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Recommender systems help users to find information that best fits their preferences and needs in an overloaded search space. Most recommender systems research has been focused on the accuracy improvement of recommendation algorithms. Despite this, recently new trends in recommender systems have become important research topics such as, cold start, group recommendations, context-aware recommendations,...
Recommender systems help users to find information that best fits their preferences and needs in an overloaded search space. Most of recommender systems research focuses on improving recommendation methods to obtain a higher accuracy in recommendations. However, the study of user's inconsistencies, so-called natural noise, is becoming a hot topic in Recommender Systems. In this contribution is proposed...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.