Predicting user preferences: From semantic to pragmatic metrics of Web navigation behavior

Ion Juvina, Herre Van Oostendorp

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper aims at demonstrating a particular method to extract relevant information from navigation data. Participants had to perform web tasks while their navigation behavior was recorded. Then, they had to rate a list of presents based on the question: "how much would you like to receive this present for your birthday?" The semantic similarities (calculated with Latent Semantic Analysis) between users' navigation paths and presents' descriptions were used as implicit estimates of users' preferences. Results show that users' explicit preferences can be accurately estimated based on users' navigation behavior. Consequently, we propose this method to be used in building user models for adaptive web applications.
Original languageEnglish
DOIs
StatePublished - Jun 2004
EventConference on Dutch Directions in HCI, Dutch HCI '04 - Amsterdam, Netherlands
Duration: Jun 10 2004Jun 10 2004

Conference

ConferenceConference on Dutch Directions in HCI, Dutch HCI '04
Country/TerritoryNetherlands
CityAmsterdam
Period6/10/046/10/04

ASJC Scopus Subject Areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Keywords

  • Implicit preferences
  • User modeling
  • Web navigation

Disciplines

  • Graphics and Human Computer Interfaces
  • Psychology

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