Negative implicit feedback in e-commerce recommender systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10192569" target="_blank" >RIV/00216208:11320/13:10192569 - isvavai.cz</a>
Result on the web
<a href="http://dl.acm.org/citation.cfm?id=2479800" target="_blank" >http://dl.acm.org/citation.cfm?id=2479800</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2479787.2479800" target="_blank" >10.1145/2479787.2479800</a>

Result language
angličtina
Original language name
Negative implicit feedback in e-commerce recommender systems
Original language description
In this paper, we imagine the situation of a typical e-commerce portal employing personalized recommendation. Such website typically receives user feedback from their implicit behavior such as time on page, scrolling etc. The implicit feedback is generally understood as positive only, however we present several methods how to identify some of the implicit feedback as negative user preference, how to aggregate various feedback types together and how to recommend based on it. We have conducted several off-line experiments with real user data from travel agency website confirming that treating some implicit feedback as negative preference can significantly improve recommendation quality.
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

Article name in the collection
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
ISBN
1-4503-1850-9
ISSN
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e-ISSN
—
Number of pages
4
Pages from-to
451-454
Publisher name
ACM
Place of publication
New York, NY, USA
Event location
Madrid, Spain
Event date
Jun 12, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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