Karen Tso-Sutter
Towards Metadata-Aware Algorithms for Recommender Systems
Gebonden EN 2010 9783631598412Levertijd ongeveer 16 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9783631598412
Taal:EN
Bindwijze:Gebonden
Aantal pagina's:117
Uitgever:Peter Lang AG
Hoofdrubriek:Inkoop en logistiek, Computer en informatica, Inkoop en logistiek, Marketing
Lezersrecensies
Wees de eerste die een lezersrecensie schrijft!
Anderen die dit boek kochten, kochten ook
-
Michael Hall€ 78,18 -
Lee Krajewski€ 90,94
-
Jessica Gillingham€ 50,94
-
Brigitte Faber-de Lange€ 81,95
-
Gerco Rietveld€ 81,75
-
Jan Engelbregt€ 85,50
Rubrieken
- advisering
- algemeen management
- coaching en trainen
- communicatie en media
- economie
- financieel management
- inkoop en logistiek
- internet en social media
- it-management / ict
- juridisch
- leiderschap
- marketing
- mens en maatschappij
- non-profit
- ondernemen
- organisatiekunde
- personal finance
- personeelsmanagement
- persoonlijke effectiviteit
- projectmanagement
- psychologie
- reclame en verkoop
- strategisch management
- verandermanagement
- werk en loopbaan