Improved algorithms for topic distillation in a hyperlinked environment
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Automatic resource compilation by analyzing hyperlink structure and associated text
WWW7 Proceedings of the seventh international conference on World Wide Web 7
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Focused crawling: a new approach to topic-specific Web resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Accessibility of information on the Web
intelligence
Does “authority” mean quality? predicting expert quality ratings of Web documents
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The stochastic approach for link-structure analysis (SALSA) and the TKC effect
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
SALSA: the stochastic approach for link-structure analysis
ACM Transactions on Information Systems (TOIS)
Enhanced topic distillation using text, markup tags, and hyperlinks
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Web page scoring systems for horizontal and vertical search
Proceedings of the 11th international conference on World Wide Web
Proceedings of the 11th international conference on World Wide Web
Machine Learning
Hyperlink Analysis for the Web
IEEE Internet Computing
Learning to Probabilistically Identify Authoritative Documents
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Focused Crawling Using Context Graphs
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
MumbleSearch Extraction of High Quality Web information for SME
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A Web Surfer Model Incorporating Topic Continuity
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Exact and Approximate Graph Matching Using Random Walks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Push-Style Guidance System for Technical Document Writing
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
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Ontology summarization based on rdf sentence graph
Proceedings of the 16th international conference on World Wide Web
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MNav: A Markov Model-Based Web Site Navigability Measure
IEEE Transactions on Software Engineering
Fuzzy web surfer models: theory and experiments
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An information theoretic web site navigability classification
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RELIN: relatedness and informativeness-based centrality for entity summarization
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Finding important vocabulary within ontology
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Virtual network embedding through topology awareness and optimization
Computer Networks: The International Journal of Computer and Telecommunications Networking
Social networks and web minorities
Cognitive Systems Research
BipRank: ranking and summarizing RDF vocabulary descriptions
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
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Abstract--The definition of efficient page ranking algorithms is becoming an important issue in the design of the query interface of Web search engines. Information flooding is a common experience especially when broad topic queries are issued. Queries containing only one or two keywords usually match a huge number of documents, while users can only afford to visit the first positions of the returned list, which do not necessarily refer to the most appropriate answers. Some successful approaches to page ranking in a hyperlinked environment, like the Web, are based on link analysis. In this paper, we propose a general probabilistic framework for Web Page Scoring Systems (WPSS), which incorporates and extends many of the relevant models proposed in the literature. In particular, we introduce scoring systems for both generic (horizontal) and focused (vertical) search engines. Whereas horizontal scoring algorithms are only based on the topology of the Web graph, vertical ranking also takes the page contents into account and are the base for focused and user adapted search interfaces. Experimental results are reported to show the properties of some of the proposed scoring systems with special emphasis on vertical search.