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Why Human Annotated Data Matters for Search - Grant Ingersoll, Lucidworks & Kevin Vondemkamp, Appen

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Why Human Annotated Data Matters for Search Grant Ingersoll—CTO, Lucidworks Kevin Vondemkamp—VP, Appen
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Why Human Annotated Data Matters for Search Grant Ingersoll—CTO, Lucidworks Kevin Vondemkamp—VP, Appen

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Up to 30% of visitors will use site search

Shoppers using site search showed • 216% increase in

conversion rate

• 21% increase in average order value

Importance of eCommerce site search Customers who find what they want buy more

Source: WebLinc, Nov 2016

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Over half of U.S. and European businesses cannot find the information they seek

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3 out of 4 people agree that information is easier to find outside of the organization than within

Challenges with Enterprise Search

52%  

Source: BA Link, Aug 2016

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How can eCommerce retailers provide accurate search results with growing inventories and changes in brands, trends, seasons?

How can enterprises provide users with accurate search when the volume of information continues to increase?

Key Questions

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Improving Search Capture all user interaction Adopt experimentation mindset Use rules purposefully Always be learning

CONTEXT Where the user is,

who the user is, user’s past behavior

CONTENT Data and

documents in the index

CONSUMER Insights from similar users’

behavior

CROWD

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Machine Learning The search function understands what the shopper means rather than just what they typed

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Structured Data

Unstructured Data

Source: https://www.ibm.com/blogs/watson/2016/05/biggest-data-challenges-might-not-even-know/

80% of all digital data is unstructured Growing at 60% CAGR

Difficult to Mine

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•  Raw data is often noisy and unreliable, and may be missing values

•  Typical data quality issues: •  Incomplete: Data lacks attributes or

containing missing values •  Noisy: Data contains erroneous

records or outliers •  Inconsistent: Data contains conflicting

records or discrepancies •  Using such data for modeling can

produce misleading results. Avoid "garbage in, garbage out“

Source: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-prepare-data

Why structured data is important for machine learning

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10/12/17 9

Speech Appen helps the world’s leading technology companies develop voice-activated systems for automotive, search and entertainment

eCommerce Appen helps major eCommerce vendors improve search accuracy to make shopping easier and improve conversion rates

Natural Language Appen’s work underpins natural language understanding technologies for government and commercial technologies that connect the globe

Content Relevance Appen helps leading search and social media companies deliver relevant content and news to their users

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Appen’s Suite of Services Global Speech & Search Services appen.com

PURCHASE CONVERSION

I want to buy a flat screen TV… “

“ Categorization

Whole page relevance Ad relevance

Search Browse Decision Cart Purchase

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User behavior Query intent

Consumer insight

Purchase conversion

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CUSTOMER 360° VIEW

“ Tagging

Find Analyze Action

Query intent Better ROI

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I want a holistic view of my customers

Search Browse

                                                                 

eBay’s Structured Data Initiative

Source: https://www.listsmart.io/article/why-structured-data-essential-ebay

Collect Data Process and Enrich Data

Create Product Experiences

3 Key Efforts

•  Requires sellers to provide product data

•  Phase I and II requirements cover •  B2C sellers •  Manufactured

inventory

•  Create product in catalog where absent

•  Link relevant items •  Add pricing & other

product attributes •  Enhance content with

images & descriptions

•  Simplify vast inventory

•  Improve discoverability on and off site

•  Enable value-added data… reviews & buying guides

•  Better targeting & merchandising

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How eCommerce Leaders Use Machine Learning

Product recommendations Personalization Categorization Product search

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Why Human Annotated Data is Better for Machine Learning

Humans are essential for establishing a baseline for search queries. Technology just hasn’t caught up , which is why human annotation is critical to ensure that the search algorithm gets trained properly to asses intent.”

— Grant Ingersoll, CTO, Lucidworks

Humans are better than computers at •  Managing subjectivity •  Understanding intent •  Coping with ambiguity

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Lucidworks & Appen Integration

Client Management Search Health

Home Office Crowd Annotation

Customer Search

Appen Global Platform

Data Calibrate

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Demo

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Where do you go from here?

Do I have enough data? 1

2 Is my company willing to invest?

3 Do I have a team available to manage and analyze the

data? 4 Are you able to action against the dashboard metrics?

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Questions?

Thank You


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