Multiview Fusion Using Transformer Model for Recommender Systems: Integrating the Utility Matrix and Textual Sources

Multiview Fusion Using Transformer Model for Recommender Systems: Integrating the Utility Matrix and Textual Sources

Recommender systems are challenged with providing accurate recommendations that meet the diverse preferences of users. The main information sources for these systems are the utility matrix and textual sources, such as item descriptions, users’ reviews, and users’ profiles. Incorporating diverse sour...

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Bibliographic Details
Main Authors: Thi-Linh Ho, Anh-Cuong Le, Dinh-Hong Vu
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
recommender system
deep neural network recommender system
multiview
transformer model
Online Access:https://www.mdpi.com/2076-3417/13/10/6324

Internet

https://www.mdpi.com/2076-3417/13/10/6324

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