Paul was an early pioneer in the field of text retrieval and has worked on search engines for over 30 years. He was the architect and inventor of RetrievalWare, a ground-breaking natural-language based statistical text search engine which he started in 1989 and grew to $50 million in annual sales worldwide. RetrievalWare is now owned by Microsoft Corporation. Paul served as the chief architect at Search Technologies until their acquisition by Accenture in July 2017, and is now Innovation Lead with Accenture’s Applied Intelligence group.
Paul Nelson is speaking at the following session/s
Creating a Custom Tanimoto or Cosine Similarity Vector Operator for Lucene / Solr
This presentation will take attendees a step-by-step process of creating a custom vector comparison operator for Solr for producing either Tanimoto or Cosine similarity comparisons. This includes the analyzer for indexing the vectors and the Lucene operators necessary for implementing the vector and the appropriate Solr Plug-ins. A step-by-step presentation on how to create new operators will be given along with special tricks for creating vector operators in Solr.
Creating custom operators is an arcane skill but opens up an enormous amount of power in creating new mathematical methods for relevancy ranking, scoring and solving of large-scale linear equations. They'll see how to create new operators in Solr.
Target audience is technical, i.e. developers, mathematicians and the like, as well as those interested in opening up search to more complex and mathematically rigorous similarity comparisons for relevancy scoring. Software coding experience is preferred, but not a requirement. Even those without strong coding skills should be able to understand the capabilities provided.