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
Link To Document