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Topic-Driven SocialRank: Personalized search result ranking by identifying similar, credible users in a social network

Article ID Journal Published Year Pages File Type
6862735 Knowledge-Based Systems 2013 13 Pages PDF
Abstract
Experimental validation shows that our method significantly outperforms the baseline method. Our method is potentially effective to find more relevant search results by implicit help of familiar, credible users.
Keywords
CredibilitySocial searchSimilarity
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Preview
Topic-Driven SocialRank: Personalized search result ranking by identifying similar, credible users in a social network
Authors
Young An Kim, Gun Woo Park,
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Journal
Knowledge-Based Systems
Journal: Knowledge-Based Systems
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