Identifying Emerging Information Needs of Library Users using Data Mining

Aditi Pawde, Shubhada Apte, Kishore Ingale, Manoj Apte, Girish K Palshikar

Abstract


Library management systems in modern and large libraries capture diverse data about users, including the search queries that user make over the collection. Information needs of the users of information resources change over time, due to changing user base, changes in technology landscape and evolving business environment. To avoid user dis-satisfaction, it is crucial to accurately estimate users’ information needs in a continuous and systematic manner. In this paper, the authors propose a simple data mining technique that analyzes the past user queries and accurately identifies under-provisioned and under-stocked information needs, so that the required information resources can be procured by the library, leading to improved user satisfaction. Further, the authors describe the results obtained by using the technique on a real-life dataset of actual user queries made to the LMS in a large multi-national IT company.


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