提交 6c8792ee 编写于 作者: M MaoXianxin

Recommending movies: retrieval

上级 0653337f
此差异已折叠。
......@@ -319,4 +319,7 @@ with tempfile.TemporaryDirectory() as tmp:
scores, titles = loaded(["42"])
print(f"Recommendations: {titles[0][:3]}")
```
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```
代码链接:
......@@ -111,4 +111,4 @@ _, titles = index(np.array(["42"]))
print(f"Top 3 recommendations for user 42: {titles[0, :3]}")
```
代码地址:
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代码地址: https://codechina.csdn.net/csdn_codechina/enterprise_technology/-/blob/master/NLP_recommend/TensorFlow%20Recommenders:%20Quickstart.ipynb
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