图 书 馆
个性化搜索和推荐系统的深度学习Deep Learning for Personalized Search and Recommender Systems |
|
| 课程网址: | http://videolectures.net/kdd2017_tutorial8_deep_learning/ |
| 主讲教师: | Liang Zhang; Benjamin Le |
| 开课单位: | 领英公司 |
| 开课时间: | 2017-11-21 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Deep learning has been widely successful in solving complex tasks such as image recognition (ImageNet), speech recognition, machine translation, etc. In the area of personalized recommender systems, deep learning has started showing promising advances in recent years. The key to success of deep learning in personalized recommender systems is its ability to learn distributed representations of users’ and items’ attributes in low dimensional dense vector space and combine these to recommend relevant items to users. To address scalability, the implementation of a recommendation system at web scale often leverages components from information retrieval systems, such as inverted indexes where a query is constructed from a user’s attribute and context, learning to rank techniques. |
| 关 键 词: | 个性搜索; 系统推荐; 深度学习 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-05-25：chenxin01 |
| 最后编审: | 2023-05-25：chenxin01 |
| 阅读次数: | 18 |