Abstract
Several existing search personalisation techniques tailor the returned results by using information about the user that often contains demographic data, query logs, or history of visited pages.
These techniques still lack awareness about the user’s cognitive aspects like beliefs, knowledge, and search goals. They might return, for example, results that answer the query and fit the user’s interests but contain information that the user already knows. Considering the user’s cognitive components in the domain of Information Retrieval (IR) is still recognized as one of the “major challenges” by the IR community. This paper overviews my recent doctoral work on the exploration of the approaches to represent the user’s cognitive aspects (especially knowledge and search goals) and on the investigation of incorporating them into information retrieval systems. Knowing that those aspects are subject to constant change, the thesis also aims to consider this dynamic characteristic. The research’s objective is to better understand the knowledge acquisition process and the goal achievement task in an IR context. That will help search users find the information they seek for.
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El Zein, D. (2022). Cognitive Information Retrieval. In: Hagen, M., et al. Advances in Information Retrieval. ECIR 2022. Lecture Notes in Computer Science, vol 13186. Springer, Cham. https://doi.org/10.1007/978-3-030-99739-7_58
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DOI: https://doi.org/10.1007/978-3-030-99739-7_58
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