Abstract
This paper proposes a method of context-aware querying in mobile/ubiquitous Web searches, which provides mobile users with four capabilities: (1) context-aware keyphrase inference to help them input a keyphrase as a part of their keyword-based query, (2) context-aware subtopic tree generation to help them specify their information demand on one subtopic, (3) discovery of comparable keyphrases to their original query to help them make better decisions, and (4) meta vertical search focused on one subtopic to make the retrieval results more precise.
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Hattori, S. et al. (2007). ReCQ: Real-World Context-Aware Querying. In: Kokinov, B., Richardson, D.C., Roth-Berghofer, T.R., Vieu, L. (eds) Modeling and Using Context. CONTEXT 2007. Lecture Notes in Computer Science(), vol 4635. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74255-5_19
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DOI: https://doi.org/10.1007/978-3-540-74255-5_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74254-8
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