Utilizing an Autoencoder-Generated Item Representation in Hybrid Recommendation System

Utilizing an Autoencoder-Generated Item Representation in Hybrid Recommendation System

While collaborative filtering (CF) is the most popular approach for recommendation systems, it only makes use of the ratings given to items by users and neglects side information about user attributes or item features. In this work, a natural language processing (NLP) technique is applied to generat...

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Bibliographic Details
Main Authors: Tan Nghia Duong, Tuan Anh Vuong, Duc Minh Nguyen, Quang Hieu Dang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Collaborative filtering
matrix factorization
neighborhood-based
recommendation system
similarity measure
Online Access:https://ieeexplore.ieee.org/document/9075162/

Internet

https://ieeexplore.ieee.org/document/9075162/

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