Recommendation System for Automatic Recovery of Broken Web Links

  • Authors:
  • Juan Martinez-Romo;Lourdes Araujo

  • Affiliations:
  • Dpto. Lenguajes y Sistemas Informáticos, UNED, Madrid, Spain 28040;Dpto. Lenguajes y Sistemas Informáticos, UNED, Madrid, Spain 28040

  • Venue:
  • IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
  • Year:
  • 2008

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Abstract

In the web pages accessed when navigating throughout Internet, or even in our own web pages, we sometimes find links which are not valid any more. The search of the right web pages which correspond to those links is often hard. In this work we have analyzed different sources of information to automatically recover broken web links so that the user can be offered a list of possible pages to substitute that link. Specifically, we have used either the anchor text or the web page containing the link, or a combination of both. We report the analysis of a number of issues arising when trying to recover a set of links randomly chosen. This analysis has allowed us to decide the cases in which the system can perform the retrieval of some pages to substitute the broken link. Results have shown that the system is able to do reliable recommendations in many cases, specially under certain conditions on the anchor text and the parent page.