Combining Social Relations and Interaction Data in Recommender System With Graph Convolution Collaborative Filtering

Combining Social Relations and Interaction Data in Recommender System With Graph Convolution Collaborative Filtering

A recommender system is an important subject in the field of data mining, where the item rating information from users is exploited and processed to make suitable recommendations with all other users. The recommender system creates convenience for e-commerce users and stimulates the consumption of i...

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Bibliographic Details
Main Authors: Tin T. Tran, Vaclav Snasel, Loc Tan Nguyen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Recommendation system
social recommender system
collaborative filtering
graph convolution network
Online Access:https://ieeexplore.ieee.org/document/10347223/

Internet

https://ieeexplore.ieee.org/document/10347223/

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