Bilateral neural embedding for collaborative filtering-based multimedia recommendation

Linfeng Li
Linfeng Li

Multimedia Tools Appl., Volume 77, Issue 10, 2018, Pages 12533-12544.

Cited by: 2|Views5
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Abstract:

As one of the most popular and successfully applied recommendation methods, collaborative filtering aims to extract low-dimensional user and item representation from historic user-item interaction matrix. The similarity between the user and item representation vectors in the same space well measures the degree of interest and thus can be ...More

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