The Conference for Machine Learning Innovation

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

Shorttalk
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Register until October 21:
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✓ 10% team discount
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Join the ML Revolution!
Register until October 21:
✓ 50% off on all prices
✓ 10% team discount
Register Now
Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 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 Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks