Proceedings of the 6th international conference on Intelligent user interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A context-aware experience sampling tool
CHI '03 Extended Abstracts on Human Factors in Computing Systems
A Bayesian Approach to Human Activity Recognition
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
Layered Representations for Human Activity Recognition
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Using the Experience Sampling Method to Evaluate Ubicomp Applications
IEEE Pervasive Computing
Bluetooth and WAP push based location-aware mobile advertising system
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Comparison of Different Approaches for Mobile Advertising
WMCS '05 Proceedings of the Second IEEE International Workshop on Mobile Commerce and Services
Queue - AI
Computer
A practical approach to recognizing physical activities
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Who are the crowdworkers?: shifting demographics in mechanical turk
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Soylent: a word processor with a crowd inside
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
AdNext: a visit-pattern-aware mobile advertising system for urban commercial complexes
Proceedings of the 12th Workshop on Mobile Computing Systems and Applications
How to filter out random clickers in a crowdsourcing-based study?
Proceedings of the 2012 BELIV Workshop: Beyond Time and Errors - Novel Evaluation Methods for Visualization
Semantic pervasive advertising
RR'13 Proceedings of the 7th international conference on Web Reasoning and Rule Systems
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Targeted advertising benefits consumers by delivering them only the messages that match their interests, and also helps advertisers by identifying only the consumers interested in their messages. Although targeting mechanisms for online advertising are well established, pervasive computing environments lack analogous approaches. This paper explores the application of activity inferencing to targeted advertising. We present two mechanisms that link activity descriptions with ad content: direct keyword matching using an online advertising service, and "human computation" matching, which enhances keyword matching with help from online workers. The direct keyword approach is easier to engineer and responds more quickly, whereas the human computation approach has the potential to target more effectively.