5459",
"4777",
"6223",
"6080"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9502",
"10803",
"11100",
"11459",
"10904",
"10998",
"10885",
"10774",
"9346",
"8809",
"11615",
"10999",
"9846",
"9495",
"11005",
"10892",
"9503",
"11362",
"10802",
"11008",
"10525",
"10691",
"9505",
"951... | {
"recommended": [
"10916",
"10894",
"9074",
"11100",
"9495",
"10998",
"10802",
"11719",
"11681",
"10691"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"25",
"4231",
"3519",
"5992",
"3783",
"11807",
"3142",
"6933",
"1793",
"5440",
"4092",
"5581",
"5042",
"3689",
"7834",
"6464",
"8921",
"10412",
"7946",
"302",
"2090",
"807",
"7249",
"6275",
"169",
... | {
"recommended": [
"8921",
"2310",
"11807",
"6397",
"3783",
"7946",
"4832",
"4227",
"1793",
"3735"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7929",
"9342",
"10470",
"306",
"11270",
"11386",
"11118",
"11373",
"11100",
"25",
"11480",
"11142",
"9025",
"11432",
"7416",
"11121",
"7649",
"10159",
"5041",
"11404",
"11360",
"11387",
"4547",
"11627",
... | {
"recommended": [
"306",
"7416",
"25",
"11327",
"11349",
"11387",
"11555",
"11272",
"11218",
"10159"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9908",
"6933",
"11752",
"7950",
"11703",
"9369",
"11280",
"6749",
"11387",
"8645",
"10968",
"6893",
"11270",
"11172",
"11493",
"6276",
"7961",
"7219",
"7959",
"6453",
"8738",
"7942",
"11404",
"8917",
... | {
"recommended": [
"10968",
"9369",
"7950",
"9869",
"8088",
"7958",
"7959",
"6276",
"7948",
"11401"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9462",
"8756",
"9864",
"286",
"1124",
"6010",
"10866",
"5826",
"2166",
"6551",
"1562",
"7172",
"8126",
"6618",
"6586",
"586",
"2291",
"8661",
"365",
"8647",
"6138",
"2615",
"7928",
"2296",
"2809",
... | {
"recommended": [
"7172",
"10713",
"6949",
"7429",
"2615",
"3286",
"1562",
"2166",
"582",
"2291"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2615",
"5440",
"2576",
"5519",
"7333",
"1677",
"3360",
"7186",
"8837",
"2546",
"7009",
"9394",
"1865",
"2150",
"7436",
"11198",
"356",
"3099",
"9175",
"2823",
"3605",
"7140",
"597",
"6475",
"4877",
... | {
"recommended": [
"3360",
"2213",
"1677",
"5624",
"1865",
"356",
"6426",
"4668",
"7140",
"7186"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"1930",
"10581",
"6618",
"4219",
"3589",
"8126",
"5015",
"29",
"2615",
"2288",
"3862",
"586",
"895",
"356",
"3642",
"2434",
"7684",
"2867",
"2836",
"286",
"6513",
"3696",
"1351",
"6537",
"3961",
"... | {
"recommended": [
"10734",
"10713",
"1346",
"895",
"1171",
"2209",
"10866",
"286",
"6945",
"2615"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9430",
"8102",
"9593",
"10923",
"8048",
"9644",
"10862",
"4397",
"7247",
"9573",
"11666",
"10442",
"7647",
"9153",
"4831",
"10373",
"8378",
"11596",
"11386",
"7514",
"9557",
"10781",
"5651",
"9249",
... | {
"recommended": [
"9658",
"9643",
"10373",
"5308",
"6007",
"5651",
"6159",
"10923",
"8102",
"7514"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11404",
"10871",
"10899",
"11687",
"11272",
"11301",
"11708",
"11297",
"11373",
"11721",
"11000",
"7929",
"8997",
"11100",
"11367",
"11629",
"10999",
"10909",
"11405",
"10914",
"9505",
"10885",
"8416",
"... | {
"recommended": [
"391",
"11342",
"10999",
"10899",
"10690",
"11405",
"11373",
"11362",
"11726",
"11121"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6358",
"9235",
"1811",
"8899",
"4254",
"4729",
"3862",
"1828",
"556",
"9689",
"2417",
"10623",
"5332",
"7822",
"954",
"2701",
"5015",
"8754",
"3859",
"8126",
"4561",
"1117",
"905",
"2483",
"6381",
... | {
"recommended": [
"7006",
"6918",
"3861",
"2994",
"1811",
"8132",
"5332",
"6358",
"1919",
"7395"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10418",
"7249",
"11082",
"10900",
"1836",
"9135",
"5992",
"9238",
"9205",
"9232",
"8921",
"11499",
"7384",
"10984",
"10712",
"10156",
"10325",
"10684",
"11164",
"7631",
"11422",
"10229",
"10171",
"10730"... | {
"recommended": [
"11422",
"10325",
"9202",
"10632",
"10418",
"7631",
"10229",
"6572",
"11499",
"5992"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7248",
"8253",
"4729",
"9292",
"9644",
"9230",
"5808",
"6218",
"8935",
"5451",
"4458",
"5299",
"10339",
"6618",
"1194",
"5364",
"8127",
"2605",
"7383",
"7530",
"5670",
"10866",
"9231",
"8448",
"5635"... | {
"recommended": [
"4458",
"7381",
"2605",
"7569",
"1194",
"4729",
"9230",
"10866",
"9231",
"9235"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"137",
"3790",
"4610",
"7503",
"8383",
"2268",
