Learning to Schedule Webpage Updates Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{conf/spire/SantosZACMS13,

• author = "Aecio S. R. Santos and Nivio Ziviani and Jussara M. Almeida and Cristiano Carvalho and Edleno {Silva de Moura} and Altigran {Soares da Silva}",
• title = "Learning to Schedule Webpage Updates Using Genetic Programming",
• booktitle = "Proceedings of 20th International Symposium String Processing and Information Retrieval (SPIRE 2013)",
• year = "2013",
• editor = "Oren Kurland and Moshe Lewenstein and Ely Porat",
• volume = "8214",
• series = "Lecture Notes in Computer Science",
• pages = "271--278",
• address = "Jerusalem, Israel",
• month = oct # " 7-9",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, web spider, crawler, webbot",
• bibdate = "2013-09-30",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/spire/spire2013.html#SantosZACMS13",
• isbn13 = "978-3-319-02431-8",
• URL = "http://dx.doi.org/10.1007/978-3-319-02432-5",
• DOI = "doi:10.1007/978-3-319-02432-5_30",
• abstract = "A key challenge endured when designing a scheduling policy regarding freshness is to estimate the likelihood of a previously crawled webpage being modified on the web. This estimate is used to define the order in which those pages should be visited, and can be explored to reduce the cost of monitoring crawled web pages for keeping updated versions. We here present a novel approach to generate score functions that produce accurate rankings of pages regarding their probability of being modified when compared to their previously crawled versions. We propose a flexible framework that uses genetic programming to evolve score functions to estimate the likelihood that a webpage has been modified. We present a thorough experimental evaluation of the benefits of our framework over five state-of-the-art baselines.",

}

Genetic Programming entries for Aecio S R Santos Nivio Ziviani Jussara Marques de Almeida Cristiano Carvalho Edleno Silva de Moura Altigran S da Silva

Citations