Towards a Deep Attention-Based Sequential Recommender System

Towards a Deep Attention-Based Sequential Recommender System

With the availability of a large amount of user-generated online data, discovering users' sequential behaviour has become an integral part of a Sequential Recommender System (SRS). Combining the recent observed items (i.e., short-term preferences) with prior interacted items (i.e., long-term pr...

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Bibliographic Details
Main Authors: Shahpar Yakhchi, Amin Beheshti, Seyed-Mohssen Ghafari, Mehmet A. Orgun, Guanfeng Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Attention network
dependency modeling
sequential recommender systems
Online Access:https://ieeexplore.ieee.org/document/9123874/

Internet

https://ieeexplore.ieee.org/document/9123874/

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