A Belief Theoretic Approach to Finding a True Value from Recommendations in E-business

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F14%3A43886775" target="_blank" >RIV/60076658:12510/14:43886775 - 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 Belief Theoretic Approach to Finding a True Value from Recommendations in E-business
Original language description
Recommendation systems have become a common way how to help people when they have to decide in complex selections. Recommender systems have become an integral part of many e-business applications. Various algorithms have been proposed for recommendationsand many business solutions are built for different applications. The algorithms are usually based on models of user preferences, preference relations and their learning. Nevertheless, the best approach does not exist here due to the high complexity anduncertainty of the problem. Therefore, a recommendation system typically includes modules with multiple recommender algorithms and the resultant recommendation is created by combination of more partial results. In this paper, we deal with the determination of the grand truth within solving recommendation problem. We use the framework of Dempster-Shafer theory with focus on information fusion. The experiments results show that our proposed method leads to improvements of recommendation o
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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