Presented by Roberto Masiero, Vice President ADP Innovation Lab, ADP In this presentation we will cover ADP's Semantic Search strategy and implementation. From the use cases to the design to support semantic searches on a vast set of data, to crawling data from hundreds of data sources. We will also cover our architecture to scale the search service on a multi-tenant SaaS environment.

1. Roberto Masiero
ADP Innovation Labs

2. 2011 –
ADP #87
2011 - Rank #7
2010
2010 & 2011
PINNACLE AWARDS 2011
Global Outsourcing Services
Provider of the Year
ADP #6
Financial
Data
Services
Rank #2
>300,000 SaaS clients
>18 Million users
81 countries & expanding
Widest breadth of HCM solutions
BPO/Service offerings extend reach
beyond traditional SaaS
ADP is the Largest Global SaaS Provider of
Cloud-based Enterprise Software
2

7. ADP Innovation Labs

8. ADP Innovation Labs

9. Research and Incubation…
9
Current Major Research Areas
Personal
Cloud
Big Data
/ Analytics
& Search
Global
SOR
MobilitySocial
Platform
© Copyright 2012 ADP, Inc. Proprietary Information.

10. 1010
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11. National Employment
Analytics
11
Insights to US economic
activity
500,000+ companies
Several dimensions
‘Large’ Data + R
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12. Innovation: ADP Intelligence & Analytics
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User Friendly Analytics
Embedded and
Contextualized Content
Benchmarks by
Industry/Location

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Behavioral Intelligence
• Using BigData to create an unparalleled
user experience
• Driving performance using in-memory data
• 3Vs (Volume, Velocity and Variety)
U i Bi D t t t
Payroll – Heat map time slice
BigData - allow us to learn from data
impressions
(map)
al Int
(reduce)
gg
Mary will probably check her Payroll and 401k
today at 9:10AM
Pre-Cache (in-memory) payStatements and
retirementPlan objects

14. 141414
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15. © Copyright 2013 ADP, Inc. Proprietary and Confidential Information.
ADP Semantic Search: The Requirements
Enterprise Search Goals
Search as a service across multiple ADP products and clients
Search as the primary navigation tool
Semantic Search: verbs and nouns
Key Search Architecture Elements
Multi-Tenancy
Multi-Datacenter
Large # of sources
Search High-Availability
Crawling and Indexing HA
Disaster Recovery (Active-Active)
Key Functional Design Elements
Instant Search across all object types
Partial text and phrase match
Highlighting
Faceting by document types
Query suggestions
User’s click history
Access control

16. © Copyright 2013 ADP, Inc. Proprietary and Confidential Information.
ADP Semantic Search
HIRE = task/verb
JOHN Doe= object/noun
applies to
CANDIDATE object
is there a candidate named John Doe?
invoke action ONBOARD
JOHN DOE
Just ask the app
A new navigation paradigm
Foundation for voice command
Simpler/Faster algorithm than NLP
Search objects (nouns) and tasks (verbs) to create (actions)
User behavior feeds taxonomy/relevance on both positive and negative searches

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ADP Semantic Search: The Stack
Data
Index
Query
User
Meta
Data
Using Lucene/Solr as search index
for both data and meta data

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ADP Semantic Search: The Flow

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ADP Semantic Search: Simple APIs
GET /v1_0/search/warmup
Header: Realm, Org OID, Associate OID, Locale
Params: None
Result: Language-specific labels JSON
GET /v1_0/search
Header: Realm, Org OID, Associate OID, Locale
Params: q=<query text>, groupValue=<Document type to filter on>
Result: Search Results if q is non-empty. Click history if q is empty.
POST /v1_0/search/clicks/{canonicalURI}
Header: Realm, Org OID, Associate OID, Locale
Result: Status OK (200)

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ADP Semantic Search: SOLR Out-of-the-box vs Custom Features
Out-of-the-Box
• Text search using inverted
index
• REST APIs w/ JSON
Output
• Track query execution time
• Fuzzy search using Ngrams
and Phonetics
• Result Grouping and
Faceting
• Result highlighting
• Indexed vs. Stored fields
• Multi-lingual Search (UTF-8)
Custom Features
• Multi-tenancy (enforced via predicates)
• Access Control (enforced via
predicates)
• Instant Search (regular search from Solr
viewpoint)
• Dynamic relevance (via custom
predicates built in Proxy)
• Synonym enrichment (via meta index)
• Smart actions via Task-Object mapping
(via meta
• Index)
• Semantic Search (via custom
predicates built in Proxy)
• Click-history based personalized result
boosting (via custom predicates based
on captured clicks)

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ADP Semantic Search

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User Experience: Changing our Mental Model
Start Here

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User Experience: The Design Conversation has two aspects
IntuitiveComplex
InsecurityConfidence
Overly
Simplistic
Specialists
Required
Not
User-friendly
Engaging

24. “The most profound technologies are
those that disappear. They weave
themselves into the fabric of everyday
life until they are indistinguishable.”
- Mark Weiser
@masieror