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Join us right after the event at Firehouse
Grill for a free drink, kindly provided by
AvePoint and Rackspace! 1765 East
Bayshore Road East Palo Alto, CA 94303
(Next to Nordstrom Rack).

    Drinks to be provided by…..
Miles Kehoe                   Mark Bennett
New Idea Engineering, Inc.    New Idea Engineering, Inc.
miles.kehoe@ideaeng.com       mbennett@ideaeng.com
408-446-3460 / 408-828-4592   408-446-3460 / 408-829-6513

Chris Fernandez               Evan Sayer
New Idea Engineering, Inc.    New Idea Engineering, Inc.
chris.fernandez@ideaeng.com   Evan.sayer@ideaeng.com
408-446-3460 / 650-279-8343   408-446-3460 /
Agenda
Introductions/Objectives
Challenges of Enterprise Search
Improving Search Quality
Pressure Points of Search
Improving Relevancy
Key Take-Aways
New Idea Engineering Inc. founded in 1996
  ◦ The Business & Technology of Search
Vendor-neutral search expertise:
  ◦ Commercial and Open Source Projects
  ◦ Evaluation, Selection, Implementation, Ongoing Mgmt
Search analysts, developers, consultants, authors:
  ◦ Blog: www.enterprisesearchblog.com
  ◦ Presentations at SPTEchCon / ESS / KMWorld / …
  ◦ Authors of Professional Microsoft Search
…content, intent, relevancy
Different people have
different intents
There are rarely a
single ‘right answer’
Intents often require
multiple iterations
…the big picture
Some Assembly Expected – often Required
The Platform
   Most search platforms are general purpose
   Vendors expect you to customize platform
   The OOB platform works*
The Demo
   Sales staff work from a script
   Demos are scripted and use easy, clean data
   “That‟s the product I want!”
   A POC using your content is best criteria
                  *“Any sufficiently advanced demo
                  is indistinguishable from product”
User Requirements Drive Product Capability
Early search: exact match
Users pushed for (and got):
   Plurals/Stemming
   Soundex
   Document filters
   Fielded search
   Boolean Operators & advanced query syntax
   Synonyms and thesaurus support
   Security
   Facets Navigation
   …
But Search is Tough to get Right
Search touches everything:
 All repositories/formats
 Structured and unstructured
 Has to respect security
 Expected to co-exist with other repositories
 Many „near duplicate‟ documents
 Content changing in real time


          And it looks so easy on the „net & in the demo
            - and it has to have sub-second response!
Enterprise Search 101: A Primer
Simple Search Model
The search User sees search like this:

   health               Search Kernel       Result List
                                             Did you mean Health Services
                                             1. Health and smoking
                                             2. High risk behaviors
                                              …



 As a search manager, you see the magic behind the curtain:

                       Crawler/Indexer
                                              Search
                                               Index
Anatomy of a search engine

Inverted    ‘Table Like’ Structure
Word List   for extracted fields (metadata)
apple       New printer ships   Jan   20K     PressRel.TXT
autonomy    iPhone top hit      Dec 12K       Music.PDF
cisco
            8 core chip         Apr   128K    News.DOCX
digital
google      Snow Leopard        Dec 8K        Jdbc:12345
hewlett     Win 8 Launch        Aug 39K       Info.XPS
intel
microsoft


                                       Content
                                      Repository
Site Design
 ◦   Good planning is a key step in search!
Indexing
 ◦ Improve content prior to /during indexing
Query Pre-Processing
 ◦ Enhance the user query
Maximize Kernel Capability
 ◦   Improve content prior to indexing
Post Processing
 ◦ Enhance result set
Site Design: Part 1

  ◦
  ◦


  ◦

  http://sales/eastern_region
  http://sales/western_region
  http://sales/international
Site Design: Part 2

    ◦

    ◦
    ◦

    ◦
    ◦
    ◦
The indexing process
Start with a „key‟: a file name, URL, DB row
Process the document:
 fetch the document
 identify the format
 convert into text
 recognize the language
 apply indexed synonyms
 extract entities
Feed the doc into the indexer
Enhance the quality of the content
 ◦ Improve content prior to indexing
 ◦ Add synonym terms for indexing
 ◦ Provide/extract entities for facets
 ◦ Add content where it makes sense
    (Context of user and document)
 ◦ How? FS4SP pipeline; IDOL IDX; Exalead API…
 ◦ Remember: speed is of the essence!
Enhance the quality of the query
 ◦ Autocomplete
 ◦ Evaluate/parse the query
    Recognize any special format
      (name, product number)
      Inappropriate vocabulary?
 ◦ Expand query using platform query language
 ◦ Is it a best bet term?

