Explainable Recommendation via Personalized Features on Dynamic Preference Interactions

Explainable Recommendation via Personalized Features on Dynamic Preference Interactions

An Explainable Recommendation system has become more prominent because it could convince the user to trust the prediction. However, the existing Explainable Recommendation systems face one of these two limitations. The first limitation is the utilization of a pre-defined feature set to represent the...

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Bibliographic Details
Main Authors: Natthapol Maneechote, Saranya Maneeroj
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
attention mechanism
recommender systems
Online Access:https://ieeexplore.ieee.org/document/9936639/

Internet

https://ieeexplore.ieee.org/document/9936639/

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