Action Based Feature Extraction from User Logs

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00301379" target="_blank" >RIV/68407700:21230/16:00301379 - isvavai.cz</a>
Result on the web
<a href="https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxpY21sMjAxNmVyc29uYWxpemF0aW9ufGd4OjE3ZjU3NjZhN2QxOTRhMTI" target="_blank" >https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxpY21sMjAxNmVyc29uYWxpemF0aW9ufGd4OjE3ZjU3NjZhN2QxOTRhMTI</a>
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Action Based Feature Extraction from User Logs
Original language description
The need of creating user profiles arises from applications like Customer Relationship Management and Web Personalization. These customer models than can be used to create machine learning models that predict user’s preference in web pages or the likelihood of him buying a product. We developed a general method that can create user profiles, that capture long term as well as short term user behaviour. By using different types of windowed features we were able to create models in the Attribute Value Learning paradigm. These models perform well in the areas of gaming as well as large news site.
Czech name
—
Czech description
—

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of The 33rd International Conference on Machine Learning
ISBN
—
ISSN
1532-4435
e-ISSN
—
Number of pages
8
Pages from-to
—
Publisher name
Microtome Publishing
Place of publication
Brookline
Event location
New York
Event date
Jun 24, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)