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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
Version:
Publisher's version

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Institution:
University of Oxford
Department:
Oxford, SSD, Oxford Internet Institute
Amatriain, X More by this author
Publisher:
Association for Computing Machinery Publisher's website
Pages:
68-71
Publication date:
2010-09-26
URN:
uuid:20b6a178-5484-470a-9e7f-9f90a531b626
Source identifiers:
631365
Local pid:
pubs:631365
Keywords:

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