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گواهی نمایه سازی مقاله Designing a Recommender System in Zoo using Neural Network

عنوان مقاله: Designing a Recommender System in Zoo using Neural Network
شناسه (COI) مقاله: EMASS01_039
منتشر شده در اولین کنفرانس بین المللی اقتصاد، مدیریت، حسابداری و علوم اجتماعی در سال ۱۳۹۳
مشخصات نویسندگان مقاله:

Maedeh Kiani Sarkaleh - Department of Information Technology, Payam e Noor University, I.R.of IRAN
Azadeh Kiani Sarkaleh - Islamic Azad University, Rasht Branch Rasht, Iran
Fatemeh Khoshnood - Sama technical and vocational training college Islamic Azad University, Lahijan Branch Lahijan, Iran
Hossein Baradaran Jamili - Department of Computer Engineering, University of Guilan, Rasht, Iran

خلاصه مقاله:
Big zoos of big cities of the world are considered as the centers for zoology by many researches. In addition they are considered as aplace for attracting tourists. The goal of this research is to help those who are in charge of appropriate transfer of new animals intothe zoo. In order to find the most suitable place for a new animal in the zoo, they are first classified into different groups based ontheir features. Then Euclidian distance between their features is used to find out the best location. The experiments indicate thatusing this method can result in finding appropriate location for animals with a recognition rate equal to %96.2.

کلمات کلیدی:
Data mining, Neural Network, Recommender System

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