This webinar discusses product matching using Dato's tools. The presenter is Alon Palombo, a Data Scientist from Dato. The webinar agenda includes an introduction to Dato, an overview of the data science workflow, a definition of product matching, and a demo of product matching using real public data. The webinar aims to explain how product matching is important for e-commerce and how Dato's tools can help with tasks like entity resolution, record linking, and de-duplication.

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Fraud Detection Webinar
Alon Palombo
Data Scientist
alon@dato.com
Product Matching Webinar

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Agenda
• Who is Dato?
• Data science workflow
• What is product matching?
• Demo using real public data
• Questions

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Dato: We Intelligent Applications
45+ and growing fast!

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Customers

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Data Science workflow
Ingest Transform Model Deploy
Unstructured Data

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What is product matching?
• In 2016, global e-commerce sales are expected to reach
$1.92 Trillion.
• Online retailers and price comparison sites curate product
catalogues by aggregating from multiple sources.
• Product matching is the task of keeping these catalogues
free of duplicates, full of attributes per product, and
consistent across different sites.
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Difficulty
7
Structured
Attributes
Reviews
Images
Description
Thor, Andreas. "Toward an adaptive String Similarity Measure for Matching Product Offers." GI Jahrestagung (1). 2010.
{Aggregate
Multiple
Sources

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Definition
• Ironically, there are similar names for very similar
problems:
• Entity resolution
• Record linking
• De-duplication
• Reference reconciliation
• Data matching
• and more…
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Definition
• In GraphLab Create we distinguish between Record
Linkage and De-duplication.
• Record Linkage refers to matching structured query records
to a fixed set of reference records with the same schema.
• De-duplication refers to assigning an entity label to each
row. Records with the same label are likely correspond to
the same real-world entity.
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Product matching demo – using real public
data

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Summary
• Product matching is at the heart of e-commerce.
• Many relevant similar problems with similar solutions.
• Easy exploration, modeling, and evaluation using
GraphLab Create.

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Our machine learning course
https://www.coursera.org/learn/ml-foundations

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Questions?
alon@dato.com