Term-weighting approaches in automatic text retrieval
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Automatic text processing: the transformation, analysis, and retrieval of information by computer
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ParaSite: mining structural information on the Web
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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
Information Retrieval
Lectures on information retrieval
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Modeling vagueness in information retrieval
Lectures on information retrieval
Information retrieval and structured documents
Lectures on information retrieval
Introduction to Modern Information Retrieval
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Using the structure of HTML documents to improve retrieval
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FuzzyFresh: A Fuzzy Logic Approach to the Ranking of Structured Documents
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Modelling field dependencies on structured documents with fuzzy logic
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
The adaptive web
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The diffusion of the World Wide Web and the consequent increase in the production and exchange of textual information demand the development of effective information retrieval systems. The HyperText Markup Language (HTML) is broadly employed for defining the "typographical" appearance of documents over the Internet and Intranets. In this paper an indexing model of HTML documents is proposed. In this model the index term weight is computed by weighting the term occurrences differently, according to the tags in which they appear.