Collaborative Filtering
Sistema de recomendación de Recreovías, utilizando un modelo híbrido de Collaborative Filtering, Demographic Correlation y Content-Based Filtering
... algoritmos Collaborative Filtering y Content- Based Filtering no generan ninguna recomendación, pero la cantidad de sugerencias aumenta a medida que la cantidad de calificaciones del usuario también ...
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A Balanced Memory-Based Collaborative Filtering Similarity Measure.
... Collaborative filtering recommender systems contribute to alleviating the problem of information overload that exists on the Internet as a result of the mass use of Web ...memory-based collaborative ...
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Applying collaborative filtering to reputation domain: a model for more precise reputation estimates in case of changing behavior by rated participants
... For more reliable calculation of reputation estimates, Dellarocas [1], proposes the incorporation of the Automated Collaborative Filtering (CF) technique to the reputation model. The CF has been used in ...
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Choice of Metrics used in Collaborative Filtering and their Impact on Recommender Systems
... out collaborative filtering (CF) [7]: starting from the ratings expressed by a group of users about a group of items, the aim is to select users who have the most similar ratings or tastes to those of the ...
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Towards reliability in collaborative filtering recommender systems
... The robustness of a RS measures its resistance to different types of attacks intend- ing to influence the recommendation results. For example, in order to promote new movies, producers could hire professionals to inject ...
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A framework for collaborative filtering recommender systems
... for collaborative filtering measures and methods which is capable of not only testing the prediction and recommendation results, but also of other purposes which until now were considered secondary, such as ...
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A collaborative filtering similarity measure based on singularities.
... • Collaborative filtering (CF) based RS (Adomavicius & Tuzhilin, 2005; Herlocker, Konstan, Riedl, & Terveen, 2004; Herlocker, Konstan, Borchers, & Riedl, 1999; Nayak, Weng, & Xu, 2005; ...
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MODELO DE VIGILANCIA TECNOLÓGICA APOYADO POR RECOMENDACIONES BASADAS EN EL FILTRADO COLABORATIVO / TECHNOLOGY SURVEILLANCE MODEL SUPPORTED BY RECOMMENDATIONS BASED ON COLLABORATIVE FILTERING
... El modelo de VT apoyado por recomendaciones basadas en el filtrado colaborativo, propone el uso intensivo de una plataforma colaborativa, donde el investigador creó su perfil de investi[r] ...
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Application of imputation techniques in collaborative filtering based recommender systems
... As the implemented recommender returns a variable number of recommendations depending on the estimated values obtained for the user, the mean number of recommended items depending on the[r] ...
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Improving Collaborative Filtering Based Recommender Systems Using Pareto Dominance
... the filtering performance of the CF RS users? To answer to the first question, they propose using rating histograms, indications of past performance, comparisons to similar rated items, and use of domain specific ...
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A survey on automatic recommenders in the context of institutional repositories
... According to the table above, it can be said that most of the analysed recommenders are based on user-based collaborative filtering. This strategy has both advantages and disadvantages, but it seems that ...
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Incorporating Group Recommendations to Recommender Systems: Alternatives and Performance
... Collaborative filtering has been the most studied method to perform group ...into collaborative filtering combining the predictions generated to each individual member of the group to compute ...
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Collaboro: a collaborative (meta) modeling tool
... the collaborative development of textual DSMLs in an Eclipse-based environment, was presented in a previous work by (Ca´novas Izquierdo & Cabot, ...the collaborative development of graphical DSMLs; (2) ...
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Collaborative systems based on reputation
... To calculate the global reputation of a user, also denoted as trust level, we have used the proposed metric with the parameters we were able to gather from the application in the followi[r] ...
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Collaborative learning to improve speaking
... the collaborative learning, all of the students were asked to complete a student diary after finishing each task, fill in a four scale-rating questionnaire and join a semi-structured interview at the end of the ...
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Collaborative Learning and Autonomy in EFL University Students
... style. Collaborative learning, a theory put forth in the late 1980’s (Whipple, 1987) implies a process of finding partners to interact with, create knowledge and develop learning ...the collaborative model, ...
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Computer supported collaborative learning ontology
... Vega-Gorgojo (2005) presents a Semantic Description of Collaboration Scripts for Service Oriented CSCL Systems trying to overcome IMS LD problems when describing CL, enabling semantic description of CL features, conform ...
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Collaborative Development within Open Source Communities
... The open source collaborative development carried out by open source communities has led to the use and spread of more and more sophisticated collaborative development environments (C[r] ...
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Filtering enhanced traffic management system (ETMS) altitude data
... a filtering procedure. The approach developed for filtering ETMS altitude data includes some specific algorithms for problems found in this particular dataset, and a novel filter to correct isolated bad ...
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TítuloLyapunov filtering of objectivity for Spanish sentiment model
... The significance and contributions of the research work presented in this paper can be summarized as follows: • We propose a framework for subjectivity detection in Spanish by automatica[r] ...
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