State-of-the-art recommender systems -- Computing recommendations with collaborative filtering -- Analyzing communal tag relationships for enhanced navigation and user modeling -- Adaptive user profiles -- Modeling users for adaptive information retrieval by capturing user intent -- Ontology-based user competencies modeling for e-learning recommender systems -- Combining relevance information in a synchronous collaborative information retrieval environment -- DemonD -- COBRAS -- Music recommendation by modeling user's preferred perspectives of content, singer/genre and popularity -- Web content recommendation methods based on reinforcement learning -- Collaborating agents for adaptations to mobile users -- A user-centered approach to the retrieval of information in a adapative web site -- Personalized information retrieval in a semantic-based learning environment -- A semantic web based approach for context-aware user query formulation and information retrieval.