Industrial recommender system principles, technologies and enterprise applications /
Recommender systems, as a highly popular AI technology in recent years, have been widely applied across various industries. They have transformed the way we interact with technology, influencing our choices and shaping our experiences. This book provides a comprehensive introduction to industrial re...
| Main Author: | Hu, Lantao, |
|---|---|
| Other Authors: | Li, Yueting,, Cui, Guangfan,, Yi, Kexin,, SpringerLink (Online Service) |
| Format: | eBook |
| Language: | English Chinese |
| Published: |
Singapore : Beijing :
Springer ; Publishing House of Electronics Industry,
[2024]
|
| Physical Description: |
1 online resource (xv, 246 pages) : illustrations (chiefly color) |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |