TY  - JOUR
AB  - Purpose– Many mobile devices today are equipped with diversified sensors that enable the acquisition of rich user context (e.g. GPS location, phone activity) for application utilization. With the growing usage of mobile devices in daily life, the problem of conveniently and promptly searching a piece of content that a user has viewed on his/her device before becomes more and more crucial. This paper aims to propose a context‐based query processing framework called UCQP that supports unstructured queries for content search in a user's access history.Design/methodology/approach– Beyond the keywords related to the content properties, a context query in the framework is specified with freeform phrases that describe high‐level mobile contexts of the user at a previous time when the user viewed the searched content.Findings– Experimental results on a prototype system of the framework illustrate its good accuracy and small response time.Originality/value– To tolerate the incompleteness and inaccuracy in user query texts caused by fading human memory, the authors develop several semantic query parsers that are tailored for different types of contexts using natural language processing and information retrieval techniques. The authors further propose a similarity model to rank the multiple result contents of a query by comparing context entities specified in the query and historical context values associated with each result.
VL  - 8
IS  - 4
SN  - 1742-7371
DO  - 10.1108/17427371211283038
UR  - https://doi.org/10.1108/17427371211283038
AU  - Xue Wenwei
AU  - Deng Hailong
PY  - 2012
Y1  - 2012/01/01
TI  - Unstructured queries based on mobile user context
T2  - International Journal of Pervasive Computing and Communications
PB  - Emerald Group Publishing Limited
SP  - 368
EP  - 394
Y2  - 2024/04/20
ER  -