A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Personalized e-commerce recommendations
2005
IEEE International Conference on e-Business Engineering (ICEBE'05)
Recommendation systems are special personalization tools that help users to find interesting information and services in complex online shops. Even though today's e-commerce environments have drastically evolved and now incorporate techniques from other domains and application areas such as web mining, semantics, artificial intelligence, user modeling and profiling, etc. setting up a successful recommendation system is not a trivial or straightforward task. This paper argues that by monitoring,
doi:10.1109/icebe.2005.95
dblp:conf/icebe/MarkellouMST05
fatcat:p2jqxwf6irc6ddrhf3cysvw2oy