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This paper presents an analysis of introducing active methodologies in the Computer Architecture course taught in the second year of the Computer Engineering Bachelor's degree program at the University of the Basque Country (UPV/EHU), Spain. The paper reports the experience from three academic years, 2011–2012, 2012–2013, and 2013–2014, in which three types of data were considered for analysis: students'...
There exist numerous analytic tools for computing the social influence of users. Although it is common to find individuals who actively collaborate in several social networks, existing tools do not consider their overall activity; on the contrary, they compute levels by focusing just on a specific online community. Besides, in most of the existing approaches the users' influence grows with the levels...
E-commerce has become a major application domain for recommender systems due to its business interest. These tools aim to identify the products each user may like or find useful, which can boost users' consumption. Particularly, collaborative recommender systems rely on a set of like-minded users to select the products to offer. Taking into account the expertise of the users who drive such decision...
Recommender systems have proven to be an effective response to the information overload problem, by identifying items the users may be interested in. Trust and reputation are being increasingly incorporated in collaborative recommender systems in order to improve their accuracy and reliability, using network structures in which nodes represent users and edges represent trust statements. However, current...
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