Finding Anything: Real-time Search with IndexTank
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IndexTank provides a real-time search service that allows developers to add powerful search capabilities to their applications without having to implement it themselves. It allows for features like real-time indexing and searching, custom scoring, autocomplete, faceting, geo search, and advanced text search. The speaker discusses how he used IndexTank to build search features for two sample applications in a short period of time with little effort. He also highlights reddit.com as a case study of a large site that uses IndexTank to improve its search capabilities.
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Introduction to Neuroplasticity & its application in neuro rehabilitation
Acute management of Stroke By Dr Sanjay jaiswal Neurologist sept2012
Acute management of Stroke By Dr Sanjay jaiswal Neurologist sept2012
Similar to Finding Anything: Real-time Search with IndexTank
Indextank east bay ruby meetup slides
This document provides an overview of IndexTank, a real-time search service. It discusses the current state of search implementation on many web applications, which is often lacking. IndexTank aims to improve search capabilities by offering search as a hosted service, allowing developers to focus on their applications instead of building their own search infrastructure. Key IndexTank features highlighted include real-time indexing and search, custom scoring, autocomplete, faceting, geo search, and advanced text search capabilities. The document also presents a case study of reddit.com improving its search with IndexTank.
Building multi billion ( dollars, users, documents ) search engines on open ...
How to use open source technologies to build search engines for billions of users, billions of revenue, billions of documents
Keynote talk at The 16th International Conference on Open Source Systems.
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Top 8 SEO Trends to Watch Out in 2019
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Flash SEO Secrets
Max 2009 presentation that I co-presented with Adobe\'s Duane Nickull. This was a featured top 3 MAX presentation. Watch at http://tr.im/JzGf
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10 Digital Marketing Trends for 2017
The following was presented by Alex Ioanna, Tyler Brown, and Caitlin Boroden at the 2017 BlogPaws Conference in Myrtle Beach, SC.
Google
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Improving your team's source code searching capabilities - Voxxed Thessalonik...
Nikos Katirtzis gave a presentation on improving source code searching capabilities. He discussed why source code search engines are needed as developers spend more time reading code than writing it. He then compared popular code search engines like Searchcode Server, Hound, Zoekt, and Sourcegraph. Finally, he described HApiDoc, a service developed by Hotels.com that mines API usage examples from client source code using an approach called CLAMS.
Improving your team’s source code searching capabilities
Nikos Katirtzis gave a presentation on improving source code searching capabilities. He discussed why source code search engines are needed, compared popular options like Searchcode Server, Hound, Zoekt, and Sourcegraph. He also described HApiDoc, a service that mines API usage examples from client source code using CLAMS, an approach to cluster and summarize examples. The presentation provided recommendations on source code search and considerations for setting one up.
API's - Successes to Replicate. Pitfalls to Avoid.
The document provides advice on designing APIs based on the author's experience creating real estate APIs over 10+ years. Some key lessons include:
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How to Master SEO in 2017
Explore effective SEO 2017 Essentials. Gain insights from webinar on 'How to Master SEO In 2017' led by Navneet Kaushal, CEO – PageTraffic.
Mozilla Foundation Metrics - presentation to engineers
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Jon Hyman and Kenny Gorman presented on how Appboy scaled their MongoDB platform 40x over a year and a half as data volume and user growth increased dramatically. They started with a single unsharded replica set on AWS that struggled with locking issues as data and users grew. They then scaled vertically, added sharding across multiple servers, implemented write buffering to Redis to address a bottleneck, split collections across databases, and finally isolated large enterprise customers onto their own databases for performance. These changes helped Appboy scale from handling 2.5 million events per day for 8 million users to over 4 billion events per month.
Mythology of search engine
The document discusses the history and workings of search engines. It describes how search engines like Archie were some of the earliest examples from 1990. It explains the process search engines use, including crawling the web with bots, indexing pages, and then processing queries to return relevant results. The document also discusses the importance of search engine algorithms and why they are kept secret by companies. Finally, it briefly describes Google's new Caffeine search engine and Yahoo's BOSS platform that allows developers to build custom search tools using Yahoo's index and infrastructure.
