On Some Approach to Evaluation in Personalized Document Retrieval Systems

  • Bernadetta MaleszkaEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11431)


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.


Ontology-based user profile Knowledge integration Experimental evaluations “Cold-start” problem 



This research was partially supported by the Polish Ministry of Science and Higher Education.


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Computer Science and ManagementWroclaw University of Science and TechnologyWroclawPoland

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