Book Details
Format
Hardback or Cased Book
Book Series
Informationstechnologie und Oekonomie
ISBN-10
3631598416
ISBN-13
9783631598412
Edition
New
Publisher
Peter Lang AG
Imprint
Peter Lang AG
Country of Manufacture
DE
Country of Publication
GB
Publication Date
Feb 18th, 2010
Print length
117 Pages
Weight
340 grams
Dimensions
15.50 x 21.80 x 1.30 cms
Product Classification:
Distribution & warehousing managementInformation technology: general issuesEnterprise software
Ksh 6,850.00
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As recommender systems (RS) allow means of guiding consumers through the overloaded choices of products available, the recommendation problem has always been of great interest for both academic and industry. This book reports several research gaps in metadata-aware RS algorithms.
As recommender systems (RS) allow means of guiding consumers through the overloaded choices of products available, the recommendation problem has always been of great interest for both academic and industry. Metadata such as content information about the items (attributes) have typically been used to enrich RS algorithms. Recently, the trend of employing RS has expanded to other e-communities such as social tagging systems, inspiring the possibility to exploit tags to enhance RS. This book reports several research gaps in metadata-aware RS algorithms. In particular, it discusses attribute-aware RS algorithms focusing on the overlooked item prediction problem as well as the new emerging challenge of tag-aware RS algorithms.
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