Multi-policy commercial product recommending system based on context information

Abstract

The invention discloses a multi-strategy commodity recommendation system basing on context information. The recommendation system acquires the operation information of a user through an information acquisition part which is operated by the user, analyzes the operation action of the user and establishes the interest description model of the user. During the interaction process between the user and an electronic commerce website, a recommendation strategy fitting the present user and the context information of the system is dynamically selected according to a strategy selection rule. The recommendation strategy describes and generates a personalized commodity recommendation list according with the interest and the requirement of the user according to the interest of the user. Through the selection of the recommendation strategy, the multi-strategy commodity recommendation system basing on context information improves the adaptability of the system to various applications and system dynamic changes. And compared with the existing recommendation system, the multi-strategy commodity recommendation system basing on context information is improved in the recommendation quality, the recommendation scale and the recommendation performance.

Description

technical field [0001] The invention relates to a multi-strategy recommendation system based on context information in the field of network technology, which is used to analyze user operation behaviors in e-commerce websites, and provide multi-strategy personality based on user and system context information for individual user commodity information requirements Product information recommendation service. Background technique [0002] With the rapid growth of the Internet information service business, the e-commerce information service website also shows a strong trend of rapid development, and the e-commerce website has become an important service platform for enterprises to realize commodity marketing. At the same time, e-commerce websites have also become a convenient tool for users to select and purchase commodities. However, with the increase of the scale of the e-commerce website, the number of commodities it provides has also increased sharply. From providing dozens ...

AI Technical Summary

Problems solved by technology

However, the applicable environment and conditions of the hybrid recommendation system are relatively fixed, and there is no contextual information for users and the system, so it is difficult to adapt to the dynamic changes of user interests and system status, and cannot meet the user's functional and performance requirements, which reduces the user's interest in e-commerce. Satisfaction with website services

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