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Follow your neighbours and engage in a new culture

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thesis
posted on 22.05.2021, 09:09 by Meshary Abdulrahman AlMeshary
Twitter is one of the popular social media websites. It has more than 400 million active users. They post a huge number of tweets daily to share their opinions and knowledge in different languages and locations. Twitter has been used to distribute news, politics and more. This thesis proposes an approach to recommend new followees to Twitter users who just moved to a new place where the local language is different. A recommender system is developed that provides Twitter users the ability to adjust and engage in a new culture and helps them adapt to a new environment. This recommender system finds users’ interests from his historical tweets in his mother language and looks for followees who have the same interests in the local language. This proposed system uses Twitter APIs to fetch local tweets after finding the location of the user and recommends similar local followees to the system user.

History

Language

eng

Degree

Master of Science

Program

Computer Science

Granting Institution

Ryerson University

LAC Thesis Type

Thesis