Relevant Search - Study Note

This is a study note from reading the book, Relevant Search.

Relevant Search: With applications for Solr and Elasticsearch

"Often the hardest part of being a relevant engineer is understanding the relationship between context and information needs."

• user search arrive with great deal of baggage such as geolocation & user session.

• tokens that come from analysis serve as features that describe the document.
• HTMLStripCharFilter
• standard tokenizer

• meta data: term position and term offset

• Lucene operators : MUST SHOULD MUST_NOT

• Q. to self: What is low cardinality?

• compound query
• OLAP (Online Analytical Processing)