Títol:
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Ranking of social media alerts with workload bounds in emergency operation centers
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Autor/a:
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Purohit, Hemant; Castillo, Carlos; Imran, Muhammad; Pandey, Rahul
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Abstract:
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Comunicació presentada a IEEE/WIC/ACM International Conference on Web Intelligence (WI), celebrada del 3 al 6 de desembre de 2018 a Santiago, Xile. |
Abstract:
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xtensive research on social media usage during
emergencies has shown its value to provide life-saving information,
if a mechanism is in place to filter and prioritize messages.
Existing ranking systems can provide a baseline for selecting
which updates or alerts to push to emergency responders.
However, prior research has not investigated in depth how many
and how often should these updates be generated, considering
a given bound on the workload for a user due to the limited
budget of attention in this stressful work environment.
This paper presents a novel problem and a model to quantify
the relationship between the performance metrics of ranking systems
(e.g., recall, NDCG) and the bounds on the user workload.
We then synthesize an alert-based ranking system that enforces
these bounds to avoid overwhelming end-users. We propose a
Pareto optimal algorithm for ranking selection that adaptively
determines the preference of top-k ranking and user workload
over time. We demonstrate the applicability of this approach
for Emergency Operation Centers (EOCs) by performing an
evaluation based on real world data from six crisis events. We
analyze the trade-off between recall and workload recommendation
across periodic and realtime settings. Our experiments
demonstrate that the proposed ranking selection approach can
improve the efficiency of monitoring social media requests while
optimizing the need for user attention. |
Abstract:
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Purohit thanks US National Science Foundation grants IIS-1657379 & IIS-1815459 and Castillo thanks La Caixa project LCF/PR/PR16/11110009 for partial support. |
Matèries:
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-Human-centered computing -Information overload -Attention budget -Disaster management -Pareto optimality |
Drets:
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© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The final published article can be found at https://ieeexplore.ieee.org/document/8609595
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Tipus de document:
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Objecte de conferència Article - Versió acceptada |
Publicat per:
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Institute of Electrical and Electronics Engineers (IEEE)
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