Analysis of user attitude and behaviour in evaluating a personalized search engine

  • Authors:
  • Effie Lai-Chong Law;Tomaž Klobučar;Matic Pipan

  • Affiliations:
  • ETH Zürich, Zürich, Switzerland;Institut Jožef Stefan, Ljubljana, Slovenia;Institut Jožef Stefan, Ljubljana, Slovenia

  • Venue:
  • Proceedings of the 13th Eurpoean conference on Cognitive ergonomics: trust and control in complex socio-technical systems
  • Year:
  • 2006

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Abstract

This paper reports an empirical work on user-based relevance evaluation of a personalized search engine (PSE). The aim of the work is threefold: To develop metrics for evaluating PSE; to study how users' trust in personalized information retrieval systems influences their relevance judgments; to identify patterns of relevance criteria applications. Our findings corroborate some of those of the previous work and reveal some new phenomena: the optimality of sample size, consistency of relevance criteria application and role of pre-formed trust in automation.