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SNDocRank: document ranking based on social networks

Authors:

Liang Gou,

Hung-Hsuan Chen,

Jung-Hyun Kim,

Xiaolong (Luke) Zhang,

C. Lee GilesAuthors Info & Claims

WWW '10: Proceedings of the 19th international conference on World wide web

Pages 1103 - 1104

https://doi.org/10.1145/1772690.1772825

Published: 26 April 2010 Publication History

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Abstract

To improve the search results for socially-connect users, we propose a ranking framework, Social Network Document Rank (SNDocRank). This framework considers both document contents and the similarity between a searcher and document owners in a social network and uses a Multi-level Actor Similarity (MAS) algorithm to efficiently calculate user similarity in a social network. Our experiment results based on YouTube data show that compared with the tf-idf algorithm, the SNDocRank method returns more relevant documents of interest. Our findings suggest that in this framework, a searcher can improve search by joining larger social networks, having more friends, and connecting larger local communities in a social network.

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Gou, L., H. Chen, J. Kim, X. L. Zhang & C. L. Giles. SNDocRank: a Social Network-Based Video Search Ranking Framework. Proc. of ACM MIR'10.

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Fernandez-Luque LKarlsen RMelton G(2012)HealthTrust: A Social Network Approach for Retrieving Online Health VideosJournal of Medical Internet Research10.2196/jmir.198514:1(e22)Online publication date: 31-Jan-2012
https://doi.org/10.2196/jmir.1985
Lu HTing IWang S(2012)A Novel Search Engine Based on Social Relationships in Online Social Networking WebsiteProceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)10.1109/ASONAM.2012.191(1111-1116)Online publication date: 26-Aug-2012
https://dl.acm.org/doi/10.1109/ASONAM.2012.191
Karweg BHuetter CBöhm K(2011)Evolving social search based on bookmarks and status messages from social networksProceedings of the 20th ACM international conference on Information and knowledge management10.1145/2063576.2063839(1825-1834)Online publication date: 24-Oct-2011
https://dl.acm.org/doi/10.1145/2063576.2063839

Index Terms

SNDocRank: document ranking based on social networks
1. Information systems
  1. Information retrieval

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Published In

WWW '10: Proceedings of the 19th international conference on World wide web

April 2010

1407 pages

ISBN:9781605587998

DOI:10.1145/1772690

General Chairs:
Michael Rappa
North Carolina State University, USA
,
Paul Jones
University of North Carolina at Chapel Hill, USA
,
Program Chairs:
Juliana Freire
University of Utah, USA
,
Soumen Chakrabarti
Indian Institute of Technology, India

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Association for Computing Machinery

New York, NY, United States

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Published: 26 April 2010

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WWW '10

WWW '10: The 19th International World Wide Web Conference

April 26 - 30, 2010

North Carolina, Raleigh, USA

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Fernandez-Luque LKarlsen RMelton G(2012)HealthTrust: A Social Network Approach for Retrieving Online Health VideosJournal of Medical Internet Research10.2196/jmir.198514:1(e22)Online publication date: 31-Jan-2012
https://doi.org/10.2196/jmir.1985
Lu HTing IWang S(2012)A Novel Search Engine Based on Social Relationships in Online Social Networking WebsiteProceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)10.1109/ASONAM.2012.191(1111-1116)Online publication date: 26-Aug-2012
https://dl.acm.org/doi/10.1109/ASONAM.2012.191
Karweg BHuetter CBöhm K(2011)Evolving social search based on bookmarks and status messages from social networksProceedings of the 20th ACM international conference on Information and knowledge management10.1145/2063576.2063839(1825-1834)Online publication date: 24-Oct-2011
https://dl.acm.org/doi/10.1145/2063576.2063839

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Social network document ranking

SNDocRank: a social network-based video search ranking framework

Effective rank aggregation for metasearching

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