Evaluating various implicit factors in e-commerce

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10192555" target="_blank" >RIV/00216208:11320/13:10192555 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-910/paper11.pdf" target="_blank" >http://ceur-ws.org/Vol-910/paper11.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Evaluating various implicit factors in e-commerce
Original language description
In this paper, we focus on the situation of a typical e-commerce portal employing personalized recommendation. Such website could, in addition to the explicit feedback, monitor many different patterns of implicit user behavior - implicit factors. The problem arises while trying to infer connections between observed implicit behavior and user preferences - while some connections are obvious, others may not. We have selected several often used implicit factors and conducted online experiment on travel agency web site to find out which implicit factors could replace explicit ratings and (if there are more of them) how to combine their values. As utility functions determining recommending efficiency was selected click through rate and conversions rate. Ourexperiments corroborate importance of considering more implicit factors and their different weights. The best individual results were achieved by means of the scrolling factor, the best combination was Priorfito method (lexicographical o
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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