Personalized Recommendations in Police Photo Lineup Assembling Task

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10378804" target="_blank" >RIV/00216208:11320/18:10378804 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11210/18:10378804

Výsledek na webu

<a href="http://itat.ics.upjs.sk/uploads/ITAT-2018.pdf" target="_blank" >http://itat.ics.upjs.sk/uploads/ITAT-2018.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Personalized Recommendations in Police Photo Lineup Assembling Task

Popis výsledku v původním jazyce

Abstract. In this paper, we aim to present a novel application domain for recommender systems: police photo lineups. Photo lineups play a significant role in the eyewitness identification prosecution and subsequent conviction of suspects. Unfortunately, there are many cases where lineups have led to the conviction of an innocent persons. One of the key factors contributing to the incorrect identification is unfairly assembled (biased) lineups, i.e. that the suspect differs significantly from all other candidates. Although the process of assembling fair lineup is both highly important and time-consuming, only a handful of tools are available to simplify the task. We describe our work towards using recommender systems for the photo lineup assembling task. Initially, two non-personalized recommending methods were evaluated: one based on the visual descriptors of persons and the other their content-based attributes. Next, some personalized hybrid techniques combining both methods based on the feedback from forensic technicians were evaluated. Some of the personalized techniques significantly improved the results of both non-personalized techniques w.r.t. nDCG and recall@top-k.

Název v anglickém jazyce

Personalized Recommendations in Police Photo Lineup Assembling Task

Popis výsledku anglicky

Abstract. In this paper, we aim to present a novel application domain for recommender systems: police photo lineups. Photo lineups play a significant role in the eyewitness identification prosecution and subsequent conviction of suspects. Unfortunately, there are many cases where lineups have led to the conviction of an innocent persons. One of the key factors contributing to the incorrect identification is unfairly assembled (biased) lineups, i.e. that the suspect differs significantly from all other candidates. Although the process of assembling fair lineup is both highly important and time-consuming, only a handful of tools are available to simplify the task. We describe our work towards using recommender systems for the photo lineup assembling task. Initially, two non-personalized recommending methods were evaluated: one based on the visual descriptors of persons and the other their content-based attributes. Next, some personalized hybrid techniques combining both methods based on the feedback from forensic technicians were evaluated. Some of the personalized techniques significantly improved the results of both non-personalized techniques w.r.t. nDCG and recall@top-k.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ITAT 2018: Information Technologies – Applications and Theory Proceedings of the 18th conference ITAT 2018 Plejsy, Slovakia, September 21–25, 2018

ISBN

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ISSN

1613-0073

e-ISSN

neuvedeno

Počet stran výsledku

4

Strana od-do

157-160

Název nakladatele

CEUR Workshop Proceedings

Místo vydání

Germany

Místo konání akce

Plejsy

Datum konání akce

21. 9. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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