Proposed by: Vaibhav Malpani

Building search engine on ElasticSearch using ML

In this talk, I will be showing how we can create a search engine using Elasticsearch and Machine Learning. We will use "Learning To Rank (LTR)" to rank the most relevant documents over other. Will show how the normal search works with just Elasticsearch and how we can leverage ML to get better search results for our search engine. I will include a demo at the end.

Elasticsearch and the LTR plugin both are Free and open source to use.

Source code/Reference: https://docs.google.com/presentation/d/1fldmTHFIFATHqbgvIjCk9WdYMNzfEj8V/edit?usp=sharing&ouid=103691695454264324088&rtpof=true&sd=true

Talk duration: