0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
GroupRec: Group Recommendation by Numerical Characteristics of Groups in Telegram
Authors :
Davod Karimpour
1
Mohammad Ali Zare Chahooki
2
Ali Hashemi
3
1- Computer Engineering Department, Yazd University, Yazd, Iran
2- Computer Engineering Department, Yazd University, Yazd, Iran
3- Computer Engineering Department, Yazd University, Yazd, Iran
Keywords :
Recommendation of social groups, Telegram, social networks (online), computational modeling, business.
Abstract :
Today, recommender systems are used in many different businesses to find items of interest to users. The use of these systems is widely found in online economic systems and social networks. Therefore, using these systems in the messaging environment will cause changes and transformations for marketing. Telegram is a cloud-based messenger with more than 500 million monthly active users. This messenger has a relatively acceptable position compared to its other competitors, because the security and features provided in it, have made it different from other messengers and close to social networks. One of the most popular features of messengers is groups. Many marketers are looking for groups that fit their field. One of the main gaps in the messengers regarding advertising and marketing to expand businesses is the impossibility of finding social groups. In this paper, a new method for group recommendation in the Telegram is presented. This method, by receiving a set of users, analyzes their groups and recommends a list of ranked groups. The proposed method is created by combining the previous two methods in the field of group recommendation and computational modeling of numerical variables obtained from each group. This study is dependent on the information of all users due to the use of the membership graph, and the behavior of the system changes by the information extracted from the users. The results of experimental experiments show a significant reduction of RMSE and MAE in the proposed method compared to the previous two methods.
Papers List
List of archived papers
Persis: A Persian Font Recognition Pipeline Using Convolutional Neural Networks
Mehrdad Mohammadian - Neda Maleki - Tobias Olsson - Fredrik Ahlgren
Standardized ReACT Logits: An Effective Approach for Anomaly Segmentation in Self-driving Cars
Mahdi Farhadi - Seyede Mahya Hazavei - Shahriar Baradaran Shokouhi
DPRNN-FORMER: AN EFFICIENT WAY TO DEAL WITH BLIND SOURCE SEPARATION
Ramin Ghorbani - Sajad Haghzad Klidbary
Adaptive Channel Estimation for MIMO-OFDM Systems in Impulsive Noise Environments
Mojtaba Hajiabadi
Impossible differential and zero-correlatin linear cryptanalysis of Marx, Marx2, Chaskey andSpeck32
Mahshid Saberi - Nasour Bagheri - Sadegh Sadeghi
IR-LPR: Large Scale of Iranian License Plate Recognition Dataset
Mahdi Rahmani - Melika Sabaghian - Seyyedeh Mahila Moghadami - Mohammad Mohsen Talaie - Mahdi Naghibi - Mohammad Ali Keyvanrad
A Novel Deformable Registration Method for Cerebral Magnetic Resonance Images
Bahareh Asadpour Dasht Bayaz - Mahdi Saadatmand - Fabrice Wallois
Instance Selection from Skewed Class Distributions by Using the multi-objective optimizer
Mona Moradi - Javad Hamidzadeh
An Efficient Approach for Breast Abnormality Detection through High-Level Features of Thermography Images
Farhad Abedinzadeh Torghabeh - Yeganeh Modaresnia - Seyyed Abed Hosseini
Generating Hand-Written Symbols With Trajectory Planning Using A Robotic Arm
Arya Parvizi - Armin Salimi-Badr
more
Samin Hamayesh - Version 42.2.1