Improving recommendations through an assumption-based multiagent approach: An application in the tourism domain

► In real situations guesses about the value of missing data is necessary to generate a recommendations. ► An assumption-based multiagent recommender system capable of making assumptions about the preferences of the users. ► Using assumptions in the recommendation of travel packages improves the results provided by the system.