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Published in:
2014 | OriginalPaper | Chapter
Evaluating Profile Convergence in Document Retrieval Systems
Authors : Bernadetta Maleszka, Ngoc Thanh Nguyen
Published in: Intelligent Information and Database Systems
Publisher: Springer International Publishing
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In many document retrieval systems the user is not supported until sufficient information about him is collected. In some other systems randomly selected documents are recommended but they may not be relevant. To avoid so-called “cold-start problem” a method for determining a non-empty profile for a new user is presented in this paper. The experimental evaluations are usually performed using a few real users. This is a time- and cost-consuming method of evaluations, so we propose the methodology of experiments using simulations of user activities. The results were statistically analyzed and have shown that using the proposed method, the adaptation process allows to building a profile that is closer to user preference than in the situation when the first user profile is empty.