Class Projects - Spring 2012

Hashtag Recommender

Recommends hashtags to use in Twitter promotion of news stories.

What it does

The Hashtag Recommender (also known as TweetSweep) helps publishers promote their content to the broadest possible audience via Twitter. The technology scans a block of content then recommends hashtags and @-mentions to append to subsequent promotional tweets. The hashtag and @-mention optimized tweet is more likely to show up in search results, thus leading to more clicks to the content being promoted.

After an editor inputs a link to the content being promoted, the system automatically analyzes that content and searches Twitter to produce a list of suggested hashtags and @-mentions to use. The user can dive further into these suggestions to view context and trends, and then make his or her selections, which are then automatically appended to their tweet.


Initial Concept: Larry Birnbaum, Mike Silver, Rich Gordon and Owen Youngman

Student Team: Andrew Allen (computer science), Jessie Li (computer science), Christi Sodano (journalism), Wesley Sun (computer science)

Faculty Guidance: Larry Birnbaum, Rich Gordon, and Kris Hammond (with assistance from Shawn O’Banion)