In this paper, we present a novel approach for building a paper submission recommendation system by using two different types of embedding methods, GloVe and FastText, as well as Convolutional Neural Network (CNN) and LSTM to extract useful features for a paper submission recommendation model.
Jan 11, 2021
In this paper, we present a novel approach for building a paper submission recommendation system by using two different types of embedding methods, GloVe and ...
In this paper, we present a novel approach for building a paper submission recommendation system by using two different types of embedding methods, GloVe and ...
In this paper, we present a novel approach for building a paper submission recommendation system by using two different types of embedding methods, GloVe and ...
Jan 25, 2021 · A novel approach for building a paper submission recommendation system by using two different types of embedding methods, GloVe and FastText ...
S2CFT: A New Approach for Paper Submission Recommendation · List of references · Publications that cite this publication.
Get details about the chapter of S2CFT: A New Approach for Paper Submission Recommendation from book SOFSEM 2021: Theory and Practice of Computer Science: ...
... S2CFT [12] model has the best performance with the Top 1 accuracy is ... In this paper, we propose a new approach for the paper submission recommendation ...
43 References · S2RSCS: An Efficient Scientific Submission Recommendation System for Computer Science · S2CFT: A New Approach for Paper Submission Recommendation.
PSRMTE: : Paper submission recommendation using mixtures of ...
dl.acm.org › abs › j.eswa.2022.117096
Sep 15, 2022 · This paper investigates the submission recommendation system for two main research topics: computer science and applied mathematics. ... We ...