Efficient Top-k Searching According to User Preferences Based on Fuzzy Functions with Usage of Tree-Oriented Data Structures

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10099592" target="_blank" >RIV/00216208:11320/11:10099592 - 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
Efficient Top-k Searching According to User Preferences Based on Fuzzy Functions with Usage of Tree-Oriented Data Structures
Original language description
In the last few years, research of top-k processing is in progress in various domains. The aim of our research is efficient top-k searching of the best k objects with more attributes according to more complex user preferences. We focus on a multi-user solution, where data is common for all users. We use a model of user preferences based on fuzzy functions, where each user can express his/her preferences for each attribute by a fuzzy function and mutual relations between the attributes by an aggregationfunction. In our research we focus on top-k searching in tree-oriented data structures and we developed various top-k algorithms, which support the model of user preferences and solve top-k problem efficiently, i.e. without searching all of objects stored in the tree-oriented data structure. In future research, we want to study various models of user preferences and the usage of relevance feedback in repeated user queries.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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