<italic>CHRS</italic>: Cold Start Recommendation Across Multiple Heterogeneous Information Networks

<italic>CHRS</italic>: Cold Start Recommendation Across Multiple Heterogeneous Information Networks

Nowadays, people are overwhelmingly exposed to various kinds of information from different information networks. In order to recommend users with the information entities that match their interests, many recommendation methods have been proposed so far. And some of these methods have explored differ...

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Bibliographic Details
Main Authors: Junxing Zhu, Jiawei Zhang, Chenwei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Philip S. Yu
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Recommendation system
“cold start” problem
heterogeneous information networks
information transfer
Online Access:https://ieeexplore.ieee.org/document/7976276/

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