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“It’s a great time to be an engineer.”
Information retrieval and search engineering are becoming more intertwined with machine learning and natural language processing, leading to a wealth of work to be done in the field.
Grant Ingersoll is a founder and CTO of LucidWorks, which helps clients make sense of their data and deploy search applications built on Apache Lucene and Solr.
What kinds of applications need search functionality?
Do you have to vectorize client data and files before you can use them?
How are search and machine learning complementary?
What is the difference between supervised and unsupervised machine learning?
When you teach people the concepts of information retrieval, what are the things that people have trouble understanding?
What do you mean when you say “embrace fuzziness”?
How will information retrieval change in the next 5-10 years?
SE Radio Episode 187: Grant Ingersoll on the Solr Search Engine
SE Radio Episode 193: Apache Mahout
Grant on Twitter