Multi-Level Fine-Grained Interactions for Collaborative Filtering

Multi-Level Fine-Grained Interactions for Collaborative Filtering

In recent years, review-based collaborative filtering (CF) has been extensively studied, which is an combination between natural language processing (NLP) and recommender systems. The core pattern behind CF is to first model user and item, and then adopts a relatively primitive interaction between t...

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Bibliographic Details
Main Authors: Xingjie Feng, Yunze Zeng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Recommender system
collaborative filtering
deep learning
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/8844254/

Internet

https://ieeexplore.ieee.org/document/8844254/

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