Automatic Optimization of Web Recommendations Using Feedback and Ontology Graphs [chapter]

Nick Golovin, Erhard Rahm
2005 Lecture Notes in Computer Science  
Web recommendation systems have become a popular means to improve the usability of web sites. This paper describes the architecture of a rulebased recommendation system and presents its evaluation on two real-life applications. The architecture combines recommendations from different algorithms in a recommendation database and applies feedback-based machine learning to optimize the selection of the presented recommendations. The recommendations database also stores ontology graphs, which are
more » ... d to semantically enrich the recommendations. We describe the general architecture of the system and the test setting, illustrate the application of several optimization approaches and present comparative results.
doi:10.1007/11531371_49 fatcat:mghw6kefsjbateene2q6moebuq