Exhibit recommendation method and system for online exhibition

Abstract

The invention discloses an exhibit recommendation method and system for an online exhibition, and the method comprises the steps: building a user portrait through the collection and analysis of the historical behavior data of a user; performing similarity calculation on the word cloud of the user and exhibit information in an exhibit database, and finding out a preset number of exhibit which most conforms to the word cloud of the user for recommendation; performing similarity calculation on the exhibit category preference degree vector of the user and exhibit category preference degree vectors of other users in the user portrait database, finding a preset number of most similar users, and recommending a preset number of exhibits recently browsed by the users; on the basis of the exhibit category browsing trend transfer matrix of the user, generating a sequence only comprising an exhibit category as prediction; for each element in the sequence, finding the hottest exhibit in the current category for recommendation; and mixing the recommendation results to obtain a final result. According to the method, recommendation results are obtained from multiple angles and mixed, so that the quality of targeted service for the user can be improved.

Description

technical field [0001] The invention relates to the field of big data analysis and processing, in particular to an exhibit recommendation method and system for an online exhibition. Background technique [0002] With the continuous expansion of the scale of e-commerce, the concept of "recommended system" also came into being. Faced with a wide range of products, it takes a lot of time for customers to find the products they need to buy. This process of browsing a large amount of irrelevant information and products will undoubtedly lead to the loss of consumers who are submerged in the problem of information overload. The recommendation system is an advanced business intelligence platform based on massive data mining. Its most basic function is to help e-commerce websites provide fully personalized decision support and information services for their customers to shop. [0003] Online exhibition is a product developed under the background of economic globalization. It has the...

AI Technical Summary

Problems solved by technology

[0004] Online exhibitions are not simply moving traditional exhibitions to the Internet. At present, their data mining and analysis technologies are not perfect, and they need to be progressively searched.

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