By the same authors

User Modeling for Adaptive Question Answering and Information Retrieval

Research output: Contribution to conferencePaper



Publication details

DatePublished - 2006
Original languageUndefined/Unknown


Most question answering (QA) and information retrieval (IR) systems are insensitive to different users’ needs and preferences, and also to the existence of multiple, complex or controversial answers. We propose the notion of adaptivity in QA and IR by introducing a hybrid QA-IR system based on a user model. Our current prototype filters and re-ranks the query results returned by a search engine according to their reading level. This is particularly useful in school environments, where it is most needed to adjust the presentation of complex information to the pupils’ level of understanding.

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