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Personalized Recommendations in Police Photo Lineup Assembling Task

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/00216208:11210/18:10378804

  • Result on the web

    <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

Alternative languages

  • Result language

    angličtina

  • Original language name

    Personalized Recommendations in Police Photo Lineup Assembling Task

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

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

  • ISBN

  • ISSN

    1613-0073

  • e-ISSN

    neuvedeno

  • Number of pages

    4

  • Pages from-to

    157-160

  • Publisher name

    CEUR Workshop Proceedings

  • Place of publication

    Germany

  • Event location

    Plejsy

  • Event date

    Sep 21, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article