What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Conversational tagging in twitter
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Analyzing user modeling on twitter for personalized news recommendations
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
GeniUS: generic user modeling library for the social semantic web
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
Finding news curators in twitter
Proceedings of the 22nd international conference on World Wide Web companion
Analyzing temporal dynamics in Twitter profiles for personalized recommendations in the social web
Proceedings of the 3rd International Web Science Conference
Twitter-based user modeling for news recommendations
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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In this paper, we study user modeling on Twitter and investigate the interplay between personal interests and public trends. To generate semantically meaningful user profiles, we present a framework that allows us to enrich the semantics of individual Twitter messages and features user modeling as well as trend modeling strategies. These profiles can be re-used in other applications for (trend-aware) personalization. Given a large Twitter dataset, we analyze the characteristics of user and trend profiles and evaluate the quality of the profiles in the context of a personalized news recommendation system. We show that personal interests are more important for the recommendation process than public trends and that by combining both types of profiles we can further improve recommendation quality.