Toward deep multi-view document clustering using enhanced semantic embedding and consistent context semantics
Y Du, H Sun, MJ Abdollahi - Knowledge and Information Systems, 2024 - Springer
Multi-view document clustering (MVDC) is a sophisticated approach in natural language
processing that leverages multiple representations or views of data to improve clustering …
processing that leverages multiple representations or views of data to improve clustering …
[PDF][PDF] In-depth Recommendation Model Based on Self-Attention Factorization.
H Ma, Q Liu - KSII Transactions on Internet & Information Systems, 2023 - itiis.org
Rating prediction is an important issue in recommender systems, and its accuracy affects the
experience of the user and the revenue of the company. Traditional recommender systems …
experience of the user and the revenue of the company. Traditional recommender systems …
Biclustering and coclustering: concepts, algorithms and viability for text mining
AKR Diaz, SM Peres - Revista de Informática Teórica e Aplicada, 2019 - seer.ufrgs.br
Biclustering and coclustering are data mining tasks capable of extracting relevant
information from data by applying similarity criteria simultaneously to rows and columns of …
information from data by applying similarity criteria simultaneously to rows and columns of …