Readers’ Demanded Hyperlink Prediction in Wikipedia

Laxmi Amulya Gundala, Francesca Spezzano

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, we describe our on-going research on the problem of predicting needed hyperlinks between pairs of Wikipedia pages (u,v) that are not connected, yet show readers’ search navigation fromu tov. We propose a solution that first estimates how long will these searches last and then predicts new hyperlinks according to descending order of duration. Our initial experimental results show that our best solution achieves an AUROC of 0.77 on the Wikipedia Clickstream dataset and a precision@20% of 1.0 and significantly beats the baselines.

Original languageEnglish
Title of host publicationThe Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
Pages1805-1807
Number of pages3
ISBN (Electronic)9781450356404
DOIs
StatePublished - 23 Apr 2018
Event27th International World Wide Web, WWW 2018 - Lyon, France
Duration: 23 Apr 201827 Apr 2018

Publication series

NameThe Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
Volume2018-January

Conference

Conference27th International World Wide Web, WWW 2018
Country/TerritoryFrance
CityLyon
Period23/04/1827/04/18

Keywords

  • Estimating event duration
  • Hyperlink prediction
  • Wikipedia Clickstream

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