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Recommender Systems Handbook
Overview of attention for book
Recommender Systems Handbook
Springer US
Table of Contents
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Book Overview
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Chapter 1
Introduction to Recommender Systems Handbook
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Chapter 2
Data Mining Methods for Recommender Systems
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Chapter 3
Content-based Recommender Systems: State of the Art and Trends
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Chapter 4
A Comprehensive Survey of Neighborhood-based Recommendation Methods
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Chapter 5
Advances in Collaborative Filtering
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Chapter 6
Developing Constraint-based Recommenders
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Chapter 7
Context-Aware Recommender Systems
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Chapter 8
Evaluating Recommendation Systems
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Chapter 9
A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment
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Chapter 10
How to Get the Recommender Out of the Lab?
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Chapter 11
Matching Recommendation Technologies and Domains
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Chapter 12
Recommender Systems in Technology Enhanced Learning
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Chapter 13
On the Evolution of Critiquing Recommenders
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Chapter 14
Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations
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Chapter 15
Designing and Evaluating Explanations for Recommender Systems
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Chapter 16
Usability Guidelines for Product Recommenders Based on Example Critiquing Research
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Chapter 17
Map Based Visualization of Product Catalogs
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Chapter 18
Communities, Collaboration, and Recommender Systems in Personalized Web Search
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Chapter 19
Social Tagging Recommender Systems
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Chapter 20
Trust and Recommendations
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Chapter 21
Group Recommender Systems: Combining Individual Models
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Chapter 22
Aggregation of Preferences in Recommender Systems
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Chapter 23
Active Learning in Recommender Systems
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Chapter 24
Multi-Criteria Recommender Systems
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Chapter 25
Robust Collaborative Recommendation
Overall attention for this book and its chapters
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About this Attention Score
In the top 5% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (98th percentile)
High Attention Score compared to outputs of the same age and source (99th percentile)
Mentioned by
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1
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1
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7
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137
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3
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q&a
7
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podcasts
1
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Book overview
1. Introduction to Recommender Systems Handbook
2. Data Mining Methods for Recommender Systems
3. Content-based Recommender Systems: State of the Art and Trends
4. A Comprehensive Survey of Neighborhood-based Recommendation Methods
5. Advances in Collaborative Filtering
6. Developing Constraint-based Recommenders
7. Context-Aware Recommender Systems
8. Evaluating Recommendation Systems
9. A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment
10. How to Get the Recommender Out of the Lab?
11. Matching Recommendation Technologies and Domains
12. Recommender Systems in Technology Enhanced Learning
13. On the Evolution of Critiquing Recommenders
14. Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations
15. Designing and Evaluating Explanations for Recommender Systems
16. Usability Guidelines for Product Recommenders Based on Example Critiquing Research
17. Map Based Visualization of Product Catalogs
18. Communities, Collaboration, and Recommender Systems in Personalized Web Search
19. Social Tagging Recommender Systems
20. Trust and Recommendations
21. Group Recommender Systems: Combining Individual Models
22. Aggregation of Preferences in Recommender Systems
23. Active Learning in Recommender Systems
24. Multi-Criteria Recommender Systems
25. Robust Collaborative Recommendation
Summary
News
Blogs
Policy documents
X
Patents
Facebook
Wikipedia
Google+
Reddit
Q&A
Podcasts
So far, Altmetric has seen
1
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Recommendation Systems Explained
towards data science,
12 Jul 2021
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