000			02676nam a22002897a 4500
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003			CITU
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008			210823b ||||| |||| 00| 0 eng d
020			_a9780511763113
041			_aeng.
082			_a006.33
245			_aRecommender systems : _ban introduction / _cDietmar Jannach [and others].
264		1	_aCambridge: _bCambridge University Press, _cc2012
300			_a1 online resource (xv, 335 pages) :
336			_2rdacontent _atext _btext
337			_2rdamedia _acomputer _bc
338			_2rdacarrier _aonline resource _bcr
505			_a1. Introduction; Part I. Introduction into Basic Concepts: 2. Collaborative recommendation; 3. Content-based recommendation; 4. Knowledge-based recommendation; 5. Hybrid recommendation approaches; 6. Explanations in recommender systems; 7. Evaluating recommender systems; 8. Case study - personalized game recommendations on the mobile Internet; Part II. Recent Developments: 9. Attacks on collaborative recommender systems; 10. Online consumer decision making; 11. Recommender systems and the next-generation Web; 12. Recommendations in ubiquitous environments; 13. Summary and outlook.
520			_aIn this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems.
650		0	_aPersonal communication service systems.
650		0	_aRecommender systems (Information filtering).
655		0	_aElectronic books.
700	1		_aJannach, Dietmar. _d1973-
856			_yFull text available at Cambridge Online Library Click here to view _uhttps://www.cambridge.org/core/books/recommender-systems/C6471B59388D8A9F684C49C198691B53
942			_2ddc _cER