Evaluating various implicit factors in e-commerce
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Evaluating various implicit factors in e-commerce
Popis výsledku v původním jazyce
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
Název v anglickém jazyce
Evaluating various implicit factors in e-commerce
Popis výsledku anglicky
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
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
CEUR Workshop Proceedings
ISBN
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ISSN
1613-0073
e-ISSN
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Počet stran výsledku
5
Strana od-do
51-55
Název nakladatele
Ceur-WS.org
Místo vydání
Neuveden
Místo konání akce
Dublin, Ireland
Datum konání akce
9. 9. 2012
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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