Mendeley
TY  _  JOUR
ID  -  1402051843547
TI  -  A Recommender System Based on the Analysis of Personality Traits in Telegram Social Network
JO  -  Journal of Information and Communication Technology
JA  -  ES
LA  -  fa
SN  -  2717-0411
AU  -  shayegan Mohammad Javad
AU  -  valizadeh mohadeseh
AD  -  دانشگاه علم و فرهنگ
AD  -  گروه کامپیوتر،  دانشگاه علم و فرهنگ، تهران، ایران
Y1  -  2024
PY  -  2024
VL  -  59
IS  -  
SP  -  305
EP  -  320
KW  -  Users' Behavior
KW  -   Recommender Systems
KW  -   Social Networks
KW  -   Telegram
KW  -   Personality Analysis
DO  -  
N2  -  <p style="text-align: left;"><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Nazanin; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: FA;">Analysis of personality traits of individuals has always been one of the interesting research topics. In addition, achieving personality traits based on data obtained from individuals' behavior is a challenging issue. Most people spend most of their time on social media and may engage in behaviors that represent a character in cyberspace. There are many social networks today, one of which is the Telegram social network. Telegram also has a large audience in Iran and people use it to communicate, interact with others, educate, introduce products and so on. This research seeks to find out how a recommendation system can be built based on the personality traits of individuals. For this purpose, the personality of the users of a telegram group is identified using three algorithms, Cosine Similarity, MLP and Bayes, and finally, with the help of a recommending system, telegram channels tailored to each individual's personality are suggested to him. The research results show that this recommending system has attracted 65.42% of users' satisfaction.</span></p>
UR  - rimag.ir/en/Article/43547
L1  - rimag.ir/en/Article/Download/43547
ER  -  
