Estimating importance of implicit factors in E-commerce recommender systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10192563" target="_blank" >RIV/00216208:11320/13:10192563 - isvavai.cz</a>
Result on the web
<a href="http://dl.acm.org/citation.cfm?id=2254205" target="_blank" >http://dl.acm.org/citation.cfm?id=2254205</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2254129.2254205" target="_blank" >10.1145/2254129.2254205</a>

Result language
angličtina
Original language name
Estimating importance of implicit factors in E-commerce recommender systems
Original language description
In this paper, we discuss the importance of different types of implicit user feedback for creating useful recommendations on an e-commerce website. Each website user may provide us with many different types of implicit feedback and it is difficult to decide which one to use for recommendations. If our recommendation algorithm support using more implicit factors, we should also consider importance and "added value" of each factor. We have identified several widely used implicit factors and conducted realuser online testing in order to compare their usefulness for recommending algorithms. We have also proposed some combinations of implicit factors and a test, to see if they improve recommendation performance in comparison with the single factor ones.
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 2nd International Conference on Web Intelligence, Mining and Semantics
ISBN
978-1-4503-0915-8
ISSN
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e-ISSN
—
Number of pages
4
Pages from-to
1-4
Publisher name
ACM
Place of publication
New York, NY, USA
Event location
Craiova, Romania
Event date
Jun 13, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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