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Recommender systems have been around for several years as tools intended to discover items that are likely to be of interest for the users, as inferred from profiles that gather information about web pages they visit, TV programs they watch or commercial products they purchase. In this paper, we introduce health-related aspects as a new dimension of the user profiles, enabling a number of features...
Recommender systems aim at solving the problem of information overload by selecting items (commercial products, educational assets, TV programs, etc) that match the users' interests and preferences. Recently, there have been approaches to drive the recommendations by the information stored in electronic health records, for which the traditional strategies applied in e-commerce, e-learning, entertainment...
The development of the Interactive Digital TV technologies has the potential to open new possibilities for e-commerce, linked to the broadcasting of audiovisual contents. To cater for the advertising needs, the early initiatives are resorting to the techniques traditionally employed by the television industry, which have proven deficiencies related to targeting and viewers’ comfort. In response to...
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.