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