01991nam a2200205Ia 4500 CTU_238257 210402s9999 xx 000 0 und d 006.33 R311 Recommender systems handbook Francesco Ricci ... [et al.] Edited New York Springer 2011 This edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user 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 systems. Hệ thống gợi ý nâng cao (Advanced Recommendation system) CTK607 Hệ thống dịch vụ giao tiếp cá nhân,Hệ thống gợi ý (Lọc thông tin),Personal communication service systems,Recommender systems (Information filtering),Personal communication service systems vtbtruc Trung tâm Học liệu Trường Đại học Cần Thơ