User Feedback and Preferences Mining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10125001" target="_blank" >RIV/00216208:11320/12:10125001 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-31454-4_41" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-31454-4_41</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-31454-4_41" target="_blank" >10.1007/978-3-642-31454-4_41</a>
Alternative languages
Result language
angličtina
Original language name
User Feedback and Preferences Mining
Original language description
In this paper, we present our vision and some initial experiments on how to anticipate significance, similarity or polarity of various types of (preferably implicit) user feedback and how to form individual user preference for recommendation. Throughoutthe corporate web, we can observe the same patterns or actions in user behavior (e.g. page-view, amount of scrolling, rating or purchasing). Recorded user behavior - user feedback - is often used as base for personalized recommendation, but the connection between the feedback and user preference is often unclear or noisy. Our goal is to analyze user behavior in order to understand its relation to the user preference. We report on some initial experiments on a real-world ecommerce application. We describe our new models and methods how to combine various feedback types and how to learn user preferences.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP202%2F10%2F0761" target="_blank" >GAP202/10/0761: Web Semantization</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Lecture Notes in Computer Science
ISSN
0302-9743
e-ISSN
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Volume of the periodical
neuveden
Issue of the periodical within the volume
7379
Country of publishing house
DE - GERMANY
Number of pages
4
Pages from-to
382-386
UT code for WoS article
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EID of the result in the Scopus database
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