Neural Binary Representation Learning for Large-Scale Collaborative Filtering

Neural Binary Representation Learning for Large-Scale Collaborative Filtering

Integrating hashing into collaborative filtering (CF) has been a promising solution to address the efficiency problem of large-scale recommender systems, i.e., hashing users and items into binary codes and then making recommendations in Hamming space. However, most of the existing hashing methods fo...

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Bibliographic Details
Main Authors: Yujia Zhang, Jun Wu, Haishuai Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Recommender systems
collaborative filtering
autoencoders
representation learning
learning to hash
Online Access:https://ieeexplore.ieee.org/document/8708285/

Internet

https://ieeexplore.ieee.org/document/8708285/

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