RelcyEngineeringPizza Chicago: Contextual InterpretationRelcy’s search engine is designed to provide entity centric results which understand the intent of the user. One pillar of our approach is…Mar 10, 2016Mar 10, 2016
RelcyEngineeringUsing Wikipedia Category Graph for Semantic UnderstandingA key element of Relcy’s search engine is a semantic understanding of entities and topics which help us create a more relevant experience…Feb 24, 2016Feb 24, 2016
RelcyEngineeringRelcy Search ArchitectureIn previous set of posts in this series, we focussed on how Relcy collects data and builds the Knowledge Graph which powers Relcy search…Feb 3, 2016Feb 3, 2016
RelcyEngineeringData Fusion AlgorithmsIn the first post in this series, we provided an introduction to the underlying Knowledge Graph (KG) which powers the Relcy Search…Feb 2, 2016Feb 2, 2016
RelcyEngineeringData Acquisition PlatformThe Relcy experience is powered by the Relcy Knowledge Graph (KG) which contains hundred of millions of entity nodes. Gathering and…Feb 1, 2016Feb 1, 2016
RelcyEngineeringWhat Powers Relcy?At Relcy, our goal is to offer the best in class search experience allowing our users to get to the information inside apps in the most…Dec 9, 2015Dec 9, 2015