Faculty of Informatics and Statistics, Department of Information and Knowledge Engineering (DIKE)

Date and time: June 24 2010 (10:30 – 12:00). Non–standard date or time!

Room: 403 NB


Learning user preferences from user ratings in a web environment


  • Alan Eckhardt, KSI MFF UK

The talk will present the problem of learning user preferences based on the few rating the user associated to objects of interest. User preferences are used for recommendation of most preferred objects, so helping the user to find the best possible product. The talk will focus on content-based recommendation. Various problems will be described with a hint of solution. An overview of possible methods for learning will be also presented along with their practical application.

Downloads: slides 1 

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