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3results about How to "Increase purchase rate" patented technology

Method and apparatus for recommending goods

ActiveCN115796994BImprove shopping experienceincrease purchase rateDigital data information retrievalCommerceEngineeringDatabase
The embodiment of the present specification provides a commodity recommendation method and device, wherein the commodity recommendation method comprises: displaying a commodity detail interface of a corresponding commodity container in response to a viewing instruction submitted for a target commodity; in the case that a commodity selection instruction submitted through the commodity detail interface is received, loading commodity association data of the target commodity; adding the commodity association data to a recommendation container having a rotation relationship with the commodity container, and rotating from the commodity container to the recommendation container; displaying a recommendation interface containing a commodity addition area and an information recommendation area according to the rotation result; the information recommendation area displays recommendation information associated with the target commodity, and the commodity addition area displays associated commodities associated with the recommendation information. In the case that the user selects and purchases the target commodity, the recommendation information associated with the target commodity and the associated commodities can be recommended to the user, which not only can assist the user to understand the commodity related information, but also can effectively improve the user shopping experience.
Owner:HEMA (CHINA) CO LTD

A store recommendation method based on big data exchange

ActiveCN117150118Bincrease purchase rateGood reasons for returns and exchangesDigital data information retrievalEnergy efficient computingEngineeringData interchange
The application discloses a shop recommendation method based on big data exchange, relates to the technical field of big data exchange, and comprises user information acquisition, user information analysis, user portrait acquisition, user portrait analysis, user maintenance analysis, shop information acquisition and shop information analysis. Through analysis on user information, the use of a shopping platform by users is better understood, so that a favorite evaluation coefficient of each target user in each shop is better obtained. Through analysis on user maintenance, an evaluation evaluation coefficient of each target user in each shop is better obtained. Furthermore, a recommendation evaluation coefficient of each target user in each shop is better analyzed, and each target user obtains each target recommended shop. The application can help users obtain shops that are more suitable for purchasing desired goods, and can deeply understand the preferences and demands of users in shopping.
Owner:SUZHOU MAIJIE IND BIG DATA IND RES INST CO LTD

Intelligent hosting method for whole process of e-commerce operation

PendingCN121998735ASolve the problem of identity fragmentationAchieve seamless collectionBiological modelsCommerceTimestampApplication procedure
The invention belongs to the field of artificial intelligence, and particularly relates to an intelligent hosting method for the whole process of e-commerce operation. The method comprises the following steps: establishing a global unified user identity identification system; user behavior event streams from an application program, an applet and a webpage end are collected in real time and processed in a standardized mode, and the user behavior event streams comprise page browsing, commodity clicking, shopping cart adding, staying duration and rolling depth; and performing timestamp alignment and intention semantic fusion on multi-channel user behavior events based on the global unified user identity identification system to construct a user intention evolution sequence. According to the method, a global unified user identity identification system is constructed, so that the problem of cross-channel user identity splitting is thoroughly solved, and seamless collection of behaviors in anonymous and real-name states is realized; according to the method, an intention semantic enhancement mechanism is introduced, the original behavior event is converted into an enhancement event rich in commodity knowledge and context semantics, and the depth and accuracy of user intention characterization are remarkably improved.
Owner:SHENZHEN JUSHANG DINGLI NETWORK TECH CO LTD