Paper Recommendation Method Based on Scholar Social Platform
TANG Zhikang
LI Chunying
TANG Yong
HUANG Yonghang
CAI Yibin
Abstract：According to the defects that researchers search academic papers.This paper proposed a similar paper recommendation method in scholar social platform that includes several popular search engine, and explainedthe framework of recommendation method and detailed design of the system.This recommendation method executes word-segmentation with ANSJ, calculate the TF-IDF of lemma and extract paper key words in initialization.Next, read the segmentation result to get the word-vectors by Word2Vec, calculate its similarity with querypaperfrom users according to cosine similarity formula.And further, the paper recommendation list will be generated.In the end, the efficacy will be proof by an application instance and quantitative index analysison SCHOLAT paper dataset.
Keywords：academic social networkpaper seekingsimilar paperrecommendation method
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 221-225 )