Context-Aware Ranking with Factorization Models
Context-aware ranking is an important task with many applications. E.g. in recommender systems items (products, movies, ...) and for search engines webpages should be ranked. In all these applications, the ranking is not global (i.e. always the same) but depends on the context. Simple examples for c...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2011. |
| シリーズ: | Studies in Computational Intelligence
330 |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Context-Aware Ranking with Factorization Models, Texte imprimé, 9783642168970 • Context-Aware Ranking with Factorization Models, Texte imprimé, 9783642423970 • Context-Aware Ranking with Factorization Models, Texte imprimé, 9783642168970 • Context-Aware Ranking with Factorization Models, Texte imprimé, 9783642168994 |