A mission location recommender system to missioner byusing clustering based collaborative filtering

سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 564

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شناسه ملی سند علمی:

JR_ACSIJ-4-6_019

تاریخ نمایه سازی: 4 خرداد 1395

چکیده مقاله:

By expansion of religion mission boards to further parts ofIran, and also many different mission needs and increasingnumber of missions and mission locations, traditional andmanual methods of missioner dispatch are not fast and accurateenough for dispatching manager’s needs anymore. So, there isa need for an intelligent system which can improve dispatchingprograms by assisting the missioners in selecting the suitablelocation. Application of recommender systems is a suitablesolution to this problem. Collaborative filtering is the mostcommonly used and effective recommendation techniqueamong different types of recommender systems.This paper presents a mission location recommender systembased on collaborative filtering method. Traditional CFmethod is not scalable for the increasing number of missioners.To address this issue, this paper proposes developing a missionlocation recommender system based on clustering techniquesfollowed by collaborative filtering. The experimental resultsshow that the cluster based collaborative filtering hasacceptable performance and it is the most accurate and scalableuser based CF

نویسندگان

Razieh Qiasi

Department of Computer, Sama technical and vocational training collage, Islamic Azad University, Qom Branch,Qom, Iran

Seyyed Hassan Hani-Zavarei

Department of Information Technology, University of QomQom, Iran

Behrooz Minaei-Bidgoli

Department of Computer Engineering, University of Scienceand TechnologyQom, Iran