                        Think „Siri‟
Note: Scriptaculous.js includes this style of Autocomplete code .
Pingar also includes this in their commercial library of tools
Use all that your platform supports:
 ◦   Spell check (custom dictionary)
 ◦   Thesaurus/Synonyms
 ◦   Stemming/Plurals
 ◦   Fielded search/relevance
Call out to likely federated sources
Processing results before the user sees them
 ◦ Eliminate or collapse duplicate documents
 ◦ Insert best bets, spell suggests
 ◦ Don‟t hesitate to insert your own smarts
 ◦ Assemble sources (tabular view, clusters)
 ◦ If it looks like:
    a person name, show contact info
    a part number, show a link to the product page
    a common term, offer to disambiguate
…the quality improvement cycle
Relevancy: The Process


                    Identify the problem




     Test Results                          Diagnose the problem




                     Tune Docs/Search
Identifying Problem Queries

    ◦
    ◦

    ◦
    ◦

    ◦
    ◦
Diagnosing the Problem

    ◦

    ◦

    ◦

    ◦

    ◦
Emulate Google.com
   Simplify search form
   Use the context
   Regularly monitor and adjust search
   Actively encourage user feedback
   Encourage and recognize good
         metadata @ content creation
Add quality metadata tools
       Wide range of tools
       Costs vary based on solution
    ◦    Use „behavior-based‟ metadata
    ◦    Use custom-created taxonomies
    ◦    Use automated tools
Some solutions from NIE Partners
Pingar:
     Automated taxonomy, entity extraction,
     summarization and more
WAND:
     Vertical market human created taxonomies
Concept Searching:
     Seeded automatic taxonomy with
     human validation
Custom Taxonomies:
     Expert creates custom taxonomy for
     your company
Key Take-Aways
   Quantify the metric for your site(s)
   Encourage tagging at content creation
   Keep search and results simple
   Use the context (query cooking)
   Facilitate and take action on feedback
   Ongoing monitoring and tuning is required
Miles Kehoe                   Chris Fernandez               Mark Bennett
New Idea Engineering, Inc.    New Idea Engineering, Inc.    New Idea Engineering, Inc.
miles.kehoe@ideaeng.com       chris.fernandez@ideaeng.com   mbennett@ideaeng.com
408-446-3460 / 408-828-4592   408-446-3460 / 650-279-8343   408-446-3460 / 408-829-6513
Join us right after the event at Firehouse
Grill for a free drink, kindly provided by
AvePoint and Rackspace! 1765 East
Bayshore Road East Palo Alto, CA 94303
(Next to Nordstrom Rack).

    Drinks to be provided by…..

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Making Search Better: Managing Relevancy

