Titlebook: Recommender Systems Handbook; Francesco Ricci,Lior Rokach,Bracha Shapira Book 20152nd edition Springer Science+Business Media New York 201

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Hendrik Drachsler,Katrien Verbert,Olga C. Santos,Nikos Manouselis

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Context-Aware Recommender Systems three popular algorithmic paradigms—contextual pre-filtering, post-filtering, and modeling—for incorporating contextual information into the recommendation process, and survey recent work on context-aware recommender systems. We also discuss important directions for future research.

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People-to-People Reciprocal Recommenderst and explicit user preferences and show that implicit preferences, learned from user interactions, are better predictors of successful interactions. We conclude by outlining some future research directions.

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Book 20152nd editionser interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender system

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eorisation. It brings together scholars in the field who map their respective theoretical apparatuses, reflect on their purchase and illustrate how they have informed their empirical explorations. Diversity of theoretical assumptions has pervaded the literature on the subject from the outset. The av