推荐系统包(MovieLens 100K)
真实开源数据集封装(SKU-06):GroupLens MovieLens 100K。保留 ratings/movies/users/genres 多表与原始 u.*;附 build_interaction.py。约 10 万条评分,适合协同过滤基线。
提供商: 平台自营
交付形态:文件包
适用场景
1 / 5场景说明
适用于:
1
协同过滤 / 矩阵分解教学与基线
2
用户–物品交互特征工程
3
推荐评估(RMSE/MAE)练习
不适用于:真实电商成交日志替代,或未署名的商业再分发。
使用指南
2 / 5通过统一 API 拉取数据(全站接口相同,仅替换 slug)。
-
1
获取凭证
登录 → 购买 → 在 申请 API Key 签发密钥(仅显示一次)
-
2
发起请求
GET /api/v1/data/retail-movielens-100k/rows?page=1&size=10,Header:X-API-Key -
3
解析响应
从 JSON 的
rows取数据,用total翻页 -
4
处理错误
401密钥无效 ·403未购买/无权 ·400参数错误 ·429过频 ·502上游失败
数据集说明
3 / 5SKU-06 推荐系统包(MovieLens 100K)
- 源:GroupLens MovieLens 100K
- 多表:ratings / movies / users / genres + original/u.*
- 附:build_interaction.py
- 示例:item-based CF(train_cf_movielens.py)
字段 Schema
4 / 5{
"fields": [
{
"dtype": "int64",
"is_label": false,
"kind": "numeric",
"name": "user_id",
"nullable": false,
"nunique": 943
},
{
"dtype": "int64",
"is_label": false,
"kind": "numeric",
"name": "movie_id",
"nullable": false,
"nunique": 1682
},
{
"dtype": "int64",
"is_label": true,
"kind": "numeric",
"name": "rating",
"nullable": false,
"nunique": 5
},
{
"dtype": "int64",
"is_label": false,
"kind": "numeric",
"name": "timestamp",
"nullable": false,
"nunique": 49282
}
],
"format": "multi_table",
"label_column": "rating",
"layout": "movielens_100k",
"license_hint": "MovieLens license (GroupLens) \u2014 free for research; cite Harper \u0026 Konstan",
"primary_table": "ratings.csv",
"source_name": "MovieLens 100K (GroupLens)",
"source_url": "https://grouplens.org/datasets/movielens/100k/",
"tables": {
"genres.csv": {
"columns": [
"genre",
"genre_id"
],
"rows": 19
},
"movies.csv": {
"columns": [
"movie_id",
"title",
"release_date",
"video_release_date",
"imdb_url",
"unknown",
"Action",
"Adventure",
"Animation",
"Children",
"Comedy",
"Crime",
"Documentary",
"Drama",
"Fantasy",
"Film-Noir",
"Horror",
"Musical",
"Mystery",
"Romance",
"Sci-Fi",
"Thriller",
"War",
"Western"
],
"keys": [
"movie_id"
],
"rows": 1682
},
"ratings.csv": {
"columns": [
"user_id",
"movie_id",
"rating",
"timestamp"
],
"keys": [
"user_id",
"movie_id"
],
"rows": 100000
},
"users.csv": {
"columns": [
"user_id",
"age",
"gender",
"occupation",
"zip_code"
],
"keys": [
"user_id"
],
"rows": 943
}
}
}
调用示例
5 / 5路径中的 slug 换成已购商品标识即可。完整说明见 API 文档。
curl -H "X-API-Key: ds_你的密钥" \ "https://www.dataocean.zhixxing.cn/api/v1/data/retail-movielens-100k/rows?page=1&size=10"
import requests
r = requests.get(
"https://www.dataocean.zhixxing.cn/api/v1/data/retail-movielens-100k/rows",
headers={"X-API-Key": "ds_你的密钥"},
params={"page": 1, "size": 10},
timeout=30,
)
r.raise_for_status()
print(r.json())
const apiKey = "ds_你的密钥";
const url = new URL("https://www.dataocean.zhixxing.cn/api/v1/data/retail-movielens-100k/rows");
url.searchParams.set("page", "1");
url.searchParams.set("size", "10");
const resp = await fetch(url, {
headers: { "X-API-Key": apiKey },
});
if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
const payload = await resp.json();
console.log(payload);
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
var client = HttpClient.newHttpClient();
var request = HttpRequest.newBuilder()
.uri(URI.create("https://www.dataocean.zhixxing.cn/api/v1/data/retail-movielens-100k/rows?page=1&size=10"))
.header("X-API-Key", "ds_你的密钥")
.GET()
.build();
var response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.statusCode());
System.out.println(response.body());
package main
import (
"fmt"
"io"
"net/http"
)
func main() {
req, _ := http.NewRequest("GET",
"https://www.dataocean.zhixxing.cn/api/v1/data/retail-movielens-100k/rows?page=1&size=10", nil)
req.Header.Set("X-API-Key", "ds_你的密钥")
resp, err := http.DefaultClient.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(resp.StatusCode, string(body))
}
using System.Net.Http;
var client = new HttpClient();
client.DefaultRequestHeaders.Add("X-API-Key", "ds_你的密钥");
var json = await client.GetStringAsync("https://www.dataocean.zhixxing.cn/api/v1/data/retail-movielens-100k/rows?page=1&size=10");
Console.WriteLine(json);
1 / 5