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

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

MME 2014

ISBN

978-80-244-4209-9

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

43-49

Název nakladatele

Univerzita Palackého v Olomouci

Místo vydání

Olomouc

Místo konání akce

Univerzita Palackého v Olomouci

Datum konání akce

10. 9. 2014

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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