The Conference for Machine Learning Innovation

How Knowledge Graph Based Recommendations are Boosting our Natural Language Querying Engine

Shorttalk
Join the ML Revolution!
Register until March 11:
✓Save more than 500 € and get ML Intro Day for free
✓ Workshop day for free
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until March 11:
✓Save more than 500 € and get ML Intro Day for free
✓ Workshop day for free
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Infos

If you’ve come across the term knowledge graph recently, you know that these small sunbursts of data are worth their weight in the information. Knowledge graphs can capture connections in your data that you never knew existed.

At Sisense, the world-leading data and analytics platform, users crunch numbers and ask complex analytical questions on a daily basis. By hooking up our platform’s meta-data of user activity into a graph, we have unleashed a powerful recommendation engine of organizational memory that enables the transfer of domain expertise to a multitude of end-users.

In this talk, we will walk through how our natural language query interface was boosted by recommendations from our knowledge graph. We will go over the full cycle, from generating a knowledge graph to real-time recommendations for our natural language querying interface, giving our users the best-personalized experience.

This Session Diese Session Take me to the current program of . Hier geht es zum aktuellen Programm von Online Edition Online Edition , Munich Munich , Singapore Singapore or oder Berlin Berlin .

Behind the Tracks