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- W2755646763 abstract "Abstract In this paper, we present our ongoing project on query contextualization by integrating all possible IoT-based data sources. Most importantly, mobile users are regarded as the IoT sensors which can be the textual data sources with spatio-temporal contexts. Given a large amount of text streams, it has been difficult for the traditional information retrieval systems to conduct the searching tasks. The goal of this work is i ) to understand and process microtexts in social media (e.g., Twitter and Facebook), and ii ) to reformulate the queries for searching for relevant microtexts in these social media." @default.
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- W2755646763 date "2017-01-01" @default.
- W2755646763 modified "2023-09-24" @default.
- W2755646763 title "Spatio-Temporal Contextualization of Queries for Microtexts in Social Media: Mathematical Modeling" @default.
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- W2755646763 doi "https://doi.org/10.1016/j.procs.2017.08.317" @default.
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