"4345",
"3363",
"131",
"4832",
"5625",
"184",
"7834",
"80",
"133",
"1490",
"128",
"11664",
"76",
"25",
"3672",
"4590",
"7249",
"1224",
"9660",
"168",... | {
"recommended": [
"11730",
"25",
"807",
"102",
"8383",
"128",
"1662",
"4832",
"76",
"137"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7040",
"4436",
"4222",
"8159",
"1929",
"1525",
"5666",
"6632",
"4924",
"2537",
"2182",
"4130",
"2578",
"4707",
"9027",
"6084",
"2671",
"4127",
"3968",
"4782",
"356",
"2859",
"5078",
"1583",
"3073",
... | {
"recommended": [
"6632",
"782",
"700",
"10073",
"2541",
"2542",
"4436",
"2182",
"4782",
"6084"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9768",
"8314",
"7151",
"8312",
"9436",
"8313",
"9445",
"8306",
"8311",
"10395",
"8305",
"7552",
"10344",
"9403",
"8307",
"9401",
"9171",
"9402",
"10245",
"10101",
"10240",
"5807",
"8310",
"8315",
"83... | {
"recommended": [
"6719",
"8259",
"9768",
"9400",
"8349",
"8313",
"10344",
"9399",
"8305",
"8315"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5783",
"1160",
"9339",
"8820",
"9275",
"9285",
"8771",
"3898",
"438",
"4225",
"8320",
"4610",
"7748",
"6307",
"7541",
"1600",
"9990",
"9583",
"8485",
"8482",
"8494",
"6873",
"8597",
"8481",
"8189",
... | {
"recommended": [
"2913",
"8013",
"8468",
"8498",
"8479",
"8597",
"8494",
"7882",
"6973",
"8320"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11221",
"3036",
"11340",
"10264",
"11270",
"8758",
"11169",
"11027",
"11028",
"10561",
"10924",
"11213",
"11134",
"9462",
"11236",
"10690",
"11349",
"10515",
"10379",
"11627",
"10607",
"3693",
"10499",
"... | {
"recommended": [
"3693",
"8718",
"11349",
"11059",
"10508",
"10607",
"11221",
"11002",
"10379",
"9135"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3519",
"5963",
"1223",
"11340",
"8072",
"8884",
"9363",
"444",
"6060",
"5212",
"6121",
"11027",
"9135",
"10741",
"8245",
"6112",
"5635",
"2221",
"8166",
"8975",
"8839",
"3131",
"6402",
"6616",
"9205"... | {
"recommended": [
"8321",
"6402",
"4707",
"9202",
"6521",
"2422",
"9277",
"3131",
"444",
"1223"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7371",
"4547",
"3506",
"6262",
"9175",
"3352",
"5718",
"3944",
"8032",
"4602",
"7000",
"5442",
"3132",
"6999",
"4436",
"4959",
"3505",
"3436",
"1800",
"4391",
"5717",
"4643",
"4877",
"2042",
"4134",
... | {
"recommended": [
"5442",
"5719",
"4959",
"3436",
"7000",
"5717",
"3604",
"9462",
"2845",
"4602"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"59",
"4264",
"6475",
"2994",
"1521",
"9734",
"3983",
"1803",
"1655",
"3652",
"6218",
"1948",
"5410",
"4707",
"4046",
"4260",
"3086",
"6480",
"1609",
"2541",
"5415",
"2182",
"620",
"3629",
"1136",
... | {
"recommended": [
"5415",
"2918",
"3086",
"9734",
"1609",
"4264",
"4838",
"6223",
"4775",
"1521"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9975",
"8340",
"4272",
"8786",
"9537",
"7514",
"9062",
"6374",
"9059",
"9730",
"8627",
"6316",
"6245",
"9462",
"5384",
"9311",
"8775",
"9363",
"9961",
"8458",
"8753",
"9360",
"8296",
"9461",
"9301",
... | {
"recommended": [
"9086",
"9061",
"9084",
"9443",
"8930",
"4272",
"8442",
"9059",
"9124",
"9975"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8573",
"7123",
"3143",
"8896",
"1609",
"9135",
"8918",
"5061",
"4154",
"7778",
"356",
"6222",
"8568",
"3352",
"6427",
"4127",
"10984",
"4167",
"8586",
"3743",
"6856",
"8095",
"9005",
"2836",
"4834",
... | {
"recommended": [
"10984",
"6427",
"1609",
"8565",
"10311",
"8586",
"8918",
"8896",
"9005",
"1375"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"1887",
"4389",
"1538",
"4023",
"5451",
"2413",
"3049",
"10670",
"1881",
"2085",
"1585",
"1827",
"3711",
"2326",
"1265",
"5400",
"2820",
"893",
"11405",
"3763",
"1375",
"1805",
"2020",
"3735",
"2166",... | {
"recommended": [
"6010",
"1805",
"9931",
"2166",
"1538",
"3735",
"893",
"3983",
"2033",
"8566"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10843",
"658",
"9579",
"10406",
"11232",
"10983",
"11006",
"11306",
"9462",
"11026",
"8524",
"10382",
"10889",
"11061",
"1230",
"184",
"11059",
"10785",
"4877",
"10378",
"10507",
"10584",
"10561",
"10982... | {
"recommended": [
"9920",
"8529",
"11026",
"10406",
"11059",
"8565",
"10843",
"11006",
"10983",
"8846"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5321",
"6060",
"8934",
"1930",
"6979",
"8674",
"6223",
"10080",
"9384",
"7670",
"4260",
"8891",
"6550",
"8753",
"9235",
"8910",
"10229",
"8030",
"7346",
"7384",
"8939",
"10984",
"9232",
"7230",
"7388... | {
