Social Web Artifacts for Boosting Recommenders : Theory and Implementation
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...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Cham :
Springer International Publishing
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2013. |
| Edice: | Studies in Computational Intelligence
487 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Social Web Artifacts for Boosting Recommenders, Texte imprimé, 9783319005263 • Social Web Artifacts for Boosting Recommenders, Texte imprimé, 9783319032870 • Social Web Artifacts for Boosting Recommenders, Texte imprimé, 9783319005287 • Social Web Artifacts for Boosting Recommenders, Texte imprimé, 9783319005263 |
Obsah:
- Part I Laying Foundations Part II Use of Taxonomic Knowledge Part III Social Ties and Trust Part IV Amalgamating Taxonomies and Trust