Text Book


Recommender Systems: New Comprehensive Textbook by Charu Aggarwal

#artificialintelligence

Algorithms and evaluation: These chapters discuss the fundamental algorithms in recommender systems, including collaborative filtering methods, content-based methods, knowledge-based methods, ensemble-based methods, and evaluation. In addition, recent topics, such as multi-armed bandits, learning to rank, group systems, multi-criteria systems, and active learning systems, are discussed together with applications. For subscribing institutions click from a computer directly connected to your institution network to download the book for free. To be eligible, your institution must subscribe to "e-book package English (Computer Science)" or "e-book package English (full collection)".