A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
Lecture Notes in Computer Science
We present SEWeP, a Web Personalization prototype system that integrates usage data with content semantics, expressed in taxonomy terms, in order to produce a broader yet semantically focused set of recommendations.doi:10.1007/978-3-540-30116-5_63 fatcat:bz2cjmsqtjd4dbfr4bwo5ialty