A System for Adaptive Information Retrieval
In this paper, we describe the design and development of personal information assistant (PIA), a system aiming to meet individual needs of the searchers. The system’s goal is to provide more up-to-date and relevant information to users with respect to their needs and interests. The main component of the system is a profile learner for capturing temporal user needs, based on implicit feedback gathering techniques. It monitors the system usage, the documents viewed and other user actions in order to infer users’ changing needs.
KeywordsExtractor Algorithm Query Term Additional Document Term Extractor Gathering Model
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- 1.Chen, L., Syraca, K.: Webmate: A Personal Agent for Browsing and Searching. In: Proceedings of the 2nd International Conference on Autonomous Agents, pp. 132–139Google Scholar
- 2.Dennis, S., McArthur, R., Bruza, P.: Searching the WWW made easy? The Cognitive Load imposed by Query Refinement Mechanisms. In: Proceedings of the 3rd Australian Document Computing Symposium (1998)Google Scholar
- 6.Nelson, M.R.: We Have the Information You Want, But Getting It Will Cost You: Being Held Hostage by Information Overload. ACM Crossroads 1(1) (1994)Google Scholar