Academic recommendation method and system based on citation network and user proficiency analysis

Abstract

The invention provides an academic recommendation method and system based on a citation network and user proficiency analysis. The academic recommendation method includes the following steps that step 1, a model is adopted to perform analysis so as to obtain a first candidate set; step 2, the academic citation network is adopted to perform analysis so as to obtain a second candidate set; step 3, a third candidate set is obtained through the user proficiency analysis; step 4, the first candidate set, the second candidate set and the third candidate set are filtered and sorted to obtain a recommended candidate set; step 5, the recommended candidate set is displayed. Compared with the prior art, the academic recommendation method has the advantages that the academic recommendation personalization is enhanced and a recommendation system more suitable for researchers is created by combining with the analysis on the citation network and field proficiency on the basis of a traditional recommendation system.

Description

technical field [0001] The present invention designs a search recommendation system, specifically an academic search recommendation method and system that integrates user data collection, topic level analysis, citation relationship network analysis, user proficiency analysis, and candidate set sorting and filtering. Background technique [0002] Scientific and technological progress is an important driving force for the development of all walks of life in our country, and the most cutting-edge force comes from theoretical research and academic innovation. Scientific practice shows that conference journals and papers, patents and related documents are important text files for recording innovations and discoveries, important products of scientific research activities, and the hard work and wisdom of scientific researchers. They are also important materials for students and subsequent researchers to learn. source of scientific progress. If new scientific discoveries are realiz...

AI Technical Summary

Problems solved by technology

However, the proposals of these theories have not been verified and realized through a formed system. The accuracy analysis is based on a large number of paper database samples, or only relevant parameters are listed for user reference, and the recommendation ranking is not combined with the user's own situation. Given User-centered comprehensive evaluation of papers, so it has little value in practical applications and poor user experience

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