A personalized approach for re-ranking search results using user preferences

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092825" target="_blank" >RIV/61989100:27240/14:86092825 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
A personalized approach for re-ranking search results using user preferences
Original language description
Web search engines provide users with a huge number of results for a submitted query. However, not all returned results are relevant to the user's needs. Personalized search aims at solving this problem by modeling search interests of the user in a profile and exploiting it to improve the search process. One of the challenges in search personalization is how to properly model user's search interests. Another challenge is how to effectively exploit these models to enhance the search quality. In this paper, an effective hybrid personalized re-ranking search approach is proposed by modeling user's search interests in a conceptual user profile, and then exploiting this profile in the re-ranking process. The user profile consists of concepts obtained by hierarchically classifying user's clicked search results into categories. These categories are extracted from the taxonomy of concepts called The Open Directory Project (ODP) where each concept represents a category. Additionally, each conce
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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