Powering Personalized Search with Knowledge Graphs

Transforming Legacy Faceted Search into Personalized Product Discovery


The latest in e-commerce trends is the transformation of legacy faceted search into a more personalized experience. By applying semantic reasoning over a knowledge graph, contextual information about a customer can be combined with product data, delivering relevant search results tailored to them.

The first half of this webinar is designed for the business executive. We’ll focus on why personalized search is an essential e-commerce ingredient. And we’ll demystify the process of implementing a more personalized product discovery experience for your customers.

The second half of the webinar is designed for the data strategist. We’ll cover the data modeling required to build knowledge graphs for successful personalized search. We’ll include a real-world demonstration and cover the steps you can take to get started.

Who should attend: Executives who care about e-commerce and the data experts who enable them.

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Team and Resources

The team behind Oxford Semantic Technologies started working on RDFox in 2011 at the Computer Science Department of the University of Oxford with the conviction that flexible and high-performance reasoning was a possibility for data-intensive applications without jeopardising the correctness of the results. RDFox is the first market-ready knowledge graph designed from the ground up with reasoning in mind. Oxford Semantic Technologies is a spin-out of the University of Oxford and is backed by leading investors including Samsung Venture Investment Corporation (SVIC), Oxford Sciences Enterprises (OSE) and Oxford University Innovation (OUI).

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