Event Recommendation Using Twitter Activity

Authors

Axel Magnuson, Boise State University
Vijay Dialani, Boise State University
Deepa Mallela, Boise State UniversityFollow

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.