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- W81850189 abstract "How should one cope with information overflow, when there are too many pages on the Web about almost every subject? This thesis addresses the problem of information overflow users face when dealing with Web search results. To go beyond content, it is proposed to classify pages according to the search goals they serve from a user point of view: to download a system, learn some subject or find news about another are quite different user goals. The hypothesis validated in the present dissertation is that it is both technically feasible and understandble to classify Web pages according to user goal. By using machine learning techniques over linguistically inspired features, automatic classifiers were built to distinguish among user needs. Also, several user studies were conducted to assess the understandability of the concepts at stake and the gain achieved by using the particular classification in the display of the results. In addition, this work also tested personalized binary classifiers about specific subjects, trained in small training corpora supplied by the users themselves. With regard to evaluation, both system evaluation and user-centered evaluation were performed. The results show that (i) the user needs classification is understood by the user, (ii) the use of style markers are a reliable path to be investigated (iii) training on small Web corpora is able to generate reliable classifiers, and (iv) search can be eased by classifying search results according to user needs." @default.
- W81850189 created "2016-06-24" @default.
- W81850189 creator A5002313995 @default.
- W81850189 date "2015-10-16" @default.
- W81850189 modified "2023-10-05" @default.
- W81850189 title "Uso de marcadores estilísticos para a busca na Web em português" @default.
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- W81850189 doi "https://doi.org/10.11606/t.55.2005.tde-02102014-151002" @default.
- W81850189 hasPublicationYear "2015" @default.
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