A re-examination of relevance: toward a dynamic, situational definition
Information Processing and Management: an International Journal
User-defined relevance criteria: an exploratory study
Journal of the American Society for Information Science - Special issue: relevance research
A review of web searching studies and a framework for future research
Journal of the American Society for Information Science and Technology
The concept of relevance in IR
Journal of the American Society for Information Science and Technology
What we talk about when we talk about context
Personal and Ubiquitous Computing
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Time, location and interest: an empirical and user-centred study
IIiX Proceedings of the 1st international conference on Information interaction in context
IIiX Proceedings of the 1st international conference on Information interaction in context
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Context features and their use in information retrieval
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
The presentation of health-related search results and its impact on negative emotional outcomes
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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It is recognized by the Information Retrieval community that context aects the retrieval process. Query formulation and relevance assessment are stages where the user role is central. The first determines what the system will search for and the second is frequently used to evaluate how the system behaved. With a large human involvement, these stages are expected to be largely influenced by user and task characteristics. To analyze the influence of these context features on the specified stages of health information retrieval, we conducted a user study in which we collected user features through two questionnaires. User characteristics include features like age, gender, web search experience, health search experience and familiarity with the medical topic. Task features include the medical specialty, the question type, the task's clarity and the task's easiness. Besides user and task features, the relevance assessment analysis also covered features related to the query and document. We found many variables do indeed aect query formulation and relevance judgment. Some of our results question evaluations using test collections and ask for evaluation models that incorporate other kind of success measures.