Lee, DH and Brusilovsky, P
(2012)
Exploring social approach to recommend talks at research conferences.
CollaborateCom 2012 - Proceedings of the 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing.
157 - 164.
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Abstract
This paper investigates various recommendation algorithms to recommend relevant talks to attendees of research conferences. We explored three sources of information to generate recommendations: users' preference about items (i.e. talks), users' social network and content of items. In order to find out what is the best recommendation approach, we explored a diverse set of algorithms from non-personalized community vote-based recommendations and collaborative filtering recommend-ations to hybrid recommendations such as social network-based recommendation boosted by content information of items. We found that social network-based recommendations fused with content information and non-personalized community vote-based recommendations performed the best. Moreover, for cold-start users who have insufficient number of items to express their preferences, the recommendations based on their social connections generated significantly better predictions than other approaches. © 2012 ICST.
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Item Type: |
Article
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Status: |
Published |
Creators/Authors: |
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Date: |
1 December 2012 |
Date Type: |
Publication |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Journal or Publication Title: |
CollaborateCom 2012 - Proceedings of the 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing |
Page Range: |
157 - 164 |
Event Type: |
Conference |
DOI or Unique Handle: |
10.4108/icst.collaboratecom.2012.250415 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
School of Information Sciences > Information Science |
Refereed: |
Yes |
ISBN: |
9781936968367 |
Date Deposited: |
22 Jul 2013 17:40 |
Last Modified: |
04 Feb 2019 15:58 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/19376 |
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