  • 1.
  • 2.
  • 3. Join us right after the event at Firehouse Grill for a free drink, kindly provided by AvePoint and Rackspace! 1765 East Bayshore Road East Palo Alto, CA 94303 (Next to Nordstrom Rack). Drinks to be provided by…..
  • 4. Miles Kehoe Mark Bennett New Idea Engineering, Inc. New Idea Engineering, Inc. miles.kehoe@ideaeng.com mbennett@ideaeng.com 408-446-3460 / 408-828-4592 408-446-3460 / 408-829-6513 Chris Fernandez Evan Sayer New Idea Engineering, Inc. New Idea Engineering, Inc. chris.fernandez@ideaeng.com Evan.sayer@ideaeng.com 408-446-3460 / 650-279-8343 408-446-3460 /
  • 5. Agenda Introductions/Objectives Challenges of Enterprise Search Improving Search Quality Pressure Points of Search Improving Relevancy Key Take-Aways
  • 6. New Idea Engineering Inc. founded in 1996 ◦ The Business & Technology of Search Vendor-neutral search expertise: ◦ Commercial and Open Source Projects ◦ Evaluation, Selection, Implementation, Ongoing Mgmt Search analysts, developers, consultants, authors: ◦ Blog: www.enterprisesearchblog.com ◦ Presentations at SPTEchCon / ESS / KMWorld / … ◦ Authors of Professional Microsoft Search
  • 8.
  • 9. Different people have different intents There are rarely a single ‘right answer’ Intents often require multiple iterations
  • 10.
  • 12. Some Assembly Expected – often Required The Platform  Most search platforms are general purpose  Vendors expect you to customize platform  The OOB platform works* The Demo  Sales staff work from a script  Demos are scripted and use easy, clean data  “That‟s the product I want!”  A POC using your content is best criteria *“Any sufficiently advanced demo is indistinguishable from product”
  • 13. User Requirements Drive Product Capability Early search: exact match Users pushed for (and got):  Plurals/Stemming  Soundex  Document filters  Fielded search  Boolean Operators & advanced query syntax  Synonyms and thesaurus support  Security  Facets Navigation  …
  • 14. But Search is Tough to get Right Search touches everything:  All repositories/formats  Structured and unstructured  Has to respect security  Expected to co-exist with other repositories  Many „near duplicate‟ documents  Content changing in real time And it looks so easy on the „net & in the demo - and it has to have sub-second response!
  • 16. Simple Search Model The search User sees search like this: health Search Kernel Result List Did you mean Health Services 1. Health and smoking 2. High risk behaviors … As a search manager, you see the magic behind the curtain: Crawler/Indexer Search Index
  • 17.
  • 18. Anatomy of a search engine Inverted ‘Table Like’ Structure Word List for extracted fields (metadata) apple New printer ships Jan 20K PressRel.TXT autonomy iPhone top hit Dec 12K Music.PDF cisco 8 core chip Apr 128K News.DOCX digital google Snow Leopard Dec 8K Jdbc:12345 hewlett Win 8 Launch Aug 39K Info.XPS intel microsoft Content Repository
  • 19. Site Design ◦ Good planning is a key step in search! Indexing ◦ Improve content prior to /during indexing Query Pre-Processing ◦ Enhance the user query Maximize Kernel Capability ◦ Improve content prior to indexing Post Processing ◦ Enhance result set
  • 20. Site Design: Part 1 ◦ ◦ ◦ http://sales/eastern_region http://sales/western_region http://sales/international
  • 21. Site Design: Part 2  ◦  ◦ ◦  ◦ ◦ ◦
  • 22. The indexing process Start with a „key‟: a file name, URL, DB row Process the document:  fetch the document  identify the format  convert into text  recognize the language  apply indexed synonyms  extract entities Feed the doc into the indexer
  • 23.
  • 24. Enhance the quality of the content ◦ Improve content prior to indexing ◦ Add synonym terms for indexing ◦ Provide/extract entities for facets ◦ Add content where it makes sense (Context of user and document) ◦ How? FS4SP pipeline; IDOL IDX; Exalead API… ◦ Remember: speed is of the essence!
  • 25. Enhance the quality of the query ◦ Autocomplete ◦ Evaluate/parse the query  Recognize any special format (name, product number) Inappropriate vocabulary? ◦ Expand query using platform query language ◦ Is it a best bet term? Think „Siri‟
  • 26. Note: Scriptaculous.js includes this style of Autocomplete code . Pingar also includes this in their commercial library of tools
  • 27. Use all that your platform supports: ◦ Spell check (custom dictionary) ◦ Thesaurus/Synonyms ◦ Stemming/Plurals ◦ Fielded search/relevance Call out to likely federated sources
  • 28. Processing results before the user sees them ◦ Eliminate or collapse duplicate documents ◦ Insert best bets, spell suggests ◦ Don‟t hesitate to insert your own smarts ◦ Assemble sources (tabular view, clusters) ◦ If it looks like:  a person name, show contact info  a part number, show a link to the product page  a common term, offer to disambiguate
  • 29.
  • 31. Relevancy: The Process Identify the problem Test Results Diagnose the problem Tune Docs/Search
  • 32. Identifying Problem Queries  ◦ ◦  ◦ ◦  ◦ ◦
  • 33. Diagnosing the Problem  ◦  ◦  ◦  ◦  ◦
  • 34. Emulate Google.com  Simplify search form  Use the context  Regularly monitor and adjust search  Actively encourage user feedback  Encourage and recognize good metadata @ content creation
  • 35. Add quality metadata tools  Wide range of tools  Costs vary based on solution ◦ Use „behavior-based‟ metadata ◦ Use custom-created taxonomies ◦ Use automated tools
  • 36. Some solutions from NIE Partners Pingar: Automated taxonomy, entity extraction, summarization and more WAND: Vertical market human created taxonomies Concept Searching: Seeded automatic taxonomy with human validation Custom Taxonomies: Expert creates custom taxonomy for your company
  • 37. Key Take-Aways  Quantify the metric for your site(s)  Encourage tagging at content creation  Keep search and results simple  Use the context (query cooking)  Facilitate and take action on feedback  Ongoing monitoring and tuning is required
  • 38. Miles Kehoe Chris Fernandez Mark Bennett New Idea Engineering, Inc. New Idea Engineering, Inc. New Idea Engineering, Inc. miles.kehoe@ideaeng.com chris.fernandez@ideaeng.com mbennett@ideaeng.com 408-446-3460 / 408-828-4592 408-446-3460 / 650-279-8343 408-446-3460 / 408-829-6513
  • 39. Join us right after the event at Firehouse Grill for a free drink, kindly provided by AvePoint and Rackspace! 1765 East Bayshore Road East Palo Alto, CA 94303 (Next to Nordstrom Rack). Drinks to be provided by…..

Notes de l'éditeur

  1. Copyright (2012) Miles Kehoe/New Idea EngineeringInc