Improved algorithms for topic distillation in a hyperlinked environment
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Automatic resource compilation by analyzing hyperlink structure and associated text
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Mining the Web: Discovering Knowledge from HyperText Data
Mining the Web: Discovering Knowledge from HyperText Data
Lexical and semantic clustering by web links
Journal of the American Society for Information Science and Technology - Special issue: Webometrics
Algorithmic detection of semantic similarity
WWW '05 Proceedings of the 14th international conference on World Wide Web
People search: Searching people sharing similar interests from the Web
Journal of the American Society for Information Science and Technology
Personalized ontology for web search personalization
COMPUTE '08 Proceedings of the 1st Bangalore Annual Compute Conference
Adaptive combination of tag and link-based user similarity in flickr
Proceedings of the international conference on Multimedia
Detecting hot events from web search logs
WAIM'10 Proceedings of the 11th international conference on Web-age information management
A Chinese web page automatic classification system
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Evaluating semantic similarity using GML in geographic information systems
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Query approximation by semantic similarity in GeoPQL
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
On exploiting content and citations together to compute similarity of scientific papers
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Search engines use content and link information to crawl, index, retrieve, and rank Web pages. The correlations between similarity measures based on these cues and on semantic associations between pages therefore crucially affects the performance of any search tool. Here I begin to quantitatively analyze the relationship between content, link, and semantic similarity measures across a massive number of Web page pairs. Maps of semantic similarity across textual and link similarity highlight the potential and limitations of lexical and link analysis for relevance approximation, and provide us with a way to study whether and how text and link based measures should be combined.