↓ Skip to main content

Recommender Systems Handbook

Overview of attention for book
Recommender Systems Handbook
Springer US

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Recommender Systems Handbook
  3. Altmetric Badge
    Chapter 2 Data Mining Methods for Recommender Systems
  4. Altmetric Badge
    Chapter 3 Content-based Recommender Systems: State of the Art and Trends
  5. Altmetric Badge
    Chapter 4 A Comprehensive Survey of Neighborhood-based Recommendation Methods
  6. Altmetric Badge
    Chapter 5 Advances in Collaborative Filtering
  7. Altmetric Badge
    Chapter 6 Developing Constraint-based Recommenders
  8. Altmetric Badge
    Chapter 7 Context-Aware Recommender Systems
  9. Altmetric Badge
    Chapter 8 Evaluating Recommendation Systems
  10. Altmetric Badge
    Chapter 9 A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment
  11. Altmetric Badge
    Chapter 10 How to Get the Recommender Out of the Lab?
  12. Altmetric Badge
    Chapter 11 Matching Recommendation Technologies and Domains
  13. Altmetric Badge
    Chapter 12 Recommender Systems in Technology Enhanced Learning
  14. Altmetric Badge
    Chapter 13 On the Evolution of Critiquing Recommenders
  15. Altmetric Badge
    Chapter 14 Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations
  16. Altmetric Badge
    Chapter 15 Designing and Evaluating Explanations for Recommender Systems
  17. Altmetric Badge
    Chapter 16 Usability Guidelines for Product Recommenders Based on Example Critiquing Research
  18. Altmetric Badge
    Chapter 17 Map Based Visualization of Product Catalogs
  19. Altmetric Badge
    Chapter 18 Communities, Collaboration, and Recommender Systems in Personalized Web Search
  20. Altmetric Badge
    Chapter 19 Social Tagging Recommender Systems
  21. Altmetric Badge
    Chapter 20 Trust and Recommendations
  22. Altmetric Badge
    Chapter 21 Group Recommender Systems: Combining Individual Models
  23. Altmetric Badge
    Chapter 22 Aggregation of Preferences in Recommender Systems
  24. Altmetric Badge
    Chapter 23 Active Learning in Recommender Systems
  25. Altmetric Badge
    Chapter 24 Multi-Criteria Recommender Systems
  26. Altmetric Badge
    Chapter 25 Robust Collaborative Recommendation
Attention for Chapter 1: Introduction to Recommender Systems Handbook
Altmetric Badge

Mentioned by

policy
1 policy source
patent
12 patents
wikipedia
4 Wikipedia pages
reddit
1 Redditor
q&a
1 Q&A thread

Readers on

mendeley
1434 Mendeley
citeulike
13 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Chapter title
Introduction to Recommender Systems Handbook
Chapter number 1
Book title
Recommender Systems Handbook
Published by
Springer, Boston, MA, January 2011
DOI 10.1007/978-0-387-85820-3_1
Book ISBNs
978-0-387-85819-7, 978-0-387-85820-3
Authors

Francesco Ricci, Lior Rokach, Bracha Shapira, Ricci, Francesco, Rokach, Lior, Shapira, Bracha

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,434 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Brazil 6 <1%
Germany 6 <1%
Spain 6 <1%
Canada 4 <1%
United Kingdom 3 <1%
China 2 <1%
India 2 <1%
France 2 <1%
Chile 1 <1%
Other 10 <1%
Unknown 1392 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 231 16%
Student > Bachelor 146 10%
Student > Ph. D. Student 140 10%
Researcher 75 5%
Student > Doctoral Student 36 3%
Other 138 10%
Unknown 668 47%
Readers by discipline
Readers by discipline Count As %
Computer Science 476 33%
Engineering 76 5%
Business, Management and Accounting 60 4%
Social Sciences 23 2%
Economics, Econometrics and Finance 20 1%
Other 82 6%
Unknown 697 49%