A recommendation system for Twitter users in the same neighborhood

  • Authors:
  • Meshary AlMeshary;Abdolreza Abhari

  • Affiliations:
  • Ryerson University;Ryerson University

  • Venue:
  • Proceedings of the 16th Communications & Networking Symposium
  • Year:
  • 2013

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Abstract

This paper proposes a new idea that Natural Language Processing, Google Translate API's and Fuzzy Set concept can be used to help a twitter user who has moved to a new society or culture, for example, a student moving to Toronto, Canada from his/here native country of Saudi Arabia. It discusses taking history tweets in his/her mother language and predicting interests after he has moved to his/her new location. Then the proposed system translates these interests, searches locally and then recommends Followees, Followers and Hashtags based on his/her interests. This new proposed system will help the user become aware of what is going on in his/her new location, help him/her to make connections and engage with his/her new city.