PoolParty 2024: Recommender System Workflow and APIs

The PoolParty 2024 Release comes stacked with various product innovations and usability improvements. www.poolparty....
This video dives into a recommender product innovation: A Knowledge-Based Recommender System. The PoolParty Recommender System uses a knowledge graph to make sophisticated content pairings in a repository/library based on the semantic relations between document tags. They do not focus merely on similarities between objects, but on domain knowledge and context as well. This behavior widens the scope of what the system can recommend. This video walks you through the workflow of a semantic recommendation from extraction to expansion to retrieval, and the APIs that work behind this process. The PoolParty Recommender is tailor-made and trained by a company’s own data, so it is more precise and helpful with its recommendations.