This document summarizes a talk on search given at Search Camp United Nations in NYC on July 10, 2016. The talk will showcase and detail examples of different types of search including rules, typeahead/suggest, signals, and location awareness, and how they can be brought together into a cohesive search experience. It provides information on the speaker, Erik Hatcher, and covers various anatomy of search results and features like relevancy ranking, faceting, highlighting, grouping, spellchecking, autocomplete and more.

1. It’s Just Search
Search Camp United Nations, NYC
July 10, 2016
Erik Hatcher

2. it’s just search

3. it’s just +search

4. search
?q=

5. search

6. 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

7. • 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

9. anatomy of search results

10. Anatomy of Search Results

11. Anatomy of Search Results
Relevancy ranked results

12. Anatomy of Search Results
Facets

13. Anatomy of Search Results
Highlighting

14. Grouping

15. • relevancy ranked results
• faceting
• highlighting
• grouping (collapsing)
• more-like-this
• did-you-mean (spellcheck)
Search Features

16. typeahead,
autocomplete,
suggest,
instant search

18. spell checking

20. • 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

21. • /select?q=sea…
• q=<what user typed>
• Response includes grouped and ranked results,
highlighting, and spellcheck suggestions
typeahead request

22. signals

23. • clicks and queries
• add-to-carts
• user history, behavior, and preferences
• geo-location, device
signals and recommendations

25. signals workflow

26. • <collection>/select?q=search
• <collection>_signals_aggr/select
• ?q=${q}
• qf, pf, sort
• ==> bq: "id:7^1.0"
signals sub-query

27. rules

28. • 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

31. • <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

32. geo-lookup

33. • /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

35. conclusion

37. •simple things working
together
•whole is greater than
the sum of the parts
•feedback loops
•emergent behavior
Synergy

39. • 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

41. 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

42. 2016
OCTOBER 11-14
BOSTON, MAhttp://lucenerevolution.org/

43. • 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