↓ Skip to main content

Intelligent Techniques for Web Personalization

Overview of attention for book
Cover of 'Intelligent Techniques for Web Personalization'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Intelligent Techniques for Web Personalization
  3. Altmetric Badge
    Chapter 2 Modeling Web Navigation: Methods and Challenges
  4. Altmetric Badge
    Chapter 3 The Traits of the Personable
  5. Altmetric Badge
    Chapter 4 Addressing Users’ Privacy Concerns for Improving Personalization Quality: Towards an Integration of User Studies and Algorithm Evaluation
  6. Altmetric Badge
    Chapter 5 Case-Based Recommender Systems: A Unifying View
  7. Altmetric Badge
    Chapter 6 Improving the Performance of Recommender Systems That Use Critiquing
  8. Altmetric Badge
    Chapter 7 Hybrid Systems for Personalized Recommendations
  9. Altmetric Badge
    Chapter 8 Collaborative Filtering Using Associative Neural Memory
  10. Altmetric Badge
    Chapter 9 Scaling Down Candidate Sets Based on the Temporal Feature of Items for Improved Hybrid Recommendations
  11. Altmetric Badge
    Chapter 10 Discovering Interesting Navigations on a Web Site Using SAM I
  12. Altmetric Badge
    Chapter 11 Personalisation of Web Search
  13. Altmetric Badge
    Chapter 12 The Compass Filter: Search Engine Result Personalization Using Web Communities
  14. Altmetric Badge
    Chapter 13 Predicting Web Information Content
  15. Altmetric Badge
    Chapter 14 Mobile Portal Personalization: Tools and Techniques
  16. Altmetric Badge
    Chapter 15 IKUM: An Integrated Web Personalization Platform Based on Content Structures and User Behavior
  17. Altmetric Badge
    Chapter 16 A Semantic-Based User Privacy Protection Framework for Web Services
  18. Altmetric Badge
    Chapter 17 Web Personalisation for Users Protection: A Multi-agent Method
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
19 Mendeley
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.
Title
Intelligent Techniques for Web Personalization
Published by
Springer Berlin Heidelberg, November 2005
DOI 10.1007/11577935
ISBNs
978-3-54-029846-5, 978-3-54-031655-8
Editors

Mobasher, Bamshad, Anand, Sarabjot Singh

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 16%
Student > Ph. D. Student 1 5%
Unknown 15 79%
Readers by discipline Count As %
Business, Management and Accounting 3 16%
Computer Science 1 5%
Unknown 15 79%