Intelligent subscription method for government affair data resource directories

Abstract

The invention relates to the technical field of data resource directories, in particular to an intelligent subscription method for government affair data resource directories. The method comprises thefollowing steps: a, searching a service similar department of a subscription department; b, searching a historical subscription directory; c, calculating a reference value contribution value; d, calculating single recommendation indexes of each release department, directory classification and directory tags; e, performing full connection on all release departments, directory classifications and directory tags to generate a plurality of directory attribute combinations; f, calculating a comprehensive recommendation index; g, performing descending sort on all the directory attribute combinations according to the comprehensive recommendation index of each directory attribute combination calculated in the step f; carrying out retrieval according to conditions in sequence, and recommending retrieved directories to a subscription department. Required directory resources are efficiently and accurately recommended to users, convenience is provided for users to subscribe directories, and meanwhile the utilization rate of the resources is increased. The weighting coefficient can be dynamically adjusted according to the actual effect, and certain adaptability is achieved.

Description

technical field [0001] The invention relates to the technical field of data resource catalogs, in particular to an intelligent subscription method for government affairs data resource catalogs. Background technique [0002] Government data resources are organized in the form of directories, which can be easily used. The directory provides services in the way of publishing and subscribing. The resource provider publishes the directory, and the resource user subscribes to the published directory. [0003] However, since the catalog of government affairs data resources covers a wide range, many departments, and a large number, it is often difficult for departments to quickly find useful resources when subscribing to the catalog, which is not conducive to the business realization of the department and also affects the effective use of resources. Therefore, An intelligent recommendation method for resource catalogs is needed to improve the efficiency of catalog subscriptions. ...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide an intelligent subscription method for the government data resource catalog, and propose a targeted intelligent recommendation algorithm for the business model of the government data resource catalog, which can recommend more valuable resource catalogs with higher efficiency , to solve the problems of low efficiency and low accuracy in recommending catalogs of government affairs data resources,

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