Titlebook: Strafrecht Allgemeiner Teil; Personale Straftatle Georg Freund,Frauke Rostalski Textbook 2019Latest edition Springer-Verlag GmbH Deutschlan

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Georg Freund,Frauke Rostalskiter introduces the basic principles of recommender systems, including introducing the basic assumptions of recommendation algorithms from the perspective of machine learning, introducing how to define the recommendation problem in the form of a machine learning problem, and emphatically introducing

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Georg Freund,Frauke Rostalski users come across in the online world. From an organizational and economic perspective, recommender systems are designed to increase the quality of matches between users and items or content and this way create value for the different stakeholders. They do so, for instance, by reducing consumers’ i

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Georg Freund,Frauke Rostalskion . features, which are obtained by processing . or . characteristics of the items. In this setting, the adoption of semantics-aware representations can be very useful to build a more precise representation of users and items, and, in turn, to generate better recommendations. To this end, this chap

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Georg Freund,Frauke Rostalskises a system designer that wishes to employ a recommendater system must choose between a set of candidate approaches. A first step towards selecting an appropriate algorithm is to decide which properties of the application to focus upon when making this choice. Indeed, recommender systems have a var

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