Master thesis discussion for the student Samir AbdulWahab Qadir
A graduate student thesis discussion was held for the student Samir AbdulWahab Qadir from the Department of Computer Sciences / University of Technology for his thesis entitled (Personalized Social Friends Recommendation System based on User's Behavior). This thesis proposed a personalized friend recommendation system with two different models, namely dual-stage friend recommendation model and model-based friend recommendation model. The dual-stage model applies a methodology on unlabeled data of 1241 users. Such data are collected from OSN users via online survey platform featuring user interests and activities based upon which users, with similar social behavioral patterns, are recommended to each other. The model employs a variety of techniques, including User-Based Collaborative Filtering (UBCF) approach and graph-based approach friend-of-friend recommendation. The dual-stage model offers solutions to common problems of FRS such as data sparsity as well as providing seamless integration with other FRSs. The evaluation of the dual-stage model shows a positive correlation of Pearson Correlation Coefficient (PCC) compared to the baseline used... This was on Thursday, 14/11/2019 at the discussion hall in the department and the discussion committee was composed of (Prof. Dr. Ahme Tariq Sadiq and Assist Prof. Dr. Hasaneen Sameer Abdullah) from the University of Technology / Department of Computer Science and (Assist Prof. Dr. Khalid Shakir Jasim) from Al Anbar University / Department of Computer Science and in the presence of the student's supervisor (Assist Prof. Dr. Ayad Rawdhan Abbas).
Source: Department's Media |