Correlation assessment method for Internet of Things object information searching and sorting

Abstract

The invention relates to a correlation evaluation method for Internet of Things object information searching and sorting. The method comprises the following steps: 1) establishing a user personalizedinterest model based on user historical query information; 2) establishing a quality scoring mechanism of the article based on the historical query information of the user; and 3) constructing a tripartite graph based on the two contents, and obtaining a correlation score through a random walk algorithm. The method has the beneficial effects that the personalized interest model of the user is mainly established, the quality scoring mechanism of the article attributes is established according to the historical query information of the user, and the correlation evaluation model of the candidatearticles is established. After the model is established, a user-article-article attribute tripartite graph is constructed based on the preference weight of the user and the article attribute quality score; correlation scores of the target user and different candidate items are obtained through a random walk propagation algorithm according to the item attribute tripartite graph, and correlation evaluation of the candidate articles is achieved.

Description

technical field [0001] The invention relates to a correlation evaluation method, in particular to a correlation evaluation method for searching and sorting item information in the Internet of Things. Background technique [0002] With the rapid development and popularization of cheap miniature sensors, wireless communication technology and mobile computing technology, many real-world objects with perception, computing and communication capabilities (such as wearable devices, smart meters, key chains and seats, etc.) will widely exist in the Internet of Things. It can be predicted that, just as the current use of web search engines to find Internet information, with the increasing demand for searching and browsing real-world item information in various application fields (such as environmental monitoring, smart home, smart logistics, and smart construction sites, etc.), it is very likely that People will be able to search and browse information on various items in the real w...

AI Technical Summary

Problems solved by technology

In existing research, due to the heterogeneity of Internet of Things items in terms of functions, models, materials, and manufacturers, users have different requirements for different attributes of items when querying items. For example, when searching for environmental monitoring sensors, some Users like fast collection frequency, and some users prefer low collection cost. Therefore, how to establish a correlation evaluation method for candidate items that varies from person to person is a major problem in the search and ranking of IoT items.

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