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A Million Clues

Miles Kehoe@miles_kehoe

Director of Professional Services

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Our Mission

Enable Smarter Data Driven Applications Through the Power of Search

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What Are Data Driven Applications?

Data Driven Applications Provide Users and Systems Contextually Relevant Information When They Need It

Techniques such as relevancy, result ranking and personalization greatly enhance enterprise and consumer applications:

› Consumer Websites› Knowledge Management› Cyber Security› Fraud Detection› Governance and Compliance

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Is keyword search enough

Is relevancy simply tf/idf?

For your enterprise:

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We may use it here

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Or even here

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Doesn’t really work here

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Doesn’t really work here

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Shopping would be painful

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Shopping would be painful

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It’s the millions of little things that tell us what a

user or system needs

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It’s what users say

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And who they are

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Taking a holistic view of the data and the user interactions with that

data are critical

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We call this approach reflective intelligence

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We’ve experienced it for years with leading

eCommerce and Internet Search providers

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What if we could leverage this approach for other applications?

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Enterprise Search makes reflective intelligence

possible for all applications

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Search, Discovery and Analytics are the key to unlocking this view of

users and data

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Want to build smarter data-driven applications?

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What are the millions of little pieces your

application should be leveraging?

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Why LucidWorks Search?

Enterprises today are struggling to parity the capabilities of leading eTailers and internet search providers

Enterprise Search capabilities such as:

› Entity Extraction› Signal Processing/

Click Stream Analysis› Results Relevancy Tuning› Personalization

Provide context and user intentions to applications

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EnrichmentModules

Connector Framework

DATA ENRICHMENT MODULES AND SERVICES

› The LucidWorks Enrichment Modules provide access to the data enrichment facilities which help organize and add context to data based on knowledge and context made available through entity recognition and signal processing.

The enrichment modules provide:

- Business Rules

- Refinement of raw data

- Labels/Classification

- Translation/Dictionary

- Entity Extraction/Fields

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ENTITY EXTRACTION

› Trained on a corpus containing News data

› Pre-Trained models for

› Date

› Location

› Currency

› Organization

› Percentage

› Person

› Time

Simple To Use Model Based Entity Recognition

› Lookup/List-Based Entity Recognition› Very fast. Best suited for exact entity

matches

› Product ships with packaged dictionaries (lists)

› User can use their own lists or customize pre-packaged lists

› Regular Expression-based Entity Recognition› Completely flexible through programming

› Extractor with the most flexibility to define patterns

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Business Rules

Provide Context and Intent at Index and/or Query Time

› Deployments of Solr and LucidWorks Search can take full advantage of business rules through Drools integration

› Includes packaged code snippets with detailed documentation for a quick start on index and query-time use cases

› A landing page component provides the ability to dynamically route queries to different pages based on user profile and

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Relevancy Workbench

A/B Test Relevancy Tuning Parameters

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LucidWorks Flare

Integrated Search and Analytics UI

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Thank You

•Miles Kehoe@miles_kehoemiles.kehoe@lucidworks.com

•LucidWorks-http://www.lucidworks.com-Hash Tags

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