Publication | Closed Access
The loquacious user
72
Citations
23
References
2005
Year
Unknown Venue
EngineeringCommunicationCorpus LinguisticsQuery SuggestionText MiningNatural Language ProcessingInformation RetrievalData ScienceComputational LinguisticsAmbiguous QueriesRelevance FeedbackQuery ExpansionUser ModelingUser-generated ContentUser ExperienceFeedback FormQuery AnalysisInformation ProblemsSocial ComputingHuman-computer InteractionArtsLoquacious UserSocial ProfilingInteractive Information Retrieval
In this paper we investigate the effectiveness of a document-independent technique for eliciting feedback from users about their information problems. We propose that such a technique can be used to elicit terms from users for use in query expansion and as a follow-up when ambiguous queries are initially posed by users. We design a feedback form to obtain additional information from users, administer the form to users after initial querying, and create a series of experimental runs based on the information that we obtained from the form. Results demonstrate that the form was successful at eliciting more information from users and that this additional information significantly improved retrieval performance. Our results further demonstrate a strong relationship between query length and performance.
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