We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Traditional email clients are built with a “one-touch” model in mind that assumes an immediate action is performed once an email is read. However, some emails require a follow...
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...
Interpersonal awareness is one person’s up-to-the moment knowledge about other group members, while artifact awareness is one person’s up-to-the-moment knowledge about other g...
Saul Greenberg, Stephen Voida, Nathan Stehr, Kimbe...