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Recommender Systems Handbook

Overview of attention for book
Cover of 'Recommender Systems Handbook'

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
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    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
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    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
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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
policy
1 policy source
twitter
9 X users
patent
11 patents
facebook
2 Facebook pages
wikipedia
5 Wikipedia pages
googleplus
2 Google+ users

Citations

dimensions_citation
1376 Dimensions

Readers on

mendeley
2684 Mendeley
citeulike
5 CiteULike
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Title
Recommender Systems Handbook
Published by
ADS, January 2011
DOI 10.1007/978-0-387-85820-3
ISBNs
978-0-387-85819-7, 978-0-387-85820-3
Authors

Ricci, Francesco, Rokach, Lior, Shapira, Bracha, Kantor, Paul B

Editors

Francesco Ricci, Lior Rokach, Bracha Shapira, Paul B. Kantor

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2,684 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 21 <1%
United States 18 <1%
Spain 13 <1%
China 8 <1%
United Kingdom 8 <1%
Brazil 7 <1%
France 6 <1%
Netherlands 5 <1%
Iran, Islamic Republic of 5 <1%
Other 68 3%
Unknown 2525 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 669 25%
Student > Ph. D. Student 490 18%
Student > Bachelor 369 14%
Researcher 176 7%
Student > Doctoral Student 97 4%
Other 340 13%
Unknown 543 20%
Readers by discipline Count As %
Computer Science 1533 57%
Engineering 193 7%
Business, Management and Accounting 106 4%
Social Sciences 42 2%
Economics, Econometrics and Finance 36 1%
Other 180 7%
Unknown 594 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2024.
All research outputs
#942,669
of 25,837,817 outputs
Outputs from ADS
#263
of 26,744 outputs
Outputs of similar age
#4,204
of 195,911 outputs
Outputs of similar age from ADS
#7
of 521 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,744 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 195,911 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 521 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.