"recommended": [
"4949",
"7020",
"8447",
"8934",
"10984",
"8939",
"8674",
"7384",
"8697",
"7346"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3503",
"5011",
"7979",
"340",
"561",
"908",
"4813",
"356",
"943",
"4766",
"4921",
"3206",
"7716",
"5278",
"2964",
"7436",
"8595",
"5260",
"2172",
"944",
"1929",
"8929",
"4918",
"803",
"2129",
"54... | {
"recommended": [
"7979",
"4766",
"944",
"335",
"5011",
"5188",
"561",
"1628",
"5260",
"1319"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8044",
"9001",
"9021",
"7712",
"10213",
"8997",
"5437",
"11213",
"6912",
"7864",
"9005",
"10741",
"10200",
"8928",
"11062",
"10150",
"7436",
"6092",
"4829",
"7836",
"10417",
"10217",
"8073",
"6397",
... | {
"recommended": [
"3166",
"9249",
"9171",
"10812",
"9005",
"7712",
"10217",
"9001",
"5437",
"9407"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6203",
"7123",
"8055",
"5459",
"4632",
"8362",
"4877",
"4072",
"3471",
"5336",
"5239",
"4380",
"7563",
"4567",
"8045",
"9827",
"2971",
"6369",
"6605",
"3269",
"7429",
"3175",
"1589",
"3976",
"8147",
... | {
"recommended": [
"990",
"4537",
"328",
"7123",
"6627",
"6092",
"3269",
"3175",
"3471",
"9827"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"998",
"1050",
"343",
"553",
"650",
"1211",
"1053",
"534",
"668",
"965",
"1631",
"1817",
"724",
"682",
"713",
"423",
"743",
"790",
"316",
"761",
"822",
"627",
"733",
"1006",
"587",
"1242",
"39... | {
"recommended": [
"998",
"343",
"1854",
"530",
"733",
"941",
"534",
"396",
"327",
"1898"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"4832",
"3092",
"26",
"6678",
"13",
"150",
"7339",
"7833",
"7503",
"9780",
"6473",
"6146",
"6416",
"112",
"152",
"51",
"5951",
"5783",
"70",
"9619",
"146",
"113",
"67",
"8383",
"10293",
"621",
... | {
"recommended": [
"6146",
"7930",
"7709",
"6307",
"8383",
"150",
"102",
"10046",
"5625",
"26"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"798",
"2086",
"1644",
"1920",
"3119",
"809",
"1628",
"3208",
"841",
"2970",
"4184",
"1234",
"1899",
"1129",
"2312",
"5312",
"405",
"2060",
"2085",
"3862",
"406",
"286",
"2845",
"400",
"177",
"771... | {
"recommended": [
"5312",
"405",
"956",
"1743",
"400",
"809",
"175",
"1628",
"286",
"665"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"241",
"1715",
"782",
"8540",
"8034",
"7687",
"8044",
"2607",
"8063",
"5135",
"809",
"11044",
"1423",
"1538",
"4707",
"9952",
"4255",
"5364",
"356",
"1488",
"6261",
"277",
"8817",
"6703",
"3225",
... | {
"recommended": [
"8922",
"8034",
"241",
"8044",
"4707",
"9952",
"1594",
"1171",
"8520",
"4390"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11512",
"11505",
"11674",
"10718",
"11676",
"11818",
"11349",
"10959",
"11576",
"11831",
"11698",
"11513",
"11703",
"11640",
"11477",
"11689",
"11534",
"11658",
"11506",
"7989",
"11654",
"11511",
"11404",
... | {
"recommended": [
"7989",
"11513",
"11640",
"10959",
"11508",
"11677",
"11689",
"11739",
"11641",
"11505"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10851",
"10446",
"11130",
"11782",
"11174",
"8909",
"11001",
"9124",
"10069",
"11219",
"11465",
"11824",
"10924",
"11133",
"10922",
"10693",
"9882",
"10990",
"11306",
"2695",
"10963",
"10371",
"10512",
"... | {
"recommended": [
"11824",
"10446",
"11001",
"9882",
"10990",
"10887",
"11093",
"10512",
"11071",
"10295"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2166",
"5572",
"10427",
"11671",
"11893",
"11234",
"1693",
"10499",
"8897",
"6565",
"11068",
"8536",
"6548",
"10759",
"10561",
"5947",
"11675",
"10690",
"2954",
"7250",
"11079",
"2546",
"10972",
"374",
... | {
"recommended": [
"11888",
"6565",
"10759",
"11169",
"8797",
"8897",
"10785",
"1693",
"6548",
"11340"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"665",
"3980",
"1735",
"2716",
"905",
"5714",
"6055",
"5107",
"4353",
"780",
"7424",
"2034",
"4244",
"1931",
"3273",
"2962",
"2417",
"4715",
"7687",
"809",
"1890",
"692",
"3742",
"597",
"2030",
"3... | {
"recommended": [
"3273",
"2030",
"3652",
"1829",
"905",
"5107",
"2925",
"7424",
"1313",
"665"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9339",
"7540",
"6191",
"6839",
"8485",
"11097",
"6973",
"9418",
"10587",
"8500",
"10175",
"10381",
"10895",
"5001",
"9106",
"9278",
"8244",
"5969",
"6597",
"1141",
"10594",
"11189",
"9990",
"1600",
"... | {
"recommended": [
"7249",
"9106",
"438",
"917",
"9990",
"10594",
"8500",
"8488",
"8494",
"10870"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9104",
"9788",
"11254",
"8476",
"11425",
"166",
