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Industrial Technology Research Institute

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Intelligent Recommendation System for E-Commerce Technology

Technology Overview

Intelligent Recommendation System for E-Commerce Technology.
Intelligent Recommendation System for E-Commerce Technology.

Intelligent Recommendation System is developed as a Service with multi-tenancy design. Incorporating domain-knowledge can be extended to many cross-domain applications, such as multimedia recommendations, online advertising recommendations, CRM or decision support... to meet the needs of the industry.

Intelligent Recommendation System is developed as a Service with multi-tenancy design. EC vendors could request recommendation services. System includes Data Ingestion, Batch modeling, Nearline storage, Recommendation API, Evaluation, A/B Testing, Management Console modules.

This two-stage composite recommendation technology integrated multiple analytic methods and online usage context detector. Besides, A/B Testing mechanism has been established to simultaneously compare and test a variety of recommended algorithms performance through streaming technology based on optimizing the effectiveness of the recommendation technology.

Two-stage composite recommendation technology integrated multiple analytic methods and online usage context detector.
Two-stage composite recommendation technology integrated multiple analytic methods and online usage context detector.



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