Roi Krakovski | The Usearch Contextual Graph
KGC | All Access Subscription
•
16m
We exploit the recent breakthroughs in Neuroscience to build web search engines based entirely on AI-generated data, thus eliminating the need to collect users’ data. We show how to generate search queries that are almost identical to real users’ queries. We use the generated queries to build a contextual graph to predict user intent.
In this talk, we will review how the recent breakthroughs in Neuroscience can be exploited to create Web search engines totally based on AI-generated data - eliminating the need to collect users’ data. In particular, we will focus on:
How can we generate search queries that are almost identical to a real user’s ones?
How can we exploit the generated queries to predict user intent in a contextual graph?
Up Next in KGC | All Access Subscription
-
Krzysztof Janowicz | Know, Know Where...
The KnowWhereGraph project aims at providing a densely interlinked knowledge graph for environmental intelligence applications and situational awareness services (area briefings) that enrich the data of decision-makers and data scientists with pre-integrated data custom-tailored to their spatial ...
-
Neda Abolhassani & Teresa Tung | Acce...
A data supply chain is industry-specific, but many data prep tools are industry agnostic. As part doing this work, data engineers and domain experts apply their deep knowledge of how to transform raw data to a form that can address specific problems. In this way, the data supply chain is a doma...
-
Julian Grummer | What Can We Learn Fr...
The Wirecard scandal was one of the most shocking economic events in Germany in 2020. The former DAX30 company collapsed on June 25, owing creditors more than €3.5 billion (almost $4 billion) after disclosing a gaping hole in its books that its auditor EY said was the result of a sophisticated gl...