Recommendation techniques based on off-line data processing: a multifaceted survey

Ren, Yongli, Li, Gang and Zhou, Wanlei 2013, Recommendation techniques based on off-line data processing: a multifaceted survey, in SKG 2013 : Proceedings 2013 9th International Conference on Semantics, Knowledge and Grids, IEEE, Piscataway, N.J., pp. 6-13, doi: 10.1109/SKG.2013.23.

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Title Recommendation techniques based on off-line data processing: a multifaceted survey
Author(s) Ren, Yongli
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Zhou, WanleiORCID iD for Zhou, Wanlei orcid.org/0000-0002-1680-2521
Conference name Semantics, Knowledge and Grids. Conference (9th : 2013 : Beijing, China)
Conference location Beijing, China
Conference dates 3-4 Oct. 2013
Title of proceedings SKG 2013 : Proceedings 2013 9th International Conference on Semantics, Knowledge and Grids
Publication date 2013
Start page 6
End page 13
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Recommender Systems
Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Theory & Methods
Computer Science
SYSTEMS
Summary Recommendations based on off-line data processing has attracted increasing attention from both research communities and IT industries. The recommendation techniques could be used to explore huge volumes of data, identify the items that users probably like, and translate the research results into real-world applications, etc. This paper surveys the recent progress in the research of recommendations based on off-line data processing, with emphasis on new techniques (such as context-based recommendation, temporal recommendation), and new features (such as serendipitous recommendation). Finally, we outline some existing challenges for future research.
ISBN 9781479930128
Language eng
DOI 10.1109/SKG.2013.23
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30067481

Document type: Conference Paper
Collection: School of Information Technology
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