Broad Learning based Multi-Source Collaborative Recommendation-Reference-Cited by-同舟云学术

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Broad Learning based Multi-Source Collaborative Recommendation

Published:2017-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
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Author:

Zhu Junxing¹,Zhang Jiawei²,He Lifang³,Wu Quanyuan¹,Zhou Bin¹,Zhang Chenwei⁴,Yu Philip S.⁵

Affiliation:

1. National University of Defense Technology, Changsha, Hunan, China

2. Florida State University, Tallahassee, FL, USA

3. Shenzhen University, Shenzhen, Guangdong, China

4. University of Illinois at Chicago, Chicago, IL, USA

5. University of Illinois at Chicago & Tsinghua University, Chicago, IL, USA

Funder

National University of Defense Technology

National Natural Science Foundation of China

National Key fundamental Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3132847.3132976

Reference35 articles.

1. Collective entity resolution in relational data

2. Making recommendations from multiple domains

3. Social Recommendation with Cross-Domain Transferable Knowledge

4. Inferring anchor links across multiple heterogeneous social networks

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