A content-based recommender system for computer science publications

As computer science and information technology are making broad and deep impacts on our daily lives, more and more papers are being submitted to computer science journals and conferences. To help authors decide where they should submit their manuscripts, we present the Content-based Journals & C...

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Bibliographic Details
Main Authors:	Feng, X. (Author), Guan, R. (Author), Liang, Y. (Author), Wang, D. (Author), Xu, D. (Author)
Format:	Article
Language:	English
Published:	Elsevier B.V. 2018
Subjects:	Chi-square feature selection Computer science and technologies Computer science publications Content-based Content-based recommender systems Engineering education Feature extraction Hybrid model Learning models Priority order Recommender system Recommender systems Softmax regression Softmax regressions Training sets Web crawler Web services
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

A content-based recommender system for computer science publications

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