: Recommender systems are widely used online to support users in finding relevant information. They can be based on different techniques such as content-based and collaborative ...
Katja Niemann, Maren Scheffel, Martin Friedrich, U...
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 ...
Several approaches to collaborative filtering have been studied but seldom have studies been reported for large (several million users and items) and dynamic (the underlying item ...
Abstract--Although temporal context may significantly affect the popularity of items and user preference over items, traditional information filtering techniques such as recommende...
This work addresses a particular kind of cross domain personalization task consisting of selecting simultaneously two items in two different domains and recommending them togethe...