Studies in Computational Intelligence

Social Web Artifacts for Boosting Recommenders

Theory and Implementation

Authors: Ziegler, Cai-Nicolas

  • Shows how to use Web Knowledge for Boosting Recommenders
  • Presents trust and classification taxonomies for recommender systems
  • Written by an expert in the field
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About this book

Recommender systems, software programs that learn from human behavior and make predictions of what products we are expected to appreciate and purchase, have become an integral part of our everyday life. They proliferate across electronic commerce around the globe and exist for virtually all sorts of consumable goods, such as books, movies, music, or clothes.

At the same time, a new evolution on the Web has started to take shape, commonly known as the “Web 2.0” or the “Social Web”: Consumer-generated media has become rife, social networks have emerged and are pulling significant shares of Web traffic. In line with these developments, novel information and knowledge artifacts have become readily available on the Web, created by the collective effort of millions of people.

This textbook presents approaches to exploit the new Social Web fountain of knowledge, zeroing in first and foremost on two of those information artifacts, namely classification taxonomies and trust networks. These two are used to improve the performance of product-focused recommender systems: While classification taxonomies are appropriate means to fight the sparsity problem prevalent in many productive recommender systems, interpersonal trust ties – when used as proxies for interest similarity – are able to mitigate the recommenders' scalability problem.

Table of contents (10 chapters)

Buy this book

eBook $119.00
price for USA (gross)
  • ISBN 978-3-319-00527-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-3-319-00526-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-3-319-03287-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Social Web Artifacts for Boosting Recommenders
Book Subtitle
Theory and Implementation
Authors
Series Title
Studies in Computational Intelligence
Series Volume
487
Copyright
2013
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-00527-0
DOI
10.1007/978-3-319-00527-0
Hardcover ISBN
978-3-319-00526-3
Softcover ISBN
978-3-319-03287-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIX, 187
Topics