Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
The success of recommender systems in modern online platforms is inseparable from the accurate capture of users' personal tastes. In everyday life, large amounts of user feedback data are created along with user-item online interactions in a variety of ways, such as browsing, purchasing, and sharing... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Memory Network
|
Working Memory Models |