A data-to-Intelligence system that thoroughly understands every user’s behaviors in real-time manner and automatically recommend preferred products, information and services that the customers have interests in. This is the key to keep your customers delighted and activated, as well as having click-thru-rate (CTR) and other metrics you desire to improve.
Sensors recommender system is a full-process closed-loop recommendation scheme. It collects full-end data (including app, web, applet, H5, server, business data, third-party data, etc.) and uses deep learning and semantic analysis model to form the recommendation engine. The results can be analyzed in real-time with instant feedback and accurate algorithm iteration.
Provide advanced machine learning algorithms, such as deep learning to ensure excellent recommendation effect.
Enable privatized deployment, ensure data security and secondary development of algorithm model.
Provide a visualized platform that gets the recommendation results in line with actual business demands.
Full-end data collection, algorithm model calculation, and recommendation results shown are all performed in real-time to satisfy high effectiveness and improve user experience.
Provide overall solutions to support your algorithm team. Enable secondary development with algorithm modules and results that could be flexibly transferred.
Flexibly adjust feature sets, iterate model parameters, and adjust possible solutions to meet business modifications to get higher returns.
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