Boutique resource map construction method and device based on user usage condition

Abstract

The invention discloses a boutique resource map construction method and device based on a user usage condition. The method comprises the steps that a boutique resource base is constructed; according to the usage condition of resources in the boutique resource base by a user, probability distribution of relevant resource usage after the user uses any resource is acquired; according to the probability distribution, an incidence relation among the resources in the boutique resource base is acquired; and according to the incidence relation among the resources in the boutique resource base, a boutique resource map is constructed according to preset resource association rules so that the user can push the resources associated with the current access resource according to the boutique resource map when accessing the resources in the boutique resource base. According to the boutique resource map construction method and device, based on the usage condition of the resources by the user, the resources are visualized by constructing the resource map, the user is helped to know the relation among things and a new fact or a new relation while the quality of the resources is ensured, and the useris promoted to perform a series of brand-new search queries.

Description

technical field [0001] The invention relates to the technical field of databases, in particular to a method and device for constructing a high-quality resource map based on user usage. Background technique [0002] The most commonly used educational resources are online educational resources, and the common way to obtain online educational resources is to obtain them through information query and retrieval with the help of search engines. However, search engines in educational environments cannot meet resource access needs when users' intentions are unclear. At the same time, the quality of resources in educational big data is uneven, and the inferior educational resources among them seriously hinder the learning pace of the general public, discourage the enthusiasm of the general public in learning, and are not conducive to the healthy development of the education field. [0003] At present, the construction of the educational resource library does not take the user's usag...

AI Technical Summary

Problems solved by technology

However, search engines in educational environments cannot meet the resource access needs when users' intentions are unclear.

At the same time, the quality of resources in educational big data is uneven, and the inferior educational resources among them seriously hinder the learning pace of the general public, discourage the learning enthusiasm of the general public, and are not conducive to the healthy development of the education field.

[0003] At present, the construction of the educational resource library does not take the user's usage into consideration, and lacks the interaction with the user. As a result, when a user's search request may represent multiple meanings, the difference between them cannot be understood, and the search results can be Narrow down to the meaning that the user most wants

Since the relationship between resources in the current educational resource library is not perfect enough, it is impossible to better understand the resources searched by users, and to summarize the content related to the search topic, which does not help users understand the relationship between things well, and then Learn about a new fact or connection that prompts a whole new set of search queries

As a result, the resources obtained by users when searching for resources are of low quality or not the resources they want, which seriously reduces the user experience

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