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 :
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