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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
  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 2: Data Mining Methods for Recommender Systems
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Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
1376 Dimensions

Readers on

mendeley
124 Mendeley
citeulike
3 CiteULike
Summary Facebook Dimensions citations
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.
Chapter title
Data Mining Methods for Recommender Systems
Chapter number 2
Book title
Recommender Systems Handbook
Published in
ADS, January 2011
DOI 10.1007/978-0-387-85820-3_2
Book ISBNs
978-0-387-85819-7, 978-0-387-85820-3
Authors

Xavier Amatriain, Alejandro Jaimes*, Nuria Oliver, Josep M. Pujol

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
France 1 <1%
Brazil 1 <1%
Canada 1 <1%
Spain 1 <1%
Poland 1 <1%
Unknown 116 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 32%
Student > Ph. D. Student 20 16%
Student > Bachelor 12 10%
Student > Doctoral Student 7 6%
Researcher 6 5%
Other 16 13%
Unknown 23 19%
Readers by discipline Count As %
Computer Science 74 60%
Engineering 8 6%
Business, Management and Accounting 7 6%
Economics, Econometrics and Finance 3 2%
Linguistics 2 2%
Other 6 5%
Unknown 24 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 April 2015.
All research outputs
#20,267,098
of 22,797,621 outputs
Outputs from ADS
#33,977
of 37,333 outputs
Outputs of similar age
#170,248
of 180,709 outputs
Outputs of similar age from ADS
#718
of 751 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,333 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 180,709 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 751 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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