The Journal of Machine Learning Research
Mining models of human activities from the web
Proceedings of the 13th international conference on World Wide Web
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We describe the concept of and approach for combining conceptual information produced by humans and data that convey situations of the real world without any modification or interpretation, which can be thought of as a method for bridging the Web and the real world. We conducted an experiment to validate our concept by making associations between everyday topics or situations and their characteristic sounds. We discuss the preliminary results obtained in the experiment.