User similarity-based collaborative filtering recommendation algorithm
Collaborative filtering recommendation algorithms widely used in e-commerce, recommend interesting content for users from massive data resources by studying their preferences and interests. The focus of similarity and evaluation have been changed when applied to social networks, however, they cause...
Сохранить в:
| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Chinês |
| Опубликовано: |
Editorial Department of Journal on Communications
2014-02-01
|
| Серии: | Tongxin xuebao |
| Предметы: | |
| Online-ссылка: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.003/ |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|