Unexpected interest recommender system with graph neural network

Unexpected interest recommender system with graph neural network

Abstract Traditional recommender systems often face the filter bubble problem when they focus on recommending familiar items to users. The over-specialized recommended contents will make users bored. To solve this problem, researchers have proposed models that focus on unexpectedness, but these mode...

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Bibliographic Details
Main Authors: Hongbin Xia, Kai Huang, Yuan Liu
Format: Article
Language:English
Published: Springer 2022-08-01
Series:Complex & Intelligent Systems
Subjects:
Graph neural network
Long term and short term
Recommender system
Unexpectedness
Online Access:https://doi.org/10.1007/s40747-022-00849-9

Internet

https://doi.org/10.1007/s40747-022-00849-9

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