Matrix Factorization for Collaborative Filtering: Revision history

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    10 October 2022

    • curprev 11:5811:58, 10 October 2022‎ Admin talk contribs‎ 1,474 bytes +1,474‎ Created page with "== Problem Description== Matrix factorization is a way to generate latent features when multiplying two different kinds of entities. Collaborative filtering is the application of matrix factorization to identify the relationship between items’ and users’ entities. With the input of users’ ratings on the shop items, we would like to predict how the users would rate the items so the users can get the recommendation based on the prediction. Collaborative Filtering: C..."
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