Using Implicit Preference Relations to Improve Content Based Recommending
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10314898" target="_blank" >RIV/00216208:11320/15:10314898 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-27729-5_1" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-27729-5_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-27729-5_1" target="_blank" >10.1007/978-3-319-27729-5_1</a>
Alternative languages
Result language
angličtina
Original language name
Using Implicit Preference Relations to Improve Content Based Recommending
Original language description
Our work is generally focused on recommending for small or medium-sized e-commerce portals, where we are facing scarcity of explicit feedback, low user loyalty, short visit times or low number of visited objects. In this paper, we present a novel approach to use specific user behavior as implicit feedback, forming binary relations between objects. Our hypothesis is that if user select some object from the list of displayed objects, it is an expression of his/her binary preference between selected and other shown objects. These relations are expanded based on content-based similarity of objects forming partial ordering of objects. Using these relations, it is possible to alter any list of recommended objects or create one from scratch. We have conductedseveral off-line experiments with real user data from a Czech e-commerce site with keyword based VSM and SimCat recommenders. Experiments confirmed competitiveness of our method, however on-line A/B testing should be conducted in the fut
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
E-Commerce and Web Technologies, 16th International Conference on Electronic Commerce and Web Technologies, EC-Web 2015, Valencia, Spain, September 2015, Revised Selected Papers
ISBN
978-3-319-27728-8
ISSN
1865-1348
e-ISSN
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Number of pages
14
Pages from-to
3-16
Publisher name
Springer
Place of publication
Berlin
Event location
Valencia, Spain
Event date
Sep 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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