User label and hotel label matching method and device based on hotel comments

Abstract

The invention discloses a user label and hotel label matching method and device based on hotel comments. The method comprises the steps that a hotel industry emotional statement template library is prepared; final hotel labels of at least three hotels are prepared; at least two user comments of specific users for one or different hotels are obtained from the internet; emotional statements are compared with the emotional statement template library, matched emotional statements are screened out and recognized to be different dimensions, and all the recognized dimensions are made to form a user label set of the specific users; the weight of each user label is calculated, wherein the higher the occurrence frequency of the user label in all user comments of the specific users is and the lower the occurrence frequency of the user label in all user comments of all users for all hotels is, the higher the weight of the user label is; the user label of the high weight is selected as the final user label of the specific users; a hotel with the high matching rate of the final hotel label and the finial user label of the specific users is recommended to the specific users.

Description

technical field [0001] The invention relates to an Internet information processing method, in particular to a method and device for generating user portraits. Background technique [0002] The changing times will inevitably bring about many social changes. After the Internet gradually enters the era of big data, it will inevitably bring a series of changes and reshaping to the behavior of enterprises and consumers. The fast and unbreakable rhythm of the Internet has disrupted the logic of the original business evolution, making business participants have to face unprecedented changes and adapt to the changes of the times at an accelerated pace. How to use big data to mine potential business value, and how to actually apply big data technology in enterprises. With the discussion and innovation of big data applications, personalized technology has become an important landing point. Compared with traditional offline member management, questionnaire survey, and shopping baske...

AI Technical Summary

Problems solved by technology

[0014] However, the application fields of the user portrait technology disclosed in the above three patent documents do not belong to the hotel industry involved in the present invention

[0015] In the hotel industry, the current research and application of user portrait labeling analysis mainly focus on data such as user attributes and user behaviors. User attribute data includes age, gender, region, etc. Access history, click history, consumption history and other data, there are few researches and applications based on review data

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