User modelling for personalized question answering

Silvia Quarterom, Suresh Manandhar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we address the problem of personalization in question answering (QA). We describe the personalization component of YourQA; our web-based QA system, which creates individual models of users based on their reading level and interests.

First, we explain how user models are dynamically created, saved and updated to filter and re-rank the answers. Then, we focus on how the user's interests are used in YourQA. Finally, we introduce a methodology for user-centered evaluation of personalized QA. Our results show a significant improvement in the user's satisfaction when their profiles are used to personalize answers.

Original languageEnglish
Title of host publicationAI(ASTERISK)IA 2007: ARTIFICIAL INTELLIGENCE AND HUMAN-ORIENTED COMPUTING
EditorsR Basili, MT Pazienza
Place of PublicationBERLIN
PublisherSpringer
Pages386-397
Number of pages12
ISBN (Print)978-3-540-74781-9
Publication statusPublished - 2007
Event10th Congress of the Italian-Association-for-Artificial-Intelligence - Rome
Duration: 10 Sept 200713 Sept 2007

Conference

Conference10th Congress of the Italian-Association-for-Artificial-Intelligence
CityRome
Period10/09/0713/09/07

Keywords

  • INFORMATION-RETRIEVAL
  • SYSTEMS

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