Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders-Reference-Cited by-同舟云学术

Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders

Published:2023-07-01 Issue:4 Volume:16 Page:2477-2489
ISSN:1939-1374
Container-title:IEEE Transactions on Services Computing
language:
Short-container-title:IEEE Trans. Serv. Comput.

Author:

Wu Hanrui¹^ORCID,Wong Chung Wang²,Zhang Jia¹^ORCID,Yan Yuguang³^ORCID,Yu Dahai⁴^ORCID,Long Jinyi⁵^ORCID,Ng Michael K.²^ORCID

Affiliation:

1. College of Information Science and Technology, Jinan University, Guangzhou, China

2. Department of Mathematics, The University of Hong Kong, Hong Kong, China

3. School of Computer, Guangdong University of Technology, Guangzhou, China

4. TCL Corporate Research Hong Kong, Hong Kong

5. College of Information Science and Technology, and Guangdong Key Lab of Traditional Chinese Medicine Information Technology, Jinan University, Guangzhou, China

Funder

National Natural Science Foundation of China

Guangdong Natural Science Foundation of China

Guangdong Provincial Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Science and Technology Project in Guangzhou

HKRGC GRF

HKRGC CRF

HKU-TCL Joint Research Centre for Artificial Intelligence

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/4629386/10213383/10018469.pdf?arnumber=10018469

Reference70 articles.

1. Pre-training Graph Transformer with Multimodal Side Information for Recommendation

2. Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification

3. Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning

4. Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking

5. Collaborative Filtering Recommender Systems

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