As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
There is a strong demand for developing automated tools for extracting pertinent information from the biomedical literature that is a rich, complex, and dramatically growing resou...
Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
Context-awareness for information retrieval is challenging problem as information about the users current situation is rarely available. If such information would be available, re...