Retrieving Web Pages using Content, Links, URLs and Anchors

T.H.W. Westerveld, Wessel Kraaij, Djoerd Hiemstra

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For this year’s web track, we concentrated on the entry page finding task. For the content-only runs, in both the ad-hoc task and the entry page finding task, we used an information retrieval system based on a simple unigram language model. In the Ad hoc task we experimented with alternatieve approaches to smoothing. For the entry page task, we incorporated additional information into the model. The sources of information we used in addition to the document’s content are links, URLs and anchors. We found that almost every approach can improve the results of a content only run. In the end, a very basic approach, using the depth of the path of the URL as a prior, yielded by far the largest improvement over the content only results.
Original languageEnglish
Title of host publicationProceedings of the Tenth Text REtrieval Conference (TREC 2001)
EditorsE.M Voorhees, D.K. Harman
Place of PublicationGaithersburg, Maryland, USA
PublisherNational Institute for Science and Technology (NIST)
Number of pages10
Publication statusPublished - 2002
EventTenth Text REtrieval Conference, TREC-10 2001 - Gaithersburg, United States
Duration: 13 Nov 200116 Nov 2001
Conference number: 10

Publication series

NameNIST Special Publication
PublisherNational Institute for Science and Technology (NIST)
VolumeSP 500


ConferenceTenth Text REtrieval Conference, TREC-10 2001
Abbreviated titleTREC
Country/TerritoryUnited States


  • EWI-7365
  • METIS-204321
  • IR-66475


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