Webinar - Product Matching - Palombo (20160428)

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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.

Technology

Dato Confidential1
Fraud Detection Webinar
Alon Palombo
Data Scientist
alon@dato.com
Product Matching Webinar

Dato Confidential2
Agenda
• Who is Dato?
• Data science workflow
• What is product matching?
• Demo using real public data
• Questions

Dato Confidential3
Dato: We Intelligent Applications
45+ and growing fast!

Dato Confidential
Data Science workflow
Ingest Transform Model Deploy
Unstructured Data

Dato Confidential6
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.
6

Dato Confidential
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

Dato Confidential
Definition
• Ironically, there are similar names for very similar
problems:
• Entity resolution
• Record linking
• De-duplication
• Reference reconciliation
• Data matching
• and more…
8

Dato Confidential
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.
9

Dato Confidential
Product matching demo – using real public
data

Dato Confidential11
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.

Dato Confidential12
Our machine learning course
https://www.coursera.org/learn/ml-foundations

Dato Confidential
Questions?
alon@dato.com

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Webinar - Product Matching - Palombo (20160428)

1. Dato Confidential1 Fraud Detection Webinar Alon Palombo Data Scientist alon@dato.com Product Matching Webinar

2. Dato Confidential2 Agenda • Who is Dato? • Data science workflow • What is product matching? • Demo using real public data • Questions

3. Dato Confidential3 Dato: We Intelligent Applications 45+ and growing fast!

4. Dato Confidential4 Customers

5. Dato Confidential Data Science workflow Ingest Transform Model Deploy Unstructured Data

6. Dato Confidential6 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. 6

7. Dato Confidential 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

8. Dato Confidential Definition • Ironically, there are similar names for very similar problems: • Entity resolution • Record linking • De-duplication • Reference reconciliation • Data matching • and more… 8

9. Dato Confidential 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. 9

10. Dato Confidential Product matching demo – using real public data

11. Dato Confidential11 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.

12. Dato Confidential12 Our machine learning course https://www.coursera.org/learn/ml-foundations

13. Dato Confidential Questions? alon@dato.com

Webinar - Product Matching - Palombo (20160428)

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Webinar - Product Matching - Palombo (20160428)