John, register now for our webinar on Tuesday, December 15, 2020, at 5 p.m. CET.
Taxonomies, Knowledge Graphs, and AI Delivering Targeted Content Recommendations (A Case Study) Date: Tuesday, December 15, 2020, at 5:00 p.m. CET
| Dear John, Relevant content can be searched or browsed for by users, but it can also be delivered in the form of a personalized recommendation. But building recommendation engines that work well can be tricky, especially when dealing with vast amounts of unstructured information, such as free-text documents, images and videos. Join our upcoming webinar to learn how to build recommendation engines that work with both structured and unstructured information. Heather Hedden, Data and Knowledge Engineer at Semantic Web Company and Lulit Tesfaye, the Practice Lead for Data and Information Management at Enterprise Knowledge, LLC will present a case study of a targeted content recommendation engine, which suggested relevant course content based on users’ performance on online training material test completion. In addition to showing how the system was designed and created, they will also present the more fundamental principles of taxonomy and ontology design as the backbone to the knowledge graph. Join us on Tuesday, December 15, 2020 at 5:00 p.m. CET. But don’t worry if you can’t make it, register and we will share a recording with you once it’s ready! | Speakers: Heather Hedden, Data and Knowledge Engineer at Semantic Web Company Lulit Tesfaye Practice Lead for Data and Information Management at Enterprise Knowledge, LLC Kind regards, The PoolParty team | |