Taming Text with Grant Ingersoll
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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.
Questions
- 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?
Links
- SE Radio Episode 187: Grant Ingersoll on the Solr Search Engine
- SE Radio Episode 193: Apache Mahout
- Apache Lucene
- Grant on Twitter
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