Event Recommendation Using Twitter Activity
Document Type
Article
Publication Date
2015
Abstract
User interactions with Twitter (social network) frequently take place on mobile devices - a user base that it strongly caters to. As much of Twitter's traffic comes with geo-tagging information associated with it, it is a natural platform for geographic recommendations. This paper proposes an event recommender system for Twitter users, which identifies twitter activity co-located with previous events, and uses it to drive geographic recommendations via item-based collaborative filtering.
Publication Information
Magnuson, Axel; Dialani, Vijay; and Mallela, Deepa. (2015). "Event Recommendation Using Twitter Activity". Proceedings of the 9th ACM Conference on Recommender Systems, 331-332.
