@inproceedings{5f347e3cf6b349548d9ed8fbc9fa87c5,
title = "Inferring user search intention based on situation analysis of the physical world",
abstract = "Ubiquitous search of the physical world has recently received significant attention. In this paper, we investigate situation analysis based user intention recognition, which can be useful to retrieve information that may perfectly satisfy a user's needs. We first introduce a hierarchical user intention model based on CRFs (Conditional Random Fields). With the model, a BP (Belief Propagation) based inference method is proposed to recognize user search intention based on situation analysis. A variety of sensing mechanisms are adopted to collect context information of the physical world for robust and reliable situation analysis. We developed a prototype in a real home setting and experiments were performed to examine the effectiveness of the proposed approach.",
keywords = "CRFs, Situation analysis, search intention, ubiquitous search",
author = "Zhu Wang and Xingshe Zhou and Zhiwen Yu and Yanbin He and Daqing Zhang",
year = "2010",
month = jan,
day = "1",
doi = "10.1007/978-3-642-16355-5\_6",
language = "English",
isbn = "3642163548",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "35--51",
booktitle = "Ubiquitous Intelligence and Computing - 7th International Conference, UIC 2010, Proceedings",
}