Abstract
Due to the information overload in the Internet, it is a hard task to obtain relevant information. New techniques and sophisticated methods are developed to improve efficiency of the searching process. In our research, we focus on a Personalized Document Retrieval System which allows to adjust relevance of searched documents. Based on user data, usage data and social connections between users, it determines up-to-date user profile and recommends better documents. In the work we analyze a methodology for experimental evaluations in simulated environment.
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This research was partially supported by the Polish Ministry of Science and Higher Education.
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Maleszka, B. (2019). On Some Approach to Evaluation in Personalized Document Retrieval Systems. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11431. Springer, Cham. https://doi.org/10.1007/978-3-030-14799-0_18
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DOI: https://doi.org/10.1007/978-3-030-14799-0_18
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