In most previous work on personalized search algorithms, the results for all queries are personalized in the same manner. However, as we show in this paper, there is a lot of vari...
Our research is about an adaptive keyboard, which autonomously adjusts its predictive features and key displays to current user input. We used personalized word prediction to impro...
In Web-based services of dynamic content (such as news articles), recommender systems face the difficulty of timely identifying new items of high-quality and providing recommendat...
The need for personalized summaries of media content has been driven by the recent and anticipated explosive growth in the media world. In this paper we present a methodology and ...
Lalitha Agnihotri, John R. Kender, Nevenka Dimitro...
We present an approach to learning the personal preferences of individual users directly from example images. The target application is computer assisted search of partners in onl...