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Machine learning & predictive modelling for recommendations & insight : Mallzee.
- Format:
- Video
- Series:
- Sage research methods.
- Language:
- English
- Subjects (All):
- Supervised learning (Machine learning).
- Predictive control.
- Consumer behavior.
- Retail trade.
- Quantitative research.
- Physical Description:
- 1 online resource (1 video file (00:12:42)) : sound, colour
- Other Title:
- Machine learning and predictive modelling for recommendations and insight
- Place of Publication:
- London : SAGE Publications Ltd, 2019.
- Language Note:
- Closed-captions in English.
- Summary:
- 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.
- Participant:
- Speaker, Cally Russell, and Speaker, Martina Pugliese.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526488787 (streaming video) :
- OCLC:
- 1091276017
- Access Restriction:
- Restricted for use by site license.
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