Differentiable Ranking Metric Using Relaxed Sorting for Top-K Recommendation

Differentiable Ranking Metric Using Relaxed Sorting for Top-K Recommendation

Most recommenders generate recommendations for a user by computing the preference score of items, sorting the items according to the score, and filtering top-<inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula>-items of high scores. Since sor...

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Bibliographic Details
Main Authors: Hyunsung Lee, Sangwoo Cho, Yeongjae Jang, Jaekwang Kim, Honguk Woo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Recommender systems
learning to rank
top-K recommendation
differentiable ranking metric
Online Access:https://ieeexplore.ieee.org/document/9514867/

Internet

https://ieeexplore.ieee.org/document/9514867/

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