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Analysis of book circulation data and a book recommendation system in academic libraries using data mining techniques
Affiliation:1. Department of Knowledge and Information Science, Faculty of Psychology and Educational Sciences, Shahid Chamran University of Ahvaz, Golestan Boulevard, Ahvaz 6135783151, Iran;2. Information Management Department, Regional Information Center for Science and Technology (RICeST), Jame Jam Avenue, Islamic Republic Boulevard, Shiraz 71946-9417, Iran;1. School of History and Archive, 2 Cuihu N Rd, Kunming, Yunnan University, 650091, China;2. Library, 2 Cuihu N Rd, Kunming, Yunnan University, 650091, China;1. Information Science & Knowledge Studies Dept., University of Tehran, Jalal Al-Ahmad and Chamran highways intersection Tehran, PO Box 1411713114, Iran;2. Risk Management Research Centre, IIEES, No. 21, Arghavan St., North Dibajee, Farmanieh, Tehran, PO Box: 19537-14453, Iran;3. Faculty of Management, University of Tehran, Jalal Al-Ahmad and Chamran highways intersection Tehran, PO Box 1411713114, Iran
Abstract:The use of data mining modern technology in library management systems and information centers is of great importance. With the increasing availability of a large quantity of information, traditional tools and practices without wasting time and cost cannot respond to users accurately and quickly. The present study aims to analyze book circulation transactions and discover the user's book loan patterns to develop a recommender system. The data included 109,639 transactions and information from 8636 user records. Microsoft SQL Server and Matlab software were applied to analyze the data. Item-based collaborative filtering algorithms and decision tree methods were also applied. The results led to the extraction of rules for suggesting books to users. Analysis of the circulation data could be applied to address many issues like evaluation, collection acquisition policies, allocating funding for materials, and suggesting approaches to deselecting and allocating physical space for materials.
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