DocumentCode :
2118245
Title :
Featured Tweet Search: Modeling Time and Social Influence for Microblog Retrieval
Author :
Jabeur, L.B. ; Tamine, L. ; Boughanem, Mohand
Author_Institution :
IRIT, Paul Sabatier Univ., Toulouse, France
Volume :
1
fYear :
2012
fDate :
4-7 Dec. 2012
Firstpage :
166
Lastpage :
173
Abstract :
This paper interests in social search over social networking services, typically in microblogging networks. We propose a new approach that integrates, within a Bayesian network model, new relevance factors such as the social importance of microbloggers and the temporal magnitude of tweets. In particular, the social importance of a microblogger is assimilated to his influence on the social network. This property is evaluated by applying PageRank algorithm on the social network of retweets and mentions. The temporal magnitude of microblogs is estimated based on temporal neighbors that present similar query terms. To validate our approach, we conducted a series of experiments on the TREC 2011 Microblog dataset. Results show that the integration of social and temporal features increases the retrieval effectiveness.
Keywords :
belief networks; query processing; social networking (online); Bayesian network model; PageRank algorithm; TREC 2011 Microblog dataset; featured Tweet search; microblog retrieval; microblogging networks; query terms; relevance factors; social features; social importance; social influence modeling; social networking services; social search; temporal features; temporal magnitude; temporal neighbors; time influence modeling; Influence; Microblogs; Social network; Time magnitude; Tweet search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
Conference_Location :
Macau
Print_ISBN :
978-1-4673-6057-9
Type :
conf
DOI :
10.1109/WI-IAT.2012.233
Filename :
6511880
Link To Document :
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