A method for updating the index of educational resources based on the usage of users

Abstract

The invention discloses a method for updating an educational resource index based on the usage of users, comprising the steps of sending a key and a decryption key to the user; constructing educationdata resource database; processing the resource and its corresponding index; processing the query data; returning the ciphertext and the corresponding index to the user; the user sends the encryptioncable corresponding to the resource which is considered good to the server; the server encrypts the index and uploads it to the cloud server, thus completing the process of updating the index. The invention encrypts the resource and the index and sends them to the cloud server, Users can obtain search results, enabling them to obtain the required resources more quickly. Also, according to the usage, the index corresponding to the fine resources can be sent to the server, and the probability of the users obtaining the fine resources can be improved through the update of the index by the server,and the fine educational resources can be extracted from the massive basic education resources, so that the users can obtain better personalized search results, and the search experience of the userscan be improved.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method for updating an educational resource index based on user usage. Background technique [0002] With the rapid development of information technology, especially the rapid development of mobile Internet, the amount of data in the world is doubling every two years. How to obtain the search results you need in the massive data calls for personalized search. However, In order to obtain accurate personalized search results, it may mean that users need to provide more information, including sensitive information of users. In order to protect user privacy and data security, data owners tend to encrypt data first, and then outsource the ciphertext to cloud servers. However, the usability of encrypted data becomes poor. In order to solve this problem, researchers have proposed many searchable encryption schemes. At the same time, with the popularization of online and offline...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, only plaintext search and index building models are often used, but there are too many disadvantages in the existing technology: First, the index construction time is too long, which will not only increase the burden of index construction, but also is not conducive to the update of the index; The cloud server needs to calculate the correlation score between each query and all file indexes. The computing burden of the cloud server cannot be underestimated, which may make the cloud server a performance bottleneck. The third is to protect the user’s private information from the cloud server. The introduction of false keywords not only increases the cost of the cloud server, but also reduces the accuracy of the query, and high query accuracy is the guarantee to improve the user's search experience; Fourth, it cannot select high-quality resources from massive resources

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