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User Preference Web Search -- Experiments with a System Connecting Web and User

Gurský, Peter; Horvath, Tomas; Jirásek, Jozef; Krajči, Stanislav; Novotny, Róbert; Pribolová, Jana; Vaneková, Veronika; Vojtáš, Peter


Peter Gurský

Tomas Horvath

Jozef Jirásek

Stanislav Krajči

Róbert Novotny

Jana Pribolová

Veronika Vaneková

Peter Vojtáš


We present models, methods, implementations and experiments with a system enabling personalized web search for many users with different preferences. The system consists of a web information extraction part, a text search engine, a middleware supporting top-k answers and a user interface for querying and evaluation of search results. We integrate several tools (implementing our models and methods) into one framework connecting user with the web. The model represents user preferences with fuzzy sets and fuzzy logic, here understood as a scoring describing user satisfaction. This model can be acquired with explicit or implicit methods. Model-theoretic semantics is based on fuzzy description logic f-EL. User preference learning is based on our model of fuzzy inductive logic programming. Our system works both for English and Slovak resources. The primary application domain are job offers and job search, however we show extension to mutual investment funds search and a possibility of extension into other application domains. Our top-k search is optimized with own heuristics and repository with special indexes. Our model was experimentally implemented, the integration was tested and is web accessible. We focus on experiments with several users and measure their satisfaction according to correlation coefficients.


Gurský, P., Horvath, T., Jirásek, J., Krajči, S., Novotny, R., Pribolová, J., …Vojtáš, P. (2009). User Preference Web Search -- Experiments with a System Connecting Web and User. Computing and Informatics, 28(4), 1001-1033

Journal Article Type Article
Online Publication Date Jan 26, 2012
Publication Date 2009
Deposit Date Apr 2, 2024
Journal Computing and Informatics
Print ISSN 1335-9150
Publisher Slovak Academy of Sciences
Peer Reviewed Peer Reviewed
Volume 28
Issue 4
Pages 1001-1033
Keywords Web search, information extraction, top-k optimization, fuzzy ILP, user preference learning/mining, text indexing, natural language processing in inflective languages, fuzzy DL, fuzzy RDF, relevant objects, user preferences
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