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Related Concept Videos

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Mining Spatial Transcriptomics Datasets using DeepSpaceDB
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Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia.

Robert West1, Ashwin Paranjape1, Jure Leskovec1

  • 1Stanford University.

Proceedings of the ... International World-Wide Web Conference. International WWW Conference
|December 4, 2015
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Summary

This study introduces a new method for finding missing hyperlinks in Wikipedia by analyzing user navigation paths. The approach prioritizes links that improve article discoverability and enhance the user

Keywords:
AlgorithmsExperimentationHuman FactorsNavigationWikipediaWikispeediabrowsinghuman computationlink prediction

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Area of Science:

  • Information Science
  • Computer Science
  • Web Science

Background:

  • Hyperlinks are crucial for navigating the World Wide Web, especially for online encyclopedias like Wikipedia.
  • Missing hyperlinks in Wikipedia hinder user comprehension and exploration of related content.
  • Existing methods for identifying missing links primarily focus on link structure, not navigational utility.

Purpose of the Study:

  • To develop a novel approach for identifying missing hyperlinks in Wikipedia.
  • To prioritize the discovery of links that enhance the navigability of Wikipedia articles.
  • To leverage human navigation data to improve link recommendation.

Main Methods:

  • Utilizing navigation path data from a Wikipedia-based human-computation game.
  • Analyzing user traces to identify potential missing links that aid navigation.
  • Ranking candidate links based on their potential to improve Wikipedia's navigability.

Main Results:

  • The proposed method successfully identifies high-quality missing links.
  • The approach effectively enhances the navigational structure of Wikipedia.
  • Human navigational traces provide valuable insights for link prediction.

Conclusions:

  • A novel method for identifying missing Wikipedia links based on navigational enhancement has been developed.
  • Leveraging human-computation game data offers a promising avenue for improving web encyclopedias.
  • The findings suggest that focusing on navigability leads to more effective link recommendations.