User interest discovering method with ontology situation blended in

Abstract

A user interest discovering method with an ontology situation blended in comprises the steps that firstly, a user interest characteristic extracting model based on a second-order hidden Markov model is constructed for complex and multi-dimensional Web user interest behavior characteristic data in an e-commerce website; secondly, situation information capable of reflecting user interests is analyzed, wherein the situation information comprises individual information, environment information, device information and the like; thirdly, a user interest model based on situation ontology is constructed, and meanwhile the interest degree of the user individual information is measured and expressed by using the ideology of fuzzy logic; and lastly, a model is established according to user browsing paths and based on a user interest drifting detection method for a hidden semi-Markov model, and the average value of the average logarithm probable probabilities of a sequence is regarded as a threshold value point which is used for judging whether the interests are drifted. According to the user interest discovering method with the ontology situation blended in, the interest model capable of meeting user demands is constructed so as to provide individualized recommendation services and provide an effective means to improve the user satisfaction degree, and the user interest discovering method has good application value.

Description

technical field [0001] The invention relates to the field of data mining and ontology technology, in particular to a user interest mining method, which is especially applicable to the problem of user personalized information service. Background technique [0002] Network applications are becoming more and more complex, and the amount of data is also increasing. Some tasks such as e-commerce and web site design have become more complicated and heavy. Dynamically adjust the structure of the web page in terms of behaviors such as visit frequency and visit frequency, and carry out e-commerce in a targeted manner to meet user needs and provide personalized services. The personalized information service of the Internet is a service that automatically organizes and adjusts information according to different characteristics of users and user hobbies, and solves problems such as user information confusion with a fast, efficient and accurate information acquisition method. Based on t...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of the existing data mining methods that cannot meet the needs of users to provide personalized recommendation services, the present invention constructs an interest model that can meet the needs of users to provide personalized recommendation services and an effective means to improve user satisfaction. Provides a user interest mining method integrated into the ontology context

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