In previous work [8] we presented a casebased approach to eliciting and reasoning with preferences. A key issue in this approach is the definition of similarity between user prefe...
One of the major challenges facing information systems today is that of finding relevant information to satisfy a user's request and presenting it in a preferred form. The po...
It is sometimes a challenge to untangle the large amount of information on the Web. We thus need to adapt this information to a given user in a particular context. This adaptation...
In this paper, we introduce the concept of "user policies" and its applications to the browsing of HTML documents. The objective of policies is to specify user preferenc...
We present Shoechicken, an intelligent agentbased system for rating RSS and Atom news content based on user preferences. The system builds a user profile implicitly by observing a...
Expressing preferences when querying databases is a natural way to avoid empty results and information flooding, and in general to rank results so that the user may first see the ...
Optimizing the hypervolume indicator within evolutionary multiobjective optimizers has become popular in the last years. Recently, the indicator has been generalized to the weight...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...
The idea of using user preferences to assist with information filtering and with providing the most “relevant” answers to queries has recently received some attention from th...
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
This paper provides detail on two key components of the Houdini framework under development at Bell Labs, that enable context-aware and privacy-conscious user data sharing appropr...
Richard Hull, Bharat Kumar, Daniel F. Lieuwen, Pet...