This paper studies people recommendations designed to help users find known, offline contacts and discover new friends on social networking sites. We evaluated four recommender al...
Jilin Chen, Werner Geyer, Casey Dugan, Michael J. ...
Display characteristics, network Quality of Service, and the user's current task all exhibit a wide range of variation when users interact with mobile and ubiquitous devices....
We propose a Web recommendation system based on a maximum entropy model. Under the maximum entropy principle, we can combine multiple levels of knowledge about users’ navigation...
Searching for images by using low-level visual features, such as color and texture, is known to be a powerful, yet imprecise, retrieval paradigm. The same is true if search relies...
There is an increasing need of development of automatic tools to annotate images for effective image searching in digital libraries. In this paper, we present a novel probabilistic...