Learning ranking functions by genetic programming revisited

  • Authors
  • Baeza-Yates R, Cuzzocrea A, Crea D, Lo Bianco G
  • UPF authors
  • BAEZA YATES, RICARDO ALBERTO;
  • Authors of the book
  • -
  • Book title
  • Lecture Notes in Computer Science
  • Publisher
  • Springer Nature
  • Publication year
  • 2018
  • Pages
  • 378-386
  • ISBN
  • 978-331998811-5
  • Abstract
  • We revisit the use of Genetic Programming (GP) to learn ranking functions in the context of web documents, by adding linking information. Our results show that GP can cope with larger sets of features as well as bigger document collections, obtaining small improvements over the state-of-the-art of GP learned functions applied to web search.
  • Complete citation
  • Baeza-Yates R, Cuzzocrea A, Crea D, Lo Bianco G. Learning ranking functions by genetic programming revisited. In: -. Lecture Notes in Computer Science. 1 ed. San José: Springer Nature; 2018. p. 378-386.
Bibliometric indicators
  • 1 times cited Scopus
  • 1 times cited WOS
  • Índex Scimago de 0