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Vcast on facebook: bridging social and similarity networks

Published: 29 June 2009 Publication History

Abstract

Focusing on Personal Video Recorder, the paper presents an environment to support users in choosing which TV programs register through recommendations based on user-to-user similarity. Recommendations are presented to users in a Facebook application which is double aimed: on the one hand, it allows to collect user's feedback on the recommended items; on the other hand, it allows to define a social network-based users similarity which is exploited to optimize the recommendation process.

References

[1]
A. Basso, M. Milanesio, and G. Ruffo. Events discovery for personal video recorders. In 7th European Interactive TV Conference (EuroITV), June 2009.
[2]
N. Fridman and G. A. Kaminka. Towards a cognitive model of crowd behavior based on social comparison theory. In AAAI, pages 731--737. AAAI Press, 2007.
[3]
C. Giordano, S. Modeo, G. Bernardi, and F. Ricchiuti. Using mobile phones as remote control for ubiquitous video-recording. In MUM '07: Proc. of the 6th int. conference on Mobile and ubiquitous multimedia, pages 125--130, New York, NY, USA, 2007. ACM.
[4]
M. S. Granovetter. The strength of weak ties. The American Journal of Sociology, 78:1360--1380, 1973.
[5]
G. Ruffo and R. Schifanella. A peer-to-peer recommender system based on spontaneous affinities. ACM Transactions on Internet Technology (TOIT), 9(1), 2009.
[6]
R. Schifanella, A. Panisson, C. Gena, and G. Ruffo. Mobhinter: epidemic collaborative filtering and self-organization in mobile ad--hoc networks. In RecSys'08: Proc. of the 2008 ACM Conf. on Recommender systems, New York, NY, USA, 2008. ACM.

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Published In

cover image ACM Conferences
HT '09: Proceedings of the 20th ACM conference on Hypertext and hypermedia
June 2009
410 pages
ISBN:9781605584867
DOI:10.1145/1557914

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 June 2009

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Author Tags

  1. ad hoc networks
  2. recommender systems
  3. social collaborative filtering

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HT '09
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Overall Acceptance Rate 378 of 1,158 submissions, 33%

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