Design and Implementation Recommender System for Iraqi Terrorist Database Based on Deep Learning
Ismael Abdul Sattar, Rafah Shihab Alhamdani, Mohamed N. Abdulla · 2021
Recommendation system become important to deal with huge available information in the social media like Facebook, Twitter and other social networking to recommend and targeting the required users based on his/ her interest. Deep learning used as techniques to construct recommender system for achieving high accuracy with big available data. The proposed system used multi RBM neural network for building recommender system and measuring the interest of the users. The recommender system used to deal with security field through working on the Iraqi terrorism database obtained from global terrorist data. Many analysis process done over the data to visualize the importance of this area. The evaluation metric used Mean Squared Error (MSE) as well as Mean Absolute Error (MAE) as well as Precision and Recall and the proposed system reached good results.