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O C T O B E R 1 1 - 1 4 , 2 0 1 6 • B O S T O N , M A
It’s Just Search
Erik Hatcher
Co-founder and Senior Solutions Architect, Lucidworks
it’s just search
it’s just +search
search
?q=
search
Think inside the box. Inside the search box, that is.
The "best"* search results incorporate many more factors than (just) textual matching
and relevancy. Search experience owners manage query context rules, signals
automatically feed back machine learned factors, users implicit and explicit behaviors
filter and weight future interactions. Synergy emerges with several cooperating (just)
searches.
This talk will showcase and detail several (just) search examples including rules,
typeahead/suggest, signals, and location awareness, bringing them all together into a
cohesive search experience.
Abstract
• Lucene/Solr Committer
• Apache Software Foundation Member
• Creator of Blacklight
• Co-author of “Ant in Action” and “Lucene in Action”
• Co-founder and Senior Solutions Architect at Lucidworks
About me
@erikhatcher
anatomy of search results
Anatomy of Search Results
Anatomy of Search Results
Relevancy ranked results
Anatomy of Search Results
Facets
Anatomy of Search Results
Highlighting
Grouping
• relevancy ranked results
• faceting
• highlighting
• grouping (collapsing)
• more-like-this
• did-you-mean (spellcheck)
Search Features
typeahead, 

autocomplete, 

suggest, 

instant search
spell checking
• query a “typed” n-grammed index, and get “typed” results
• type examples: brands, categories, specialties,
treatments, providers/doctors, products
• suggest Things Not Strings
• things have attributes: metadata
(known) entity detection
• /select?q=sea…
• q=<what user typed>
• Response includes grouped and ranked results,
highlighting, and spellcheck suggestions
typeahead request
signals
• clicks and queries
• add-to-carts
• user history, behavior, and preferences
• geo-location, device
signals and recommendations
signals workflow
• <collection>/select?q=search
• <collection>_signals_aggr/select
• ?q=${q}
• qf, pf, sort
• ==> bq: "id:7^1.0"
signals sub-query
rules
• trigger off query context
• query, filters, date/time, tags
• actions -
• boost, block, banner, redirect, set parameters, 

rewrite query, etc
• superset of signals
• signals: automated feedback
• rules: manually created
rules
• <collection>/select?q=solr search

[&tags=mobile,production]
• <collection>_rules/select
• ?q=${q}
• &fq=-enabled:false
• &fq=…effective_range:$now…
• &fq=…tags:($tags)…
• process rules returned
• manipulate request, append to response
rules sub-query
geo-lookup
• /providers/select?q=jones&zipcode=10301
• /zipcodes/select?q={!term f=zipcode_s v=$zipcode}
zipcodes collection
zipcodes.csv
ZipCode,State,City,County,Latitude,Longitude,AreaCode,TimeZone,DST
85701,AZ,Tucson,Pima,32.216091,-110.97099,520,-7,N
10301,NY,Staten Island,Richmond,40.6226,-74.0992,718,-5,Y
22901,VA,Charlottesville,Albemarle,38.071751,-78.503937,434,-5,Y,
fl += dist:geodist()
fq += {!geofilt}
pt = ${zipcode_doc.latlon_srpt}
sfield = locations_rpt
d = 10
sort = geodist() asc
conclusion
•simple things working
together
•whole is greater than
the sum of the parts
•feedback loops
•emergent behavior
Synergy
• Presentation materials:
• https://github.com/erikhatcher/searchcamp
• Search Hub:
• http://searchhub.lucidworks.com/
• Fusion (platform used for presentation):
• https://lucidworks.com/products/fusion/
See Also
@erikhatcher
Lucidworks Fusion Is Search-Driven Everything
Access data from
anywhere to build
intelligent, data-
driven applications.
Data Acquisition
Indexing & Streaming
Smart Access API
Recommendations &

Alerts
Analytics & InsightsExtreme Relevancy
CUSTOMER
SERVICE
RESEARCH
PORTAL
DIGITAL
CONTENT
CUSTOMER
INSIGHTS
FRAUD
SURVEILLANCE
ONLINE

RETAIL
• https://commons.wikimedia.org/wiki/File:Ant_bridge.jpg

• http://jillian.rootaction.net/?p=340

• https://commons.wikimedia.org/wiki/
File:Turtles.on.a.stone.in.brazil.jpg
image credits

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