Relatediin
Relatediin is a software framework and knowledge platform designed to identify and rank items that are related across diverse data sources. It builds an interconnected representation of entities, documents, products, and interactions, and assigns relatedness scores that can drive search, recommendations, and analytics. The system is designed to operate on heterogeneous data, including text, structured metadata, and user behavior signals.
Its core approach combines graph-based representations with machine learning. Data is ingested into a relational graph
Development and distribution: Relatediin originated in research settings focused on link prediction and recommendation, and later
Applications: The technology is used to improve search relevance, expand recommendations, connect related items in digital
Limitations and reception