Page retrievability calculator

Leif Azzopardi, Rosanne English, Colin Wilkie, David Maxwell

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Abstract

Knowing how easily pages within a website can be retrieved using the site’s search functionality provides crucial information to the site designer. If the system is not retrieving particular pages then the system or information may need to be changed to ensure that visitors to the site have the best chance of finding the relevant information. In this demo paper, we present a Page Retrievability Calculator, which estimates the retrievability of a page for a given search engine. To estimate the retrievability, instead of posing all possible queries, we focus on issuing only those likely to retrieve the page and use them to obtain an accurate approximation. We can also rank the queries associated with the page to show the site designer what queries are most likely to retrieve the pages and at what rank. With this application we can now explore how it might be possible to improve the site or content to improve the retrievability.
Original languageEnglish
Title of host publicationAdvances in Information Retrieval
Subtitle of host publication36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings
Place of PublicationNew York, NY, USA
Pages737-741
Number of pages5
DOIs
Publication statusPublished - 2014

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International Publishing
Volume8416
ISSN (Print)0302-9743

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Keywords

  • information retrieval
  • page retrievability
  • web searching
  • search engines

Cite this

Azzopardi, L., English, R., Wilkie, C., & Maxwell, D. (2014). Page retrievability calculator. In Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings (pp. 737-741). (Lecture Notes in Computer Science; Vol. 8416). New York, NY, USA. https://doi.org/10.1007/978-3-319-06028-6_85
Azzopardi, Leif ; English, Rosanne ; Wilkie, Colin ; Maxwell, David. / Page retrievability calculator. Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings. New York, NY, USA, 2014. pp. 737-741 (Lecture Notes in Computer Science).
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abstract = "Knowing how easily pages within a website can be retrieved using the site’s search functionality provides crucial information to the site designer. If the system is not retrieving particular pages then the system or information may need to be changed to ensure that visitors to the site have the best chance of finding the relevant information. In this demo paper, we present a Page Retrievability Calculator, which estimates the retrievability of a page for a given search engine. To estimate the retrievability, instead of posing all possible queries, we focus on issuing only those likely to retrieve the page and use them to obtain an accurate approximation. We can also rank the queries associated with the page to show the site designer what queries are most likely to retrieve the pages and at what rank. With this application we can now explore how it might be possible to improve the site or content to improve the retrievability.",
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Azzopardi, L, English, R, Wilkie, C & Maxwell, D 2014, Page retrievability calculator. in Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings. Lecture Notes in Computer Science, vol. 8416, New York, NY, USA, pp. 737-741. https://doi.org/10.1007/978-3-319-06028-6_85

Page retrievability calculator. / Azzopardi, Leif; English, Rosanne; Wilkie, Colin; Maxwell, David.

Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings. New York, NY, USA, 2014. p. 737-741 (Lecture Notes in Computer Science; Vol. 8416).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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AB - Knowing how easily pages within a website can be retrieved using the site’s search functionality provides crucial information to the site designer. If the system is not retrieving particular pages then the system or information may need to be changed to ensure that visitors to the site have the best chance of finding the relevant information. In this demo paper, we present a Page Retrievability Calculator, which estimates the retrievability of a page for a given search engine. To estimate the retrievability, instead of posing all possible queries, we focus on issuing only those likely to retrieve the page and use them to obtain an accurate approximation. We can also rank the queries associated with the page to show the site designer what queries are most likely to retrieve the pages and at what rank. With this application we can now explore how it might be possible to improve the site or content to improve the retrievability.

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Azzopardi L, English R, Wilkie C, Maxwell D. Page retrievability calculator. In Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings. New York, NY, USA. 2014. p. 737-741. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-06028-6_85