Search engines
A search engine indexes web pages using crawlers or spiders. It builds an index that allows users to search for keywords. Directories created by people may provide more curated results than broad search engine indexes. Popular search engines include Google, Yahoo, and Bing. Boolean operators like AND, OR, and NOT allow refining searches. Settings like safe search and advanced options provide more control over results.
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Bearish SEO: Defining the User Experience for Google’s Panda Search Landscape
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Is having no limits a limitation [distilled version]
Case study from Euro IA 2013. What if you had time, money and autonomy to do whatever you wanted and build it exactly the way you wanted? Oh and to add, you also have no risk. What do you think would be your biggest challenge in building a large scale product this way? Content? Structure? Or is the biggest challenge that there were no boundaries?
Similar to Finding Anything: Real-time Search with IndexTank (20)
Building multi billion ( dollars, users, documents ) search engines on open ...
Building multi billion ( dollars, users, documents ) search engines on open ...
Improving your team's source code searching capabilities - Voxxed Thessalonik...
Improving your team's source code searching capabilities - Voxxed Thessalonik...
Improving your team’s source code searching capabilities
Improving your team’s source code searching capabilities
API's - Successes to Replicate. Pitfalls to Avoid.
API's - Successes to Replicate. Pitfalls to Avoid.
Mozilla Foundation Metrics - presentation to engineers
Mozilla Foundation Metrics - presentation to engineers
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How Appboy’s Marketing Automation for Apps Platform Grew 40x on the ObjectRoc...
API's - Successes to Replicate. Pitfalls to Avoid.
API's - Successes to Replicate. Pitfalls to Avoid.
Bearish SEO: Defining the User Experience for Google’s Panda Search Landscape
Bearish SEO: Defining the User Experience for Google’s Panda Search Landscape
Is having no limits a limitation [distilled version]
Is having no limits a limitation [distilled version]
Finding Anything: Real-time Search with IndexTank
- 4. Recently converted to Ruby
- 5. In love with Open Source Software
- 6. More at http://whyhello.im/tim
- 8. Quick survey: how much time/effort did YOU spend implementing search on your webapp?
- 9. Examples of services that need improved search
- 10. IndexTank to the rescue
- 11. Case study: reddit.com
- 13. Two apps I built with IndexTank
- 14. Live Demo
- 18. Or do you give up and head for google site search instead?
- 20. How many times have you iterated on your search feature?
- 21. When was the last time someone thanked you for building a powerful, reliable search feature for your webapp?
- 23. Minimal implementation is the norm
- 24. If it wasn't for MySQL/MS-SQL full text indexing, most apps probably wouldn't even have a search feature
- 25. Most good web apps don't make it easy for users to find specific content outside of predetermined navigation
- 27. Don't worry–they can take it!
- 28. App #1: Github
- 29. App #1: Github
- 32. Check out this example
- 33. App #1: Github
- 35. Can't search by most popular (most watched)
- 39. App #2: Amazon Web Services
- 42. Stack search
- 43. etc...
- 45. Massive quantities of quality content
- 46. Unfortunately not discoverable in meaningful ways
- 48. Recency
- 52. Any company willing to invest in the resources can build and host a high quality search engine
- 53. However, must you roll your own?
- 56. Let the experts refine it
- 61. Autocomplete
- 62. Faceting
- 63. Geo search
- 68. Choose which fields are searched
- 69. Use pre-written scoring functions
- 70. Or write your own
- 71. Custom Scoring
- 75. Faceting
- 78. Geo
- 82. Scalability included for free
- 88. Let's check it out now
- 90. Built my first irl Rails app in an afternoon/evening w/ fellow hacker Chris Saylor (@cwsaylor)
- 91. Didn't win the contest but learned how easy it is to quickly create highly targeted search
- 93. Hosted at http://toxosis.heroku.com/
- 94. Search enabled on many fields including city/state/zip, toxin
- 97. How to get a Rails gig? Develop an app multiple Rails apps and show it them off
- 98. Opportunities are everywhere–contests, hackathons, and weekend hacks for developer community
- 100. Hosted at http://sxswdex.heroku.com/
- 101. Design goal: do a better job than SXSW official site
- 102. Search within bio, company, location, name