Review-Based Recommender System Using Outer Product on CNN-Reference-Cited by-同舟云学术

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Review-Based Recommender System Using Outer Product on CNN

Published:2024 Issue: Volume:12 Page:65650-65659
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hong Sein¹^ORCID,Li Xinzhe¹^ORCID,Yang Sigeon¹^ORCID,Kim Jaekyeong¹^ORCID

Affiliation:

1. Department of Big Data Analytics, Kyung Hee University, Seoul, Republic of Korea

Funder

BK21 FOUR (Fostering Outstanding Universities for Research) funded by the Ministry of Education (MOE), South Korea

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10508565.pdf?arnumber=10508565

Reference52 articles.

1. Recommender systems

2. A Systematic Study on the Recommender Systems in the E-Commerce

3. Emotion-Based Recommender System for Overcoming the Problem of Information Overload

4. The problem of information overload in business organisations: a review of the literature

5. Collaborative filtering and deep learning based recommendation system for cold start items

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