User recommendation in Telegram messenger by graph analysis and mathematical modeling of users' behavior

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Karimpour Davod; ZARE CHAHOOKI MOHAMMAD ALI; HASHEMI ALI

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Journal Paper

Paper Information

Journal: IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY Year:2022 | Volume:13 | Issue:49-50 Page(s): 151-172

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Title

User recommendation in Telegram messenger by graph analysis and mathematical modeling of users' behavior

Author(s)

Karimpour Davod | ZARE CHAHOOKI MOHAMMAD ALI | HASHEMI ALI | Issue Writer Certificate

Keywords

Recommender systems

Telegram messenger

graph analysis

users' behavior

Abstract

Recommender systems on social networks and websites have been developed to reduce the production and processing of queries. The purpose of these systems is to recommend users various items such as books, music, and friends. Users' recommendation on social networks and instant messengers is useful for users to find friends and for marketers to find new customers. On social networks such as Facebook, finding target users for marketing is an integrated feature, but in instant messengers such as Telegram and WhatsApp, it is not possible to find the target community. In this paper, by using graph and modeling the intergroup behavior of users and also defining features related to groups, a method for recommending Telegram users has been presented. The proposed method consists of 8 steps and each step can be considered a separate method for user recommendation. The data used in this paper is a real data set including more than 900, 000 supergroups and 120 million Telegram users crawled by the Idekav system. Evaluation of the proposed method on high-quality groups showed an average reduction in error by 0. 0812 in RMSE and 0. 128 in MAE.

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APA: Copy

Karimpour, Davod, ZARE CHAHOOKI, MOHAMMAD ALI, & HASHEMI, ALI. (2022). User recommendation in Telegram messenger by graph analysis and mathematical modeling of users' behavior. IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY, 13(49-50 ), 151-172. SID. https://sid.ir/paper/951401/en

Vancouver: Copy

Karimpour Davod, ZARE CHAHOOKI MOHAMMAD ALI, HASHEMI ALI. User recommendation in Telegram messenger by graph analysis and mathematical modeling of users' behavior. IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY[Internet]. 2022;13(49-50 ):151-172. Available from: https://sid.ir/paper/951401/en

IEEE: Copy

Davod Karimpour, MOHAMMAD ALI ZARE CHAHOOKI, and ALI HASHEMI, “User recommendation in Telegram messenger by graph analysis and mathematical modeling of users' behavior,” IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY, vol. 13, no. 49-50 , pp. 151–172, 2022, [Online]. Available: https://sid.ir/paper/951401/en

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