"9595",
"7351",
"6820",
"10048",
"4013",
"10634",
"8142",
"9297",
"9787",
"6863",
"6657",
"9553",
"7403",
"8722",
"6024",
"9298",
"11427",
"6083",
"792... | {
"recommended": [
"11424",
"10634",
"9595",
"9298",
"6879",
"6820",
"11634",
"8722",
"166",
"11425"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10182",
"10065",
"9039",
"11362",
"11047",
"10554",
"11615",
"8159",
"8279",
"10538",
"11432",
"10450",
"11118",
"10193",
"10217",
"11238",
"10796",
"11088",
"10848",
"11046",
"10410",
"10061",
"10213",
... | {
"recommended": [
"10538",
"10186",
"10904",
"10087",
"10217",
"11272",
"7249",
"11030",
"10156",
"7864"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10380",
"10896",
"11002",
"9975",
"9591",
"9193",
"9648",
"10428",
"6200",
"11135",
"10670",
"10521",
"10700",
"11061",
"11343",
"10985",
"10632",
"10922",
"10715",
"10918",
"2845",
"11294",
"9236",
"111... | {
"recommended": [
"3982",
"10984",
"1987",
"10851",
"10632",
"10428",
"9236",
"10924",
"11082",
"9193"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8240",
"9363",
"6715",
"7979",
"5078",
"8925",
"7873",
"8503",
"10936",
"9066",
"8821",
"7595",
"1836",
"4877",
"3668",
"6837",
"7592",
"9019",
"3445",
"6346",
"3402",
"9272",
"9276",
"9097",
"9165",... | {
"recommended": [
"4946",
"7592",
"7247",
"8855",
"9272",
"3668",
"8997",
"5078",
"6245",
"4877"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9693",
"10097",
"9656",
"11474",
"11034",
"10806",
"10563",
"10777",
"10774",
"10691",
"10288",
"9987",
"10042",
"11550",
"8830",
"11649",
"11011",
"11580",
"10301",
"8829",
"11038",
"4723",
"11755",
"10... | {
"recommended": [
"11070",
"10098",
"11550",
"11011",
"10301",
"9987",
"10806",
"10777",
"10042",
"10776"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"809",
"597",
"3597",
"6992",
"2460",
"1594",
"5249",
"3559",
"2436",
"662",
"2429",
"2129",
"2683",
"4547",
"3074",
"782",
"7131",
"1423",
"2123",
"1529",
"8516",
"459",
"356",
"1982",
"4877",
"4... | {
"recommended": [
"1423",
"174",
"2123",
"3735",
"2398",
"1842",
"459",
"2430",
"5459",
"2042"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7120",
"3936",
"6283",
"11386",
"5505",
"1772",
"9685",
"11001",
"8340",
"8433",
"9003",
"11482",
"3476",
"3589",
"2677",
"2052",
"5639",
"8715",
"5811",
"8171",
"6914",
"6139",
"2872",
"8643",
"5921... | {
"recommended": [
"5811",
"4504",
"2677",
"5518",
"2872",
"9685",
"6276",
"11288",
"6275",
"6615"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8751",
"9363",
"8974",
"8900",
"7109",
"9231",
"9679",
"7979",
"9230",
"8283",
"4707",
"7497",
"7708",
"7298",
"8775",
"9277",
"1293",
"9235",
"9365",
"8226",
"9461",
"8284",
"9462",
"8106",
"9320",
... | {
"recommended": [
"7746",
"6804",
"4707",
"8775",
"7109",
"9235",
"9230",
"5479",
"8886",
"9311"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9696",
"10352",
"9728",
"10508",
"11703",
"10504",
"11516",
"11818",
"11019",
"10561",
"10690",
"10589",
"11246",
"11576",
"11250",
"10402",
"10834",
"10584",
"10444",
"11672",
"10515",
"10718",
"10505",
... | {
"recommended": [
"10589",
"10690",
"11053",
"10496",
"11654",
"11350",
"10515",
"11641",
"11831",
"11576"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7361",
"5739",
"5505",
"5427",
"7654",
"5146",
"5364",
"5367",
"7722",
"7298",
"2182",
"7746",
"5450",
"5305",
"6259",
"1216",
"7273",
"4390",
"7349",
"4547",
"4668",
"5508",
"7238",
"7748",
"5507",
... | {
"recommended": [
"6114",
"5831",
"7298",
"5146",
"5305",
"7073",
"5611",
"7654",
"7175",
"5505"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8975",
"3597",
"3301",
"5505",
"1713",
"2042",
"4028",
"25",
"8594",
"2366",
"176",
"5644",
"8608",
"3782",
"482",
"3790",
"251",
"5042",
"262",
"177",
"1388",
"870",
"6503",
"8517",
"5249",
"350... | {
"recommended": [
"10747",
"2366",
"1388",
"674",
"7308",
"1434",
"3301",
"482",
"5061",
"176"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5594",
"5188",
"8478",
"10013",
"5071",
"9308",
"10329",
"419",
"10221",
"1754",
"1002",
"6996",
"9891",
"10412",
"4422",
"1660",
"1764",
"1318",
"3733",
"3980",
"2359",
"6701",
"401",
"446",
"6702",... | {
"recommended": [
"11664",
"6703",
"5188",
"9308",
"4073",
"307",
"349",
"1754",
"401",
"2513"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9002",
"9039",
"11360",
"342",
"5437",
"8070",
"8050",
"4159",
"10161",
"8049",
"10152",
"8158",
"10211",
"10417",
"7864",
"9249",
"8048",
"9024",
"8160",
"9110",
"11118",
