rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Machine learning & predictive modelling for recommendations & insight
    sub title: Mallzee
  title info:
    title: Machine learning and predictive modelling for recommendations and insight
  name:
    name part: Russell, Cally
    role:
      role term: on-screen presenter.
  name:
    name part: Pugliese, Martina
    role:
      role term: on-screen presenter.
  type of resource: moving image
  genre: videorecording
  origin info:
    place:
      place term: enk
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (00:12:42)) : sound, colour
  abstract: Cally Russell, CEO, and Martina Pugliese, data scientist, at Mallzee, a multi-retail shopping app, discuss how the Mallzee app fulfills a one-stop-shop consumer need in the age of mobile-device shopping. Developed using machine-learning algorithms, the app can be personalized to the user while providing product performance, merchandising, and marketing insights to the retailer.
  target audience: specialized
  note: Speaker, Cally Russell, and Speaker, Martina Pugliese.
  note: Closed-captions in English.
  subject:
    topic: Supervised learning (Machine learning)
  subject:
    topic: Predictive control
  subject:
    topic: Consumer behavior
  subject:
    topic: Retail trade
  subject:
    topic: Quantitative research
  subject:
    topic: Apprentissage supervisé (Intelligence artificielle)
  subject:
    topic: Commande prédictive
  subject:
    topic: Consommateurs
    topic: Comportement
  subject:
    topic: Commerce de détail
  subject:
    topic: Recherche quantitative
  subject:
    topic: Consumer behavior
  subject:
    topic: Predictive control
  subject:
    topic: Quantitative research
  subject:
    topic: Retail trade
  subject:
    topic: Supervised learning (Machine learning)
  classification: Q325.75 .M33 2019
  classification: 006.31
  identifier: 9781526488787
  identifier: 1526488787
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 190122
    record change date: 20241105202936.2
    record identifier: in00005514713
    language of cataloging:
      language term: eng