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 April 30:
✓ Raspberry Pi or C64 Mini for free
✓Save up to 313 €
✓10 % Team Discount
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Join the ML Revolution!
Register until May 28:
✓ ML Intro Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $580
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Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
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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.

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This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

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

Behind the Tracks