Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...
Markus Weimer, Alexandros Karatzoglou, Alex J. Smo...
In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
We investigate the impact of a discussion snippet’s overall sentiment on a user’s willingness to read more of a discussion. Using sentiment analysis, we constructed positive, ...
Hyung-il Ahn, Werner Geyer, Casey Dugan, David R. ...
Abstract. To build high-quality personalized Web applications developers have to deal with a number of complex problems. We look at the growing class of personalized Web Applicatio...
Pieter Bellekens, Kees van der Sluijs, Lora Aroyo,...
Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...