Similarity Measurement between Objects and Activities for User Intention Modeling

Abstract

User intention modeling is a core part to provide appropriate services in ubiquitous and pervasive computing. And the modeling should be concentrated on preparing user activities according to objects which user approaches or touches. In other works, they just contribute to constructing the modeling under restricted conditions such as places. In order to prepare wide ranging and important factors, this work proposes similarity measurement between objects and activities. Through an evaluation, we show how effective this work is and provide its contributions.