Titlebook: Recommender Systems Handbook; Francesco Ricci,Lior Rokach,Paul B. Kantor Book 20111st edition Springer-Science+Business Media, LLC 2011 Co

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Developing Constraint-based Recommenders&taste products such as books, movies, or news. However, especially in the context of products such as cars, computers, appartments, or financial services those approaches are not the best choice (see also Chapter 11). For example, apartments are not bought very frequently which makes it rather infe

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Context-Aware Recommender Systemsn, information retrieval, ubiquitous and mobile computing, data mining, marketing, and management. While a substantial amount of research has already been performed in the area of recommender systems, most existing approaches focus on recommending the most relevant items to users without taking into

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Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics owho implement them. By conceptualizing the advice seeking and giving relationship as a fundamentally social process, important avenues for understanding the persuasiveness of recommender systems open up. Specifically, research regarding the influence of source characteristics, which is abundant in t

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