• DocumentCode
    3756589
  • Title

    Recommenddit: A Recommendation Service for Reddit Communities

  • Author

    Suphanut Jamonnak;Jonathan Kilgallin;Chien-Chung Chan;En Cheng

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Akron, Akron, OH, USA
  • fYear
    2015
  • Firstpage
    374
  • Lastpage
    379
  • Abstract
    Reddit.com is a popular website consisting of many online forums, or "subreddits", each centered on a particular topic, many of which are closely related. However, two communities that might appear to be similar may in fact have little overlap in their user-base or content, while apparently dissimilar subreddits may actually represent topics that appeal to substantially overlapping audiences. At present, there is a lack of effective methods for identifying these relations. In this paper, we propose and implement an automated method of identifying such relations using an association rule mining algorithm. Given the output from this algorithm, we develop a web-based application named Recommenddit that a user can query to retrieve subreddits closely associated with a given subreddit.
  • Keywords
    "Data mining","Feeds","Dairy products","Art","Engines","Libraries","Scientific computing"
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Computational Intelligence (CSCI), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/CSCI.2015.64
  • Filename
    7424120