Building Effective Recommender Systems
(Sprache: Englisch)
Recommender systems are a valuable means for online users to cope with the virtual information overload. Development of them is a multi-disciplinary effort, and this book covers all aspects of, and important techniques for, recommender systems.
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Produktinformationen zu „Building Effective Recommender Systems “
Recommender systems are a valuable means for online users to cope with the virtual information overload. Development of them is a multi-disciplinary effort, and this book covers all aspects of, and important techniques for, recommender systems.
Klappentext zu „Building Effective Recommender Systems “
Recommender systems support the user with the decision-making and buying process. The explosive growth of e-commerce environments has made the issue of information overload increasingly serious. Recommender systems have proven to be a valuable means for online users to cope with the virtual information overload, and is one of the most powerful and popular tools in electronic commerce available today.Development of recommender systems is a multi-disciplinary effort involving experts from various fields such as data mining, artificial intelligence, statistics, human computer interaction, information retrieval/technology, and adaptive user interfaces. Building Effective Recommender Systems is the first comprehensive book which is dedicated entirely to the field of recommender systems. This book covers all aspects and important techniques for recommender systems, such as collaborative filtering, content based techniques, popular hybrid approaches and a detailed tutorial of recommender systems software.
Building Effective Recommender Systems is designed for researchers in the fields of information technology, e-commerce, information retrieval, data mining, databases and statistics, and practitioners that work for well known corporations such as Amazon, Google, Microsoft and AT&&T. This book is also suitable for advanced-level students in computer science as a secondary textbook.
Inhaltsverzeichnis zu „Building Effective Recommender Systems “
Preface.- Foundation. Introduction to Recommender Systems. Useful AI Methods for Recommender Systems. Challenges in Recommender Systems. Evaluation of Recommender Systems.- Techniques. Collaborative Filtering Techniques. Content-Based Techniques. Knowledge-Based Techniques. Demographic Techniques. Community Based Recommender Systems. Hybrid Techniques. PERES A Workbench for Recommender Systems.- Advances in Recommender Systems. Explanations in Recommender Systems. Stereotype-based Recommender Systems. Security and Trust in Recommender Systems. Elicitation of User Preferences. Ontologies and Semantic Web Technologies for Recommender Systems.- Index.
Bibliographische Angaben
- Autoren: Bracha Shapira , Lior Rokach
- 2012, 330 Seiten, mit Abbildungen, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Verlag: Springer Berlin
- ISBN-10: 1441900470
- ISBN-13: 9781441900470
Sprache:
Englisch
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