Titlebook: Recommender Systems for the Social Web; José J. Pazos Arias,Ana Fernández Vilas,Rebeca P. Book 2012 Springer-Verlag GmbH Berlin Heidelber

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Group Recommender Systems: New Perspectives in the Social Webr, we revise state of the art approaches on group formation, modelling and recommendation, and present challenging problems to be included in the group recommender system research agenda in the context of the Social Web.

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Intelligent Systems Reference Libraryhttp://image.papertrans.cn/r/image/824132.jpg

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Manuela I. Martín-Vicente,Alberto Gil-Solla,Manuel Ramos-Cabrere demonstrated that single sequence variants predictive of common human disease are rare. Instead, disease risk is thought to be the result of a confluence of many genes acting in concert, often with no statistically significant individual effects. The detection and characterization of such gene-gen

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Ido Guylgorithms (EDAs). Distribution Estimation Using Markov network (DEUM) is one of the early EDAs to use this approach. Over the years, several different versions of DEUM have been proposed using different Markov network structures, and are shown to work well in a number of different optimisation probl

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e demonstrated that single sequence variants predictive of common human disease are rare. Instead, disease risk is thought to be the result of a confluence of many genes acting in concert, often with no statistically significant individual effects. The detection and characterization of such gene-gen

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