Topic: Application of NLP technology in recommendation system
Guest: Henry
Application of NLP technology in recommendation system
Teacher Profile:
Graduated from the Department of Electronics, Shanghai Jiao Tong University, he is now working in a large Domestic Internet company and has worked in Well-known Internet companies such as Tencent and Baidu. He has rich practical experience and technical accumulation in the fields of big data processing, recommendation system and deep learning.
Sharing Outline:
1. NLP problems in the recommendation system
2. Word vector technology and its application
3. RNN technology and application based on attention mechanism
Target income (hotspot, knowledge point, target income, suitable for the crowd) :
1. Understand the application scenarios of Chinese text features in the recommendation system
2. Understand NLP classical algorithms such as Word embedding, RNN and Attention
3. Understand how to integrate traditional recommendation systems into deep learning methods