"9019",
"10796",
"8161",
"4... | {
"recommended": [
"9002",
"7864",
"10152",
"10188",
"5953",
"9249",
"11340",
"10159",
"8158",
"10087"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3737",
"1842",
"4509",
"2153",
"1799",
"5402",
"4000",
"4328",
"1265",
"3348",
"5217",
"1166",
"2605",
"2967",
"6412",
"1890",
"2435",
"1531",
"692",
"9052",
"4635",
"4260",
"2511",
"9770",
"6644",
... | {
"recommended": [
"2435",
"7107",
"4635",
"3348",
"5332",
"3665",
"5402",
"214",
"9052",
"6223"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2347",
"2187",
"5440",
"5135",
"5505",
"11457",
"1904",
"9952",
"8884",
"4499",
"662",
"6010",
"6453",
"5041",
"4123",
"1802",
"782",
"7563",
"3637",
"3476",
"1617",
"2132",
"1929",
"4151",
"2576",
... | {
"recommended": [
"1904",
"2732",
"9952",
"782",
"11025",
"4174",
"4046",
"3476",
"4216",
"2132"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8244",
"917",
"8500",
"9896",
"6191",
"8493",
"7670",
"9162",
"8771",
"9990",
"9166",
"438",
"10",
"9165",
"9106",
"34",
"10032",
"9286",
"9168",
"9544",
"10381",
"9270",
"9673",
"9047",
"9353",
... | {
"recommended": [
"9188",
"9166",
"9162",
"9047",
"10032",
"10919",
"9896",
"9165",
"10175",
"9673"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8239",
"9704",
"9124",
"9872",
"9389",
"9975",
"9231",
"8444",
"10985",
"9282",
"9388",
"10983",
"4729",
"7379",
"7189",
"8131",
"7879",
"6200",
"7384",
"10700",
"8506",
"9301",
"3286",
"10982",
"108... | {
"recommended": [
"10982",
"8444",
"7879",
"10985",
"9704",
"8905",
"8443",
"7189",
"9124",
"7108"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3137",
"4275",
"6906",
"9462",
"10380",
"4127",
"7908",
"8443",
"8446",
"7670",
"10025",
"8697",
"7655",
"7108",
"7518",
"5364",
"4707",
"7189",
"9143",
"7979",
"7436",
"7175",
"6921",
"6200",
"10741... | {
"recommended": [
"7175",
"7108",
"7518",
"9135",
"10164",
"6906",
"6060",
"8166",
"9238",
"7318"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11213",
"10697",
"10874",
"9301",
"10501",
"10372",
"9317",
"8392",
"10222",
"10376",
"10895",
"10982",
"10595",
"11030",
"6615",
"11292",
"11221",
"11294",
"9514",
"8945",
"8997",
"9557",
"10878",
"1069... | {
"recommended": [
"3194",
"9317",
"9514",
"9462",
"10316",
"10700",
"10595",
"10874",
"8775",
"10376"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5031",
"3141",
"3099",
"270",
"3527",
"349",
"241",
"6547",
"9283",
"428",
"4452",
"7436",
"11169",
"3020",
"273",
"5440",
"181",
"372",
"6691",
"4877",
"257",
"4707",
"3041",
"277",
"925",
"4301... | {
"recommended": [
"349",
"375",
"177",
"273",
"6252",
"1551",
"6426",
"3020",
"1360",
"270"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2439",
"6900",
"4535",
"8347",
"11267",
"1750",
"6276",
"3527",
"6453",
"6466",
"6377",
"9532",
"7595",
"7901",
"6899",
"4757",
"6383",
"5232",
"11703",
"4336",
"11405",
"7905",
"6669",
"10900",
"114... | {
"recommended": [
"10878",
"8348",
"5992",
"6466",
"6276",
"6453",
"6669",
"348",
"6887",
"2439"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"4148",
"1422",
"936",
"3458",
"1723",
"316",
"3337",
"1078",
"824",
"4637",
"2620",
"4521",
"769",
"1574",
"396",
"787",
"1545",
"3205",
"9250",
"2798",
"1115",
"2797",
"2627",
"3510",
"376",
"33... | {
"recommended": [
"1115",
"2620",
"9462",
"1574",
"2241",
"376",
"759",
"2987",
"3205",
"316"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"25",
"6691",
"597",
"2106",
"8718",
"5625",
"4668",
"2546",
"6586",
"260",
"4877",
"3363",
"3540",
"264",
"229",
"6662",
"2133",
"9135",
"620",
"5440",
"4515",
"6752",
"10785",
"8975",
"2194",
"1... | {
"recommended": [
"4515",
"1616",
"3519",
"11329",
"620",
"597",
"25",
"4431",
"230",
"5585"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"1911",
"8406",
"8594",
"4260",
"6968",
"3764",
"6766",
"7429",
"737",
"3115",
"8943",
"7686",
"7773",
"7887",
"5478",
"4547",
"6659",
"5418",
"6290",
"9059",
"7761",
"6606",
"6760",
"7207",
"8945",
... | {
"recommended": [
"6766",
"6760",
"7234",
"7207",
"5418",
"3764",
"8440",
"7994",
"8435",
"7773"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11820",
"11654",
"11667",
"11677",
"11354",
"11576",
"11915",
"11831",
"11640",
"10704",
"11656",
"11538",
"11019",
"11762",
"11689",
"11505",
"11682",
"11818",
"11404",
"11543",
"11686",
"11703",
"11541",
... | {
"recommended": [
"11915",
"11390",
"11831",
"11019",
"11820",
"11703",
"11354",
"11656",
"11675",
"10971"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"2182",
"6776",
"2463",
"7102",
"1636",
"4509",
"7381",
"1888",
"618",
"2867",
"3190",
"4474",
"8065",
"5219",
"1197",
"5364",
"3140",
"1890",
"1967",
"2461",
"7576",
"278",
"9231",
"1827",
"6218",
... | {
"recommended": [
"7102",
"1829",
"3140",
"1887",
"6776",
"1636",
"3190",
"278",
"1150",
"1852"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6765",
"5711",
"6968",
"7678",
"1129",
"4257",
"5675",
"885",
"9153",
"7762",
"1776",
"4350",
"7647",
"5384",
"4454",
"4272",
"3209",
"5489",
"2552",
"5312",
"5278",
"7366",
"3967",
"2590",
"5275",
... | {
"recommended": [
"5576",
"1776",
"1129",
"3219",
"2878",
"1130",
"1747",
"5939",
"7366",
"3205"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3292",
"7708",
"11400",
"3669",
"6992",
"5566",
"3759",
"811",
"2304",
"3810",
"2307",
"5725",
"10514",
"3722",
"305",
"10670",
"4624",
"10671",
"9230",
"3294",
"6900",
"556",
"7152",
"2766",
"6906",... | {
"recommended": [
"10671",
"3541",
"11400",
"10670",
"3652",
"10514",
"9230",
"5566",
"10985",
"3294"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11014",
"11016",
"9683",
"11265",
"9445",
"11241",
"11034",
"11218",
"10240",
"10770",
"11037",
"9404",
"9346",
"8305",
"9402",
"10246",
"9399",
"11261",
"8311",
"10523",
"10807",
"11015",
"11024",
"1103... | {
"recommended": [
"11261",
"9399",
"8364",
"9655",
"11107",
"11037",
"11565",
"9881",
"11009",
"9565"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6381",
"9695",
"8354",
"7248",
"9135",
"8131",
"9235",
"9482",
"8935",
"6067",
"10323",
"8910",
"9629",
"7384",
"9238",
"4729",
"10985",
"1792",
"9011",
"8633",
"8905",
"10339",
"8884",
"8778",
"1059... | {
"recommended": [
"1792",
"9695",
"9730",
"7004",
"8905",
"8884",
"6221",
"9153",
"10071",
"9839"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11557",
"11034",
"11476",
"11035",
"11356",
"10770",
"9693",
"10691",
"11036",
"9350",
"10342",
"9602",
"11351",
"11011",
"9655",
"10563",
"10806",
"10321",
"11013",
"9736",
"10143",
"11038",
"7665",
"11... | {
"recommended": [
"11890",
"11756",
"11476",
"10805",
"11015",
"11491",
"9655",
"11011",
"10775",
"11037"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5992",
"7952",
"11404",
"11493",
"6276",
"10594",
"11359",
"6269",
"9743",
"4453",
"7539",
"8067",
"10431",
"7597",
"10269",
"8159",
"7928",
"10413",
"10925",
"11666",
"3958",
"11773",
"8177",
"9786",
... | {
"recommended": [
"11305",
"10608",
"9930",
"9786",
"6615",
"11773",
"11359",
"5333",
"10431",
"9449"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8568",
"9547",
"11451",
"10985",
"10983",
"8895",
"11221",
"8863",
"10080",
"10337",
"9137",
"9462",
"3696",
"9130",
"8894",
"10323",
"9234",
"9238",
"6537",
"8939",
"10632",
"6159",
"4729",
"6252",
... | {
"recommended": [
"8894",
"8893",
"7004",
"11221",
"10866",
"10080",
"10378",
"10323",
"10091",
"10538"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11752",
"10905",
"10069",
"10766",
"10763",
"11754",
"10846",
"10847",
"10070",
"9952",
"9730",
"11609",
"974",
"10052",
"7929",
"11666",
"10781",
"11727",
"9845",
"4756",
"10237",
"11114",
"11485",
"707... | {
"recommended": [
"10070",
"11485",
"11726",
"3885",
"7451",
"11157",
"7080",
"10907",
"4757",
"11727"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11134",
"11641",
"11654",
"11820",
"11404",
"11137",
"10520",
"11464",
"11079",
"11235",
"9569",
"10379",
"11209",
"9131",
"10933",
"11703",
"11249",
"11059",
"11088",
"11675",
"11548",
"11126",
"9937",
... | {
"recommended": [
"11306",
"11028",
"8766",
"10933",
"11703",
"11820",
"11249",
"1957",
"7249",
"9937"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7249",
"4294",
"5182",
"4883",
"9937",
"4043",
"3749",
"7288",
"5942",
"7697",
"6466",
"10178",
"10526",
"1629",
"21",
"8798",
"3640",
"6689",
"8842",
"10860",
"7594",
"4072",
"1961",
"4275",
"7870",... | {
"recommended": [
"7870",
"1629",
"7594",
"8603",
"4543",
"10178",
"5942",
"9937",
"6689",
"7697"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10813",
"10383",
"11212",
"10502",
"11698",
"11275",
"10751",
"10503",
"10496",
"11739",
"10959",
"11246",
"11250",
"11306",
"11818",
"11462",
"11831",
"410",
"8780",
"10789",
"10037",
"11060",
"11068",
... | {
"recommended": [
"11275",
"11169",
"11576",
"10383",
"11218",
"11250",
"11698",
"10571",
"11672",
"11053"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6499",
"9462",
"432",
"5959",
"8939",
"10115",
"8894",
"9238",
"8404",
"9569",
