User Profiles Modeling in Information Retrieval Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86081477" target="_blank" >RIV/61989100:27240/10:86081477 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-1-84996-074-8_7" target="_blank" >http://dx.doi.org/10.1007/978-1-84996-074-8_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-1-84996-074-8_7" target="_blank" >10.1007/978-1-84996-074-8_7</a>

Result language
angličtina
Original language name
User Profiles Modeling in Information Retrieval Systems
Original language description
The requirements imposed on information retrieval systems are increasing steadily. The vast number of documents in today's large databases and especially on the World Wide Web causes problems when searching for concrete information. It is difficult to find satisfactory information that accurately matches user information needs even if it is present in the database. One of the key elements when searching the web is proper formulation of user queries. Search effectiveness can be seen as the accuracy of matching user information needs against the retrieved information. As step towards better search systems represents personalized search based on user profiles. Personalized search applications can notably contribute to the improvement of web search effectiveness. This chapter presents design and experiments with an information retrieval system utilizing user profiles, fuzzy information retrieval and genetic algorithms for improvement of web search.
Czech name
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Czech description
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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