The Missing Hello World for OpenNLP

Eric PughOctober 4, 2018

In 2012 I first saw OpenNLP, and was both excited by it, but also appalled by the documentation. I wrote this blog post in 2012, but turns out I never actually published it! So here it is, updated for OpenNLP 1.9.0!

Enterprise Data World 2018 Recap

Eric PughJune 14, 2018

Your precious data is typically an ugly unpolished gem. Enterprise Data World was all about how to polish it up! Some thoughts from a Relevancy perspective.

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Berlin Buzzwords - The Neural Search Frontier

Doug TurnbullJune 10, 2018

Will search relevance be revolutionized by deep learning? Join Doug Turnbull, author of 'Relevant Search', and Tommaso Teofili, author of 'Deep Learning for Search' as we explore the budding field of Neural Search.

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Cognitive Computing Summit - Learning To Rank

Elizabeth HaubertMay 22, 2018

Learning to Rank (LTR) is now available for both Solr and Elasticsearch. Why is this such a hot topic? What does an organization need to leverage a Learning to Rank solution? Liz explains the LTR pipeline in terms of what is available as an off-the-shelf solution and what isn't. She discusses the challenges faced when implementing LTR and some open research areas moving forward.

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Haystack - The Search Relevance Conference.

Eric PughApril 10, 2018

Haystack is the conference for improving search relevance. Haystack is the no-holds-barred conference for organizations where search, matching, and relevance really matters to the bottom line.

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Cognitive Solutions day

Eric PughFebruary 23, 2018

Want to hear how the next generation of digital solutions are applying AI and Machine Intelligence to create intelligent applications, like Chatbots and Virtual Assistants?

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LuceneRevolution 2017

September 12, 2017

*The* conference focused on Solr, we've made the pilgrimage since 2010

Optimizing User-Product Matching Marketplaces

Doug TurnbullJuly 4, 2017

We explore the parallels between search, recommendation systems and microeconomics. Proposing a new way to think of search relevance and recsys as a system of maximizing the utility of multiple buyers. Is search and discovery akin to quantitative finance in its potential for optimization?