Information associating method based on user operation record and resource content

Abstract

The invention relates to an information associating method based on a user operation record and resource content. The method comprises the following steps: firstly, automatically excavating a task model (of a user) based on the operation record and a subject model based on the resource content according to the operation history record and the relevant resource content (of the user) in the operation in a personal computer; subsequently, combining the association relationship between the measuring information of the task model and the subject model, and finally finding out other resources which are most relevant to the current resource for the user when the user uses the resource, and recommending the other resources to the user, wherein the user does not need any extra operation in the whole operation process. The task model based on the operation history record and the subject model based on the resource content are automatically excavated, other resources relevant to the resource are automatically recommended as much as possible without any extra operation when the user uses the resources; and the invention aims at saving the time that the user spends in checking the file, so as to guarantee the consistency of user tasks as much as possible, and effectively alleviate the burden of the user to switch over the tasks.

Description

technical field [0001] The invention relates to an information association method based on user operation records and resource content in an operating system environment, and belongs to the technical field of computer software. Background technique [0002] The amount of personal information of today's users is increasing. Excessive information will cause people to waste time, delay decision-making, be unable to focus on main tasks and stress. See the reference file Waddington, P. (1997). Dying for Information? A report on the effects of information overload in the UK and worldwide. Reuters. 1997. Information overload is felt most acutely by knowledge workers, such as professors, lawyers, and engineers, as they perform a variety of tasks in their daily work that require finding and processing large numbers of information. This inevitably creates a problem. When the task is interrupted or the task is switched, it takes a lot of effort to obtain relevant information or resou...

AI Technical Summary

Problems solved by technology

Second, details about items that users can remember are often not available for retrieval

The way of information retrieval can reduce the cost of finding resources for users to a certain extent, but frequent retrieval will interrupt the user's tasks and prevent them from concentrating on the current work.

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