This certification system explains the concept, application and algorithm principle of recommendation system, and introduces ali’s recommendation engine product RecEng in detail. Finally, through a micro project, let students build a recommendation system by hand.
The whole process is divided into four parts: data upload, data preprocessing, recommendation system setting and test on-line. Students can refer to this experiment and apply what they have learned to practice in combination with their own business and needs.
Course links:Build personalized recommendation engine system
Through this case, students can understand the concept, application, algorithm principle of recommendation system and the application method of RecEng, ali’s recommendation engine product. Through hands-on practice, students can independently use RecEng, the recommendation engine product, to quickly build enterprise recommendation system.
Class introduction:
01 Recommended system concepts and application scenarios
This section describes the background, concepts, features, and application scenarios of the recommendation engine.
02 Algorithm principle of recommendation engine
This paper introduces the commonly used recommendation engine algorithms, as well as the principles, advantages and disadvantages of each algorithm.
03 RecEng describes the recommended engine
The feature, capability and data model of RecEng are introduced.
04 Recommendation engine RecEng basic operation demonstration
Demonstrates the basic operation of the recommendation engine RecEng.
05 Practice: Build e-commerce recommendation system
This paper introduces how to use RecEng to build a recommendation system to support the recommendation business needs of enterprises.
06 Experiment Manual: Build e-commerce recommendation system
Detailed experimental operation manual, take you step by step to complete the establishment of e-commerce recommendation system.
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