Towards a Followee Recommender System for Information Seeking Users in Twitter

@inproceedings{Armentano2011TowardsAF,
  title={Towards a Followee Recommender System for Information Seeking Users in Twitter},
  author={Marcelo Armentano and Daniela Godoy and Anal{\'i}a Amandi},
  year={2011}
}
Micro-blogging activity taking place in sites such as Twitter gains everyday more importance as a source of real-time information and news spreading medium. Finding relevant information sources among the increasing number of Twitter members is essential for users needing to cope with real-time information. In this paper we study Twitter aiming at generating a set of recommendations to a target user consisting in people who publish tweets that might be interesting to him/her. We evaluate and… CONTINUE READING

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