Valuing Contextual Information in Social Networks Andrei Damian, Wolfgang...  Home/Search
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Abstract: Building on previous work on how to model contextual information for desktop search and how to implement semantically rich information exchange in social networks, we define a new algorithm, Peer-Sensitive ObjectRank for ranking resources on the desktop. The new algorithm takes into account different trust values for each peer, generalizing previous biasing PageRank algorithms. (Update)
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BibTeX entry: (Update)
@misc{ information-peersensitive,
author = "Valuing Contextual Information",
title = "Peer-Sensitive ObjectRank",
url = "citeseer.ist.psu.edu/742006.html" }
Citations (may not include all citations):82 Topic-sensitive pagerank - Haveliwala - 2002
14 Objectrank: Authority-based keyword search in databases - Balmin, Hristidis et al. - 2004
10 Activity based metadata for semantic desktop search - Chirita, Gavriloaie et al. - 2005
10 Swoogle: A search and metadata engine for the semantic web (context) - Ding, Finin et al. - 2004
5 Semantically rich recommendations in social networks for sha.. - Ghita, Nejdl et al. - 2005
1 Using odp metadata to personalize search - Chirita, Nejdl et al. - 2005
1 An online adaptive method for personalization of search engi.. (context) - Huang, Liu - 2004
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