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Thursday, October 13 • 3:10pm - 3:50pm
Improving Enterprise find-ability with custom relevance models
On the surface search on the web and within the enterprise share some common characteristics. However, there are key differences that makes enterprise search a specialized domain. For each of salesforce's 150,000 customers, we enable search over highly diverse and custom data sets spanning 3 distinct forms -- CRM data in relational systems, unstructured data in content management systems and enterprise social data.

This talk shares some of the insights we’ve gleaned from building a relevance engine for the enterprise from the ground up. Specifically, we lay out the components that enable us to machine learn our ranking function from training to evaluation. We showcase the customizations applied on various boosts and query functions provided by Solr based on data type being searched for. Finally, we touch upon some of the metrics that are used to measure and optimize search relevance by document type.

Speakers
avatar for Jayesh Govindarajan

Jayesh Govindarajan

Senior Director, Search Relevance, Salesforce
Jayesh is the Senior Director of Search and Data Science at Salesforce. He joined Salesforce through the acquisition of MinHash, a data science startup he founded to focus on solving problems in entity extraction, topic classification, and trend detection on an enterprise platform that brings together machine learning, search and large scale data processing. He is also the creator of AILA, an AI driven marketing assistant that detects fast... Read More →


Thursday October 13, 2016 3:10pm - 3:50pm
Commonwealth Sheraton Boston