Dual-stage social friend recommendation system based on user interests
Other Title(s)
نظام توصية صديق اجتماعي ثنائي المرحلة بالاعتماد على اهتمامات المستخدم
Joint Authors
Abbas, Iyad Rawdan
Muhammad, Samir Abd al-Wahhab Qadir
Source
Issue
Vol. 61, Issue 7 (31 Jul. 2020), pp.1759-1772, 14 p.
Publisher
University of Baghdad College of Science
Publication Date
2020-07-31
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
The use of online social network (OSN) has become essential to humans' lives whether for entertainment, business or shopping.
This increasing use of OSN motivates designing and implementing special systems that use OSN users' data to provide better user experience using machine learning and data mining algorithms and techniques.
One system that is used extensively for this purpose is friend recommendation system (FRS) in which it recommends users to other users in professional or entertaining online social networks.
For this purpose, this study proposes a novel friend recommendation system, namely Hybrid Friend Recommendation (FR) model.
The Hybrid model applies dual-stage methodology on unlabeled data of 1241 users collected from OSN users via our 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 (FOF).
The model offers unique solutions to common problems of FRS such as data sparsity by using dimensionality technique called non-negative matrix factorization (NMF) to create a dense representation of the collected data and reduce its sparsity as well as providing seamless integration with other FRSs.
The evaluation of the hybrid FR model shows positive correlation of Pearson correlation coefficient (PCC) compared to the baseline used.
American Psychological Association (APA)
Muhammad, Samir Abd al-Wahhab Qadir& Abbas, Iyad Rawdan. 2020. Dual-stage social friend recommendation system based on user interests. Iraqi Journal of Science،Vol. 61, no. 7, pp.1759-1772.
https://search.emarefa.net/detail/BIM-970128
Modern Language Association (MLA)
Muhammad, Samir Abd al-Wahhab Qadir& Abbas, Iyad Rawdan. Dual-stage social friend recommendation system based on user interests. Iraqi Journal of Science Vol. 61, no. 7 (2020), pp.1759-1772.
https://search.emarefa.net/detail/BIM-970128
American Medical Association (AMA)
Muhammad, Samir Abd al-Wahhab Qadir& Abbas, Iyad Rawdan. Dual-stage social friend recommendation system based on user interests. Iraqi Journal of Science. 2020. Vol. 61, no. 7, pp.1759-1772.
https://search.emarefa.net/detail/BIM-970128
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in English and Arabic.
Record ID
BIM-970128