Personalized paper recommendation method and system thereof

Abstract

The invention discloses a personalized paper recommendation method and a system thereof. The method includes the following steps: step 1, finding out heterogeneous academic network data based on the behavioral characteristics of researchers writing academic papers in the filed of scientific research, and building a training dataset according to the heterogeneous academic network data, and training as per the training dataset to obtain a ranked study model; step 2, on-line building user configuration, generating candidate collected papers interested by users, generating the result of paper recommendation based on the ranked study model according to the candidate collected papers, generating paper recommendation as per a certain manner and returning the paper recommendation to a user based on the result of paper recommendation; step 3, on-line receiving user feedback, and updating the result of paper recommendation correspondingly as per different user feedback. The method and the system effectively solve the problem of cold start at the initial stage of the recommendation system, and guarantee the accuracy and recall rate of the recommendation result.

Description

technical field [0001] The invention relates to the technical field of recommendation, in particular to a user-based personalized paper recommendation method and system for an online socialized academic system. Background technique [0002] Paper review is an important part of the research work of researchers; by reviewing papers, it can not only help researchers understand the latest developments in related research directions, but also provide researchers with new ideas for solving problems. However, with the continuous improvement of scientific research level, the number of papers has also shown a rapid growth trend. As of February 2013, EI alone has included nearly 15 million academic papers. How to find high-quality papers of interest in the massive literature is a difficult problem faced by every researcher. Although academic search engines (such as Google Scholar) can help researchers search for papers to a certain extent, this keyword-based query mode has the follow...

AI Technical Summary

Problems solved by technology

[0013] The purpose of the present invention is to provide a personalized paper recommendation method and its system, which are used to solve the problem that the recommendation results in the prior art cannot well meet the needs of users, and the recommendation system usually faces the problem of "cold start" and the like.

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