Personal tools
You are here: Home → Knowledge Base → The evaluation of a hybrid recommender system for recommendation of movies  

The evaluation of a hybrid recommender system for recommendation of movies

Main information
In this paper we present our approach to generation of movie recommendations. The idea of our hybrid approach is to first separately generate predicted ratings for movies using the contentbased and collaborative recommender modules. Predicted ratings from both recommender engines are then combined into final classification by the hybrid recommender using weighted voting scheme. The basis for the calculations are Pearson’s correlation coefficient, True Bayesian prediction and M5Rules decision rules. The evaluation of the system performance was based on the EachMovie data corpus, for around 7000 users. Preliminary results show that this approach works really well, while there is still some room for improvement. 
No referenced Knowhow defined
WP6: Personalisation and Feedback. 
University of Ljubljana  Matevz Kunaver, Matevz Pogacnik, Tomas Pozrl 
2007-03-15 13:42  Request for more detail


Access and Use Rights
For LIVE project internal research purposes only.  For LIVE project internal development purposes only. 


Protection Status
Copyright University of Ljubljana.  Patent Protection not sought. 
Licensing Protection not sought.  Utility Model Protection not sought. 
 
 
Closed, attachment is not public 


This item is not available for public download. For further information click on Request for more details above

LIVE's knowledge base
  • What is available here?

Here you can search and access the documented work of the LIVE project. Documents include the official reporting of the project's work known as "deliverables", scientific and technical publications, study reports, press material, presentation material  as well as IPR pending material.

  • How can I access the material?

You can search this knowledge base by project partner, work area or key words.

By simply clicking "all" the complete list of documents will be listed.

  • Is everything open to the public?

Please note that only those publications marked in green have been cleared for immediate public access. To request access to those publications not open please click on the "request for more detail" link in the relevant document. Your request will be automatically sent to the authors for consideration.