Using co-following for personalized out-of-context twitter friend recommendation

Ingmar Weber, Venkata Rama, Kiran Garimella

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

1 Citation (Scopus)

Abstract

We present two demos that give personalized "out-of-context" recommendations of Twitter users to follow. By out-of-context we mean that a user wants to receive recommendation on, say, musicians to follow even though the user's tweets' contents and social links have no connection to the "context" of music. In this setting, where a user has never expressed interest in the context of music, many existing methods fail. Our approach exploits co-following information and hidden correlations where, say, a user's political preference might actually provide clues about their likely music preference. For example, a user u might be recommended a particular music band b because u also follows a set of politicians P, and other users who follow members of P tend to follow b, rather than an alternative b′. We implement this framework in two very distinct settings: one for recommending musicians and one for recommending political parties in Tunisia. Our framework is simple and similar to Amazon's "users who bought X also bought Y" and can be used not only for explainable out-of-context recommendations but also for social studies on, say, which music is "closest" to users of a particular political affiliation. It also helps to introduce and to "link" a user to an unknown domain, say, politics in Tunisia.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014
PublisherThe AAAI Press
Pages654-655
Number of pages2
ISBN (Print)9781577356578
Publication statusPublished - 1 Jan 2014
Event8th International Conference on Weblogs and Social Media, ICWSM 2014 - Ann Arbor, United States
Duration: 1 Jun 20144 Jun 2014

Other

Other8th International Conference on Weblogs and Social Media, ICWSM 2014
CountryUnited States
CityAnn Arbor
Period1/6/144/6/14

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Weber, I., Rama, V., & Garimella, K. (2014). Using co-following for personalized out-of-context twitter friend recommendation. In Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014 (pp. 654-655). The AAAI Press.

Using co-following for personalized out-of-context twitter friend recommendation. / Weber, Ingmar; Rama, Venkata; Garimella, Kiran.

Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014. The AAAI Press, 2014. p. 654-655.

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

Weber, I, Rama, V & Garimella, K 2014, Using co-following for personalized out-of-context twitter friend recommendation. in Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014. The AAAI Press, pp. 654-655, 8th International Conference on Weblogs and Social Media, ICWSM 2014, Ann Arbor, United States, 1/6/14.
Weber I, Rama V, Garimella K. Using co-following for personalized out-of-context twitter friend recommendation. In Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014. The AAAI Press. 2014. p. 654-655
Weber, Ingmar ; Rama, Venkata ; Garimella, Kiran. / Using co-following for personalized out-of-context twitter friend recommendation. Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014. The AAAI Press, 2014. pp. 654-655
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