Instance Ranking with Multiple Linear Regression: Pointwise vs. Listwise Approaches

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2014

Autores

João Brito (Autor) FEUP; João Mendes-Moreira (Autor) FEUP

Ata de Conferência Internacional

Título: PROCEEDINGS OF THE 2014 9TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI 2014)

Páginas: 1040-1045

9th Iberian Conference on Information Systems and Technologies (CISTI)

Barcelona, SPAIN, JUN 18-21, 2014

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Físicas > Ciência de computadores > Cibernética > Inteligência artificial

Outras Informações

ID Authenticus: P-00A-3X7

DOI: 10.1109/cisti.2014.6877057

Abstract (EN): This paper presents a comparison between listwise and pointwise approaches for instance ranking using Multiple Linear Models. A theoretical review of both approaches is performed, including the evaluation methods. Experiments done in seven datasets from 4 different problems show that the pointwise approach is slightly better or similar than the listwise approach. However the models obtained with the listwise approach are more interpretable because they have in average fewer features than the models obtained with the pointwise approach. The obtained results are important for problems where interpretable ranking models are necessary.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6