Social interaction based video recommendation: Recommending YouTube videos to facebook users

Bin Nie, Honggang Zhang, Yong Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Online videos, e.g., YouTube videos, are important topics for social interactions among users of online social networking sites (OSN), e.g., Facebook. This opens up the possibility of exploiting video-related user social interaction information for better video recommendation. Towards this goal, we conduct a case study of recommending YouTube videos to Facebook users based on their social interactions. We first measure social interactions related to YouTube videos among Facebook users. We observe that the attention a video attracts on Facebook is not always well-aligned with its popularity on YouTube. Unpopular videos on YouTube can become popular on Facebook, while popular videos on YouTube often do not attract proportionally high attentions on Facebook. This finding motivates us to develop a simple top-k video recommendation algorithm that exploits user social interaction information to improve the recommendation accuracy for niche videos, that are globally unpopular, but highly relevant to a specific user or user group. Through experiments on the collected Facebook traces, we demonstrate that our recommendation algorithm significantly outperforms the YouTube-popularity based video recommendation algorithm as well as a collaborative filtering algorithm based on user similarities.

Original languageEnglish (US)
Title of host publication2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages97-102
Number of pages6
ISBN (Print)9781479930883
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014 - Toronto, ON, Canada
Duration: Apr 27 2014May 2 2014

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

Other2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
CountryCanada
CityToronto, ON
Period4/27/145/2/14

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ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Nie, B., Zhang, H., & Liu, Y. (2014). Social interaction based video recommendation: Recommending YouTube videos to facebook users. In 2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014 (pp. 97-102). [6849175] (Proceedings - IEEE INFOCOM). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFCOMW.2014.6849175