Recommender Systems The Textbook
from the Massachusetts Institute of Technology in 1996. He has published more than 300 papers in refereed conferences and journals, and has applied for or been granted more than 80 patents. He is author or editor of 15 books, including a textbook on data mining and a comprehensive book on outlier an...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2016, 2016
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| Edition: | 1st ed. 2016 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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