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How Does the Recommendation System Work on Tmall?

Alibaba algorithm engineer explains how the Tmall homepage recommendation system works, discussing everything from knowledge graphs to all kinds of neural networks.

It constructs multiple user interest vectors in the same vector space as the product vector to represent users' interests. Then, it retrieves the top K neighboring product vectors based on these interest vectors to conclude the top K products that users are interested in.https://cpsandtypingtest.com/
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