"9010",
"3665",
"4450",
"8477",
"4877",
"6367",
"7708",
"8331",
"10628",
"6296",
"2836",
"1265",
"9689",
"6750",
"331",
... | {
"recommended": [
"6750",
"8043",
"8939",
"5006",
"10715",
"1899",
"3665",
"4473",
"10984",
"6497"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"444",
"356",
"2537",
"2918",
"6838",
"6179",
"2541",
"4178",
"4877",
"7329",
"782",
"9202",
"8401",
"4777",
"700",
"5440",
"6203",
"8847",
"7055",
"8839",
"3597",
"1616",
"10213",
"8975",
"4834",
... | {
"recommended": [
"6068",
"4707",
"8847",
"8839",
"5440",
"356",
"782",
"4178",
"4777",
"1616"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11493",
"11157",
"11555",
"9495",
"10468",
"11405",
"11666",
"11615",
"11714",
"11121",
"8997",
"7834",
"11362",
"11629",
"10999",
"11643",
"10962",
"11374",
"11100",
"10609",
"11272",
"11363",
"7249",
"... | {
"recommended": [
"8546",
"11560",
"9107",
"10962",
"11412",
"10609",
"11449",
"7834",
"10999",
"11362"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5377",
"8853",
"11153",
"6914",
"9128",
"9129",
"8930",
"10228",
"11180",
"8689",
"8826",
"10200",
"6924",
"10632",
"9130",
"7517",
"6902",
"7514",
"9300",
"7655",
"9134",
"11126",
"6920",
"9024",
"1... | {
"recommended": [
"9333",
"8852",
"9131",
"10632",
"8930",
"8718",
"9682",
"9024",
"6920",
"7514"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9280",
"9511",
"9175",
"7817",
"8557",
"9067",
"9705",
"10839",
"10632",
"9591",
"11778",
"9153",
"8404",
"8997",
"11340",
"7303",
"6340",
"7420",
"10984",
"6120",
"11009",
"7250",
"10380",
"8421",
"... | {
"recommended": [
"9705",
"9591",
"6367",
"10758",
"10697",
"11778",
"8795",
"9961",
"8694",
"9067"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11295",
"11066",
"11725",
"10773",
"10963",
"11296",
"11071",
"10999",
"10924",
"8997",
"11404",
"11551",
"11373",
"10105",
"11464",
"10821",
"11341",
"11297",
"10890",
"10758",
"8644",
"11387",
"10436",
... | {
"recommended": [
"11857",
"11295",
"11404",
"10866",
"11221",
"8997",
"10821",
"11726",
"11349",
"11294"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7298",
"6381",
"5329",
"1117",
"4407",
"4071",
"4943",
"5809",
"4509",
"2461",
"5166",
"6859",
"8125",
"2716",
"3116",
"5612",
"1365",
"3945",
"4380",
"2994",
"777",
"4729",
"6222",
"6220",
"4148",
... | {
"recommended": [
"6687",
"6381",
"8239",
"4472",
"9462",
"8754",
"4407",
"5809",
"2483",
"2716"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"1864",
"4775",
"725",
"7047",
"5392",
"2964",
"6990",
"809",
"926",
"2003",
"1488",
"2979",
"2852",
"2615",
"1185",
"2569",
"6780",
"3423",
"9135",
"2136",
"2600",
"4877",
"1423",
"4255",
"908",
... | {
"recommended": [
"4876",
"2600",
"3286",
"5533",
"9135",
"4260",
"4636",
"2569",
"7109",
"5392"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5763",
"6200",
"11327",
"8930",
"6653",
"5233",
"4826",
"6475",
"5041",
"2182",
"4275",
"7778",
"7979",
"10741",
"7865",
"10228",
"10737",
"5436",
"4278",
"7853",
"9005",
"9781",
"9835",
"8540",
"347... | {
"recommended": [
"10228",
"7215",
"2503",
"11061",
"7436",
"7979",
"2182",
"7249",
"8269",
"6653"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10672",
"10343",
"10502",
"11060",
"11273",
"8867",
"10786",
"11169",
"9261",
"10687",
"11027",
"11099",
"11231",
"11006",
"11208",
"10896",
"11227",
"11340",
"10561",
"10037",
"11094",
"11190",
"11280",
... | {
"recommended": [
"10718",
"10896",
"10893",
"10672",
"11056",
"11208",
"10384",
"11094",
"11280",
"10561"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11542",
"11677",
"11831",
"11689",
"11703",
"11525",
"11674",
"9261",
"10585",
"11169",
"11208",
"11698",
"11730",
"11543",
"11739",
"10496",
"11887",
"10958",
"10786",
"10933",
"11066",
"11060",
"11655",
... | {
"recommended": [
"11213",
"11212",
"11689",
"11641",
"11887",
"11208",
"11655",
"11060",
"11542",
"11169"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7682",
"9131",
"7650",
"8835",
"10195",
"7415",
"10420",
"9627",
"9155",
"7719",
"9189",
"7823",
"5328",
"4834",
"8643",
"8461",
"7530",
"9153",
"9190",
"8645",
"7249",
"5105",
"11404",
"4978",
"8939... | {
"recommended": [
"7719",
"4276",
"8819",
"5707",
"9192",
"1214",
"9155",
"9913",
"8645",
"9190"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"8939",
"10591",
"8894",
"6222",
"7834",
"9235",
"6221",
"9230",
"5328",
"7214",
"7721",
"9771",
"10866",
"4834",
"10549",
"8126",
"9926",
"7379",
"10312",
"5332",
"4729",
"3861",
"8239",
"9920",
"109... | {
"recommended": [
"10591",
"8874",
"8939",
"9262",
"9",
"9230",
"8095",
"8896",
"10549",
"9809"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7927",
"8338",
"8854",
"7356",
"166",
"7737",
"9299",
"9788",
"10047",
"7440",
"6878",
"6442",
"8476",
"7110",
"10448",
"7439",
"6024",
"11425",
"10259",
"9297",
"10828",
"11254",
"9554",
"6863",
"78... | {
"recommended": [
"11423",
"8854",
"4013",
"7356",
"11425",
"11254",
"10650",
"166",
"9788",
"6964"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"4072",
"7523",
"5899",
"4302",
"5440",
"7055",
"5505",
"5572",
"870",
"3476",
"7778",
"3465",
"5741",
"11429",
"6306",
"11629",
"1733",
"3589",
"4823",
"7308",
"8067",
"6346",
"6352",
"3597",
"3330",... | {
"recommended": [
"11629",
"10460",
"6679",
"11429",
"7308",
"870",
"5899",
"136",
"137",
"6334"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10743",
"620",
"350",
"1677",
"4707",
"482",
"137",
"3968",
"662",
"4498",
"6752",
"229",
"5505",
"3204",
"700",
"9066",
"778",
"597",
"5624",
"1904",
"3483",
"2409",
"5440",
"2546",
"782",
"9090... | {
"recommended": [
"2409",
"662",
"700",
"3968",
"597",
"2094",
"169",
"9090",
"482",
"350"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3573",
"5378",
"2039",
"4923",
"25",
"179",
"5556",
"2115",
"3216",
"5440",
"6778",
"6914",
"5666",
"6080",
"5769",
"4066",
"4948",
"3687",
"7462",
"4481",
"4591",
"7259",
"6298",
"7208",
"2096",
... | {
"recommended": [
"6080",
"1794",
"7208",
"4591",
"6914",
"6014",
"5448",
"3216",
"4948",
"4923"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"4671",
"5564",
"7272",
"11506",
"10535",
"10609",
"7991",
"8997",
"11404",
"11218",
"11157",
"10581",
"9290",
"5120",
"7577",
"2221",
"8329",
"9280",
"7249",
"5441",
"8884",
"8002",
"5769",
"11831",
... | {
"recommended": [
"10054",
"9288",
"1223",
"10535",
"4671",
"5564",
"11404",
"10609",
"8002",
"10056"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10488",
"11618",
"10137",
"11416",
"10489",
"11192",
"11497",
"10641",
"9599",
"11612",
"11720",
"9493",
"10556",
"11616",
"10899",
"11619",
"9501",
"11620",
"11100",
"9496",
"11417",
"9505",
"9512",
"10... | {
"recommended": [
"9599",
"9528",
"10556",
"9505",
"11619",
"11100",
"9491",
"10488",
"11616",
"9810"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"1253",
"5625",
"3790",
"4092",
"134",
"1390",
"1505",
"265",
"8975",
"1563",
"11664",
"5118",
"846",
"5855",
"229",
"137",
"25",
"9166",
"7771",
"9660",
"1942",
"5078",
"1224",
"4707",
"7249",
"8... | {
"recommended": [
"11725",
"134",
"5855",
"3689",
"846",
"9166",
"4925",
"7771",
"1390",
"4646"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7864",
"11493",
"5626",
"8455",
"8025",
"11606",
"6237",
"6985",
"8159",
"6882",
"10152",
"11458",
"6968",
"9002",
"11405",
"11404",
"9430",
"6440",
"11272",
"8356",
"4547",
"9926",
"4299",
"8067",
"... | {
"recommended": [
"4933",
"8025",
"6898",
"7915",
"7478",
"4299",
"6237",
"8279",
"6985",
"6882"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"4743",
"11635",
"8208",
"2702",
"10418",
"2943",
"8543",
"4303",
"7304",
"3050",
"11348",
"1422",
"342",
"2442",
"6318",
"11110",
"10645",
"4774",
"7591",
"9815",
"10728",
"11661",
"11493",
"8399",
"... | {
"recommended": [
"7100",
"909",
"11635",
"11493",
"2702",
"4454",
"9481",
"6318",
"11348",
"2442"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6969",
"6200",
"7514",
"4707",
"10684",
"6610",
"9486",
"10610",
"9462",
"7518",
"7815",
"5649",
"8535",
"7789",
"9941",
"10025",
"8539",
"7086",
"9135",
"7631",
"7249",
"9936",
"10530",
"6876",
"390... | {
"recommended": [
"10560",
"7789",
"9175",
"9102",
"9936",
"9627",
"7514",
"6010",
"7631",
"10516"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"5784",
"6316",
"179",
"974",
"3131",
"9239",
"10057",
"9507",
"7778",
"7282",
"7514",
"7249",
"11404",
"4626",
"3815",
"5231",
"9460",
"11272",
"1223",
"2319",
"10058",
"11405",
"3140",
"8804",
"4547... | {
"recommended": [
"9507",
"3573",
"11142",
"179",
"4643",
"7282",
"7514",
"7991",
"11404",
"4626"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"4729",
"7998",
"7521",
"4707",
"10479",
"5299",
"2285",
"3788",
"5437",
"7142",
"6906",
"1800",
"9913",
"1360",
"5895",
"9557",
"4834",
"7952",
"1056",
"3016",
"7687",
"4524",
"920",
"9660",
"5666",
... | {
"recommended": [
"4586",
"2285",
"5299",
"683",
"3016",
"6357",
"9660",
"7518",
"7142",
"3527"
]
} |
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