We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
Most recommender systems present recommended products in lists to the user. By doing so, much information is lost about the mutual similarity between recommended products. We prop...
Martijn Kagie, Michiel C. van Wezel, Patrick J. F....
There has been a significant increase in interest and participation in social networking websites recently. For many users, social networks are indispensable tools for sharing pe...
Automated recommendation (e.g., personalized product recommendation on an ecommerce web site) is an increasingly valuable service associated with many databases--typically online ...
Many recommendation systems suggest items to users by utilizing the techniques of collaborative filtering (CF) based on historical records of items that the users have viewed, purc...
Yunhong Zhou, Dennis M. Wilkinson, Robert Schreibe...