Industrial Internet product recommendation system and method
An industrial Internet and recommendation system technology, applied in the field of industrial Internet product recommendation systems, can solve problems such as missed opportunities for cooperation, and achieve the effect of increasing opportunities for cooperation and improving user experience.
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Embodiment 1
[0044] This embodiment provides an industrial Internet product recommendation system, such as figure 1 As shown, it includes platform product information management module, user information management module, user behavior log management module, recommendation engine management module, recommendation generation module and user terminal;
[0045] The platform product information management module is used to receive platform product information and classify the platform product information according to the feature labels of the platform products, and then store the classified platform product information; the classified platform product information is stored in the platform product information Database, the feature tags of platform products include name, type, industry, price, feature tags, etc.; this module is mainly entered and maintained by the management terminal responsible for product information management.
[0046] The user information management module is used to receiv...
Embodiment 2
[0103] On the basis of Embodiment 1, this embodiment provides a method for recommending industrial Internet products, such as figure 2 shown, including the following steps:
[0104] Real-time detection of user registration information and user behavior logs to determine whether it is a new user, if so, call the user registration information and generate a user attribute vector, and then generate a user portrait according to the attribute vector; if not, call the user behavior log and generate a user interest vector, and then combine user attribute vectors to generate user portraits;
[0105] Choose a recommendation strategy;
[0106] Generate and output a list of product recommendations.
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