WordNet: a lexical database for English
Communications of the ACM
Adaptive interfaces and agents
The human-computer interaction handbook
CHI '08 Extended Abstracts on Human Factors in Computing Systems
UM '07 Proceedings of the 11th international conference on User Modeling
User identification for cross-system personalisation
Information Sciences: an International Journal
Semantic Modelling of User Interests Based on Cross-Folksonomy Analysis
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Cross-tagging for personalized open social networking
Proceedings of the 20th ACM conference on Hypertext and hypermedia
PersonisAD: distributed, active, scrutable model framework for context-aware services
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
Gumo: the general user model ontology
UM'05 Proceedings of the 10th international conference on User Modeling
Interweaving public user profiles on the web
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Recommender systems and the social web
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Cyberbullying detection: a step toward a safer internet yard
Proceedings of the 21st international conference companion on World Wide Web
Towards user modelling in the combat against cyberbullying
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
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Today, users leave a plethora of traces on the Web. They fill traditional profile information at social networking services, write articles in their personal blogs or annotate social media content in resource sharing systems such as Flickr or Delicious. In this paper we present the so-called Mypes service that connects, aggregates, aligns and enriches profile information form diverse online services and makes the bundled profiles available for end-users and third-party applications. It enables end-users to overview their distributed profile data traces and provides application developers means for integrating aggregated profile data into their applications to feature personalization. Our evaluation reveals the benefits of Mypes: it generates semantically rich user profiles with high precision.