Recommendation is more than algorithm, the key is to recommendation is data.

Data is the foundation of all algorithm , is the basis of all iteration!

Recommendation is more than algorithm, the key is to recommendation is data.

Data is the foundation of all algorithm!

Data is the basis of all iteration!

Full-process Recommendation system of "Data + Intelligence + Feedback"

Sensors recommender system is a full-process close-loop recommendation scheme. It collects full-end data (involving App, Web, Applet, H5, server, business data, third party, etc.), and uses deep learning and semantic analysis model to form the recommendation engine, and the recommend results can be real-time analyzed and feedback, to realize accurate algorithm iteration.

The technical architecture of Sensors Recommender

The advantages of Sensors Recommender

  • Powerful algorithm function

    Provide advanced machine learning algorithms such as deep learning to ensure excellent recommendation effect.

  • Private deployment

    Enable private deployment, ensure data security, and enable secondary development of algorithm model.

  • Manual intervention

    Provide a visual platform that can get the recommend results more fitting business real demands.

  • Real-time recommendation

    Full-end data collecting, algorithm model calculating, and recommendation results showing are all in real time, to satisfy high effectiveness user experience.

  • “White box” algorithm

    Provide overall solutions to enable your algorithm team. Enable secondary development of algorithm module, and you can call algorithm module and get results flexibly.

  • Accurate algorithm iteration

    Based on outcome analysis, you can flexibly adjust the feature set, iterate the model parameters, and adjust the solution to meet business changes and get higher returns.

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