Spatio‐temporal query contextualization for microtext retrieval in social media. (28th February 2018)

• Record Type: Journal Article
• Authors: Park, Jae‐Hong; Lee, O‐Joun; Jung, Jai E.
• Other Names: Piccialli Francesco guestEditor.; Jung Jason J. guestEditor.
• Is Part Of: Concurrency and computation. Volume 30:Number 15(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-02-28
• Subjects: information fusion -- microtext -- query contextualization -- spatio‐temporal contexts; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.4458
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: Generally, texts on the social media (eg, Twitter and Facebook) are too short (microtexts) to understand the meaning and to search for relevant texts. It is difficult for the conventional information retrieval systems to conduct the searching tasks. Thereby, in this paper, we propose a novel approach on query contextualization by integrating all possible microtexts by considering spatio‐temporal contexts. The proposed approach consists of two steps, which are (i) to understand and process microtexts in social media and (ii) to reformulate the queries for searching for relevant microtexts in these social media. To evaluate the performance of the query contextualization approach, microtexts from Twitter have been collected during 4 months.