Protection method of private data of users in personalized search environment

Abstract

The invention discloses a protection method of private data of users in personalized search environment. By constructing a tree-like user interest model based on an upper and lower layered structure,respective sequencing of the search results in a server and a client-side is realized on the basis that the initial search engine is not changed; and the dynamic update towards the user interest modelensures that the user interest data acquired by a system are more real-time and accurate. The invention provides a quantitative method of the exposure degree of user privacy, and users can realize self control on privacy exposure, thus realizing the balance between the quality of personalized search and privacy protection. The search results are in the server and the client-side and based on themode of respective sequencing of the user interest model, thus leading the server to select and adjust the intermediate search results in a certain range according to requirements, being capable of effectively improving system performance and being applicable to conditions of restricted search environment.

Description

technical field [0001] The invention relates to a personalized search system and privacy protection technology, in particular to a method for protecting user privacy data in a personalized search environment. Background technique [0002] With the exponential growth of the scale and complexity of data on the Internet, traditional search engines have gradually failed to meet people's needs in the way that different users present the same search results. In response to this problem, the personalized search method emerged as the times require. At present, research institutions and large Internet companies have taken personalized search technology as a research hotspot and launched corresponding intelligent search products. For example, Google and Yahoo respectively proposed a new generation of search products ( Google personalized search) and My Web 2.0 and so on. [0003] Although most of the current personalized search systems can improve the quality of personalized search t...

AI Technical Summary

Problems solved by technology

[0003] Although most personalized search systems can now improve the quality of personalized search to a certain extent, the way user information is processed in a personalized manner on the server side makes the problem of user privacy leaking more and more serious.

On the other hand, the way the search results are processed on the client side increases the difficulty of client-side processing, making it difficult to search on mobile devices such as PDAs whose search environment is very limited.

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