TY - GEN
T1 - Linear Concept Approximation for Multilingual Document Recommendation
AU - Salamon, Vilmos Tibor
AU - Tashu, Tsegaye Misikir
AU - Horváth, Tomáš
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021/11/23
Y1 - 2021/11/23
N2 - In this paper, we proposed Linear Concept Approximation, a novel multilingual document representation approach for the task of multilingual document representation and recommendation. The main idea is in creating representations by using mappings to align monolingual representation spaces using linear concept approximation, that in turn will enhance the quality of content-based Multilingual Document Recommendation Systems. The experimental results on JRC-Acquis have shown that our proposed approach outperformed traditional methods on the task of multilingual document recommendation.
AB - In this paper, we proposed Linear Concept Approximation, a novel multilingual document representation approach for the task of multilingual document representation and recommendation. The main idea is in creating representations by using mappings to align monolingual representation spaces using linear concept approximation, that in turn will enhance the quality of content-based Multilingual Document Recommendation Systems. The experimental results on JRC-Acquis have shown that our proposed approach outperformed traditional methods on the task of multilingual document recommendation.
KW - Document recommendation
KW - Latent semantic indexing
KW - Multilingual NLP
KW - Multilingual representation learning
UR - http://www.scopus.com/inward/record.url?scp=85126487194&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-91608-4_15
DO - 10.1007/978-3-030-91608-4_15
M3 - Conference contribution
AN - SCOPUS:85126487194
SN - 9783030916077
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 147
EP - 156
BT - Intelligent Data Engineering and Automated Learning - 22nd International Conference, IDEAL 2021, Proceedings
A2 - Camacho, David
A2 - Tino, Peter
A2 - Allmendinger, Richard
A2 - Yin, Hujun
A2 - Tallón-Ballesteros, Antonio J.
A2 - Tang, Ke
A2 - Cho, Sung-Bae
A2 - Novais, Paulo
A2 - Nascimento, Susana
PB - Springer Science and Business Media Deutschland GmbH
T2 - 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021
Y2 - 25 November 2021 through 27 November 2021
ER -