Exploring User-Specific Information in Music Retrieval-Reference-Cited by-同舟云学术

Exploring User-Specific Information in Music Retrieval

Published:2017-08-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Cheng Zhiyong¹,Shen Jialie²,Nie Liqiang³,Chua Tat-Seng¹,Kankanhalli Mohan¹

Affiliation:

1. National University of Singapore, Singapore, Singapore

2. Northumbria University, Newcastle, United Kingdom

3. Shandong University, Jinan, China

Funder

National Research Foundation Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3077136.3080772

Reference48 articles.

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2. Gendered scrobbling: Listening behaviour of young adults on Last.fm

3. Autotagger: A Model for Predicting Social Tags from Acoustic Features on Large Music Databases

4. J. Bu S. Tan C. Chen C. Wang H. Wu L. Zhang and X. He. 2010. Music recommendation by unified hypergraph: combining social media information and music content. In ACM MM. 10.1145/1873951.1874005 J. Bu S. Tan C. Chen C. Wang H. Wu L. Zhang and X. He. 2010. Music recommendation by unified hypergraph: combining social media information and music content. In ACM MM. 10.1145/1873951.1874005

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