Recommendation System practices: introduction to the principles of Chinese-original recommendation systems by industry insiders

This book was published in June this year. New. Original Chinese.

I have studied machine learning and Recommendation Systems for graduate students. I have participated in the famous Netflix prize competition in the recommendation system and have achieved remarkable results. I am currently working at the US video website Hulu Beijing branch. The author is still familiar with the research progress on the recommendation system. Therefore, I think this book can be the first choice if you want to read books about the recommendation system. If you only read Chinese, there is no other choice. If you can read English, there are not too many choices.

The book systematically introduces various application scenarios of the recommendation system and common scenarios in the industry.AlgorithmPrinciples and pseudoCode.

The first six chapters introduce four basic ideas for implementing the recommendation system: using user behavior data, using user tag data, using context information, and using social network data. Finally, we provide a recommendation system instance and a scoring prediction problem (based on known data, we predict how many points a user will give to the product.