Recommender Systems The Textbook /

• Κύριος συγγραφέας: Aggarwal, Charu C. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: Computer science.; Data mining.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networ...

Πίνακας περιεχομένων:

• An Introduction to Recommender Systems
• Neighborhood-Based Collaborative Filtering
• Model-Based Collaborative Filtering
• Content-Based Recommender Systems
• Knowledge-Based Recommender Systems
• Ensemble-Based and Hybrid Recommender Systems
• Evaluating Recommender Systems
• Context-Sensitive Recommender Systems
• Time- and Location-Sensitive Recommender Systems
• Structural Recommendations in Networks
• Social and Trust-Centric Recommender Systems
• Attack-Resistant Recommender Systems
• Advanced Topics in Recommender Systems.