Eliciting user preferences for large datasets and creating rankings based on these preferences has many practical applications in community-based sites. This paper gives a new met...
User preferences for automated assistance often vary widely, depending on the situation, and quality or presentation of help. Developing effective models to learn individual prefe...
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Intelligent agents often need to assess user utility functions in order to make decisions on their behalf, or predict their behavior. When uncertainty exists over the precise natu...
: Quality requirements elicitation for new computer applications rests traditionally on interviewing stakeholders. That makes getting these requirements right more complicated than...
Vladimir A. Shekhovtsov, Roland Kaschek, Sergiy Zl...