PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Pennacchiotti M., Silvestri F., Vahabi H., Venturini R. Making your interests follow you on twitter. In: CIKM '2012 - The 21st ACM International Conference on Information and Knowledge Management (Maui, Hawaii, USA, October 29-November 2 2012). Proceedings, pp. 165 - 174. (CIKM '2012). ACM, 2012.
 
 
Abstract
(English)
In this paper we introduce the task of tweet recommenda- tion, the problem of suggesting tweets that match a user's interests and likes. We propose an Information-Retrieval- like model that leverages the content of the user's tweets and those of her friends, and that effectively retrieves a set of tweets that is personalized and varied in nature. Our approach could be easily leveraged to build, for example, a Twitter or Facebook timeline that collects messages that are of interest for the user, but that are not posted by her friends. We compare to typical approaches used in similar tasks, reporting significant gains in terms of overall preci- sion, up to about +20%, on both a corpus-based evaluation and real world user study.
URL: http://dl.acm.org/citation.cfm?id=2396786
DOI: 10.1145/2396761.2396786
Subject Twitter recommendation
Information Filtering
H.4 [Information Systems Applications]: Miscellaneous;
H.3.4 [INFORMATION STORAGE AND RETRIEVAL]: Systems and Software-User profiles and alert services


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