Nirec: Need recommender for hurricane disaster relief

Long H. Nguyen, Siyuan Jiang, Hashim Abu-Gellban, Hanxiang Du, Fang Jin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

It is of paramount importance to know the situations of people who undergone disaster events and be aware of their updates, yet it is not an easy job to accomplish in the chaos of a disaster. To facilitate advanced disaster relief organization and efficient supplement distribution, we develop NiRec, a social media based need prediction prototype that predicts needs for victims across the affected area. NiRec first extracts problems and concerns posted by victims of disaster-hurricane, in our case study; then displays the statistics to offer an overview for awareness and further analysis; and last, predicts the needs such as "diaper", "boat", "canoe" and "shelter" etc. for disaster relief planning.

Original languageEnglish
Title of host publicationProceedings of the 16th International Symposium on Spatial and Temporal Databases, SSTD 2019
PublisherAssociation for Computing Machinery
Pages190-193
Number of pages4
ISBN (Electronic)9781450362801
DOIs
StatePublished - Aug 19 2019
Event16th International Symposium on Spatial and Temporal Databases, SSTD 2019 - Vienna, Austria
Duration: Aug 19 2019Aug 21 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference16th International Symposium on Spatial and Temporal Databases, SSTD 2019
CountryAustria
CityVienna
Period08/19/1908/21/19

Keywords

  • Concern flow
  • Multilabel classification
  • Need Prediction

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