A technology surveillance model supported by recommendations based on collaborative filtering

Technology surveillance has a special place nowadays, in the success and development of R+D+i process, in research centers and academic environment. Technology surveillance in universities and research centers is focused in the constant analysis of the research lines, research leaders, collaborations chances and current trends in specific research fields. This paper presents a technology surveillance model supported by recommendations by an application that takes into account the preferences of the researchers in the academic environment. The recommender system uses the collaborative filtering technique in order to compute the behavior and past user interactions and infer the recommendations. This approach allows recommending useful, automatic and proactive collaboration possibilities and topics of interest which are discussed within the scientific community in general. Y. ABREU-LEE, M. B. INFANTE-ABREU, T. DELGADO-FERNANDEZ, M. DELGADO-FERNANDEZ 168 Ingenieria Industrial/ISSN 1815-5936/Vol. XXXIV/No. 2/mayo-agosto/2013