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Weighted content based methods for recommending connections in online social networks

Abstract:

Online Social Networks currently have an important role in the life of millions of active internet users. Cases like Twitter are of special attention since a lot of connections are made between people who never met before and with no need of reciprocation. For this reason it is important to find new ways to provide recommendations that may be of interest for users. Should these recommendations focus on the popularity, on the activity, location, common friends or content? Should recommendation...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
Publisher:
Association for Computing Machinery Publisher's website
Journal:
Workshop on Recommender Systems and the Social Web in the 2010 ACM Recsys Conference Journal website
Pages:
68-71
Host title:
2nd Workshop on Recommender Systems and the Social Web: Held in conjunction with ACM RecSys on 26 September, 2010 in Barcelona, Spain
Publication date:
2010-09-26
Source identifiers:
631365
Keywords:
Pubs id:
pubs:631365
UUID:
uuid:20b6a178-5484-470a-9e7f-9f90a531b626
Local pid:
pubs:631365
Deposit date:
2016-06-30

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