سال انتشار: ۱۳۹۱

محل انتشار: بیستمین کنفرانس مهندسی برق ایران

تعداد صفحات: ۴

نویسنده(ها):

Ammar Jalalimanesh – Information Engineering Department, Iranian Research Institute for Information Science and Technology
Masoud Mansoury – Department of Computer Engineering and Information Technology, Amirkabir University of Technology
Hadi Gandomi – Department of Comuter Engineering, K.N.Toosi University of Technology

چکیده:

This paper introduces architecture for recommender system in domain of interlibrary services. The system works based on rules that was extracted from historical usage logs bythe aid of data mining techniques. The paper also describes experimental results of pilot implementation of system forGhadir project (resource sharing program in Iran). The pilot design and implementation phases were data gathering, preprocessingand warehousing, data mining and association rules extraction that all were described in the paper. The logs of 10 years usage of Ghadir project were processed and stored indata warehouse. Then CLOPE algorithm was applied on data to cluster users. After that decision tree technique was used for rule extraction