Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
WebBase: a repository of Web pages
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
What is this page known for? Computing Web page reputations
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 11th international conference on World Wide Web
Mining the Web's Link Structure
Computer
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A Web Surfer Model Incorporating Topic Continuity
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 15th international conference on World Wide Web
Topical link analysis for web search
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Stanford WebBase components and applications
ACM Transactions on Internet Technology (TOIT)
Ranking by community relevance
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
From whence does your authority come?: utilizing community relevance in ranking
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Quantifying sentiment and influence in blogspaces
Proceedings of the First Workshop on Social Media Analytics
Mining neighbors' topicality to better control authority flow
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
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Web pages, like people, are often known by others in a variety of contexts. When those contexts are sufficiently distinct, a page's importance may be better represented by multiple domains of authority, rather than by one that indiscriminately mixes reputations. In this work we determine domains of authority by examining the contexts in which a page is cited. However, we find that it is not enough to determine separate domains of authority; our model additionally determines the local flow of authority based upon the relative similarity of the source and target authority domains. In this way, we differentiate both incoming and outgoing hyperlinks by topicality and importance rather than treating them indiscriminately. We find that this approach compares favorably to other topical ranking methods on two real-world datasets and produces an approximately 10% improvement in precision and quality of the top ten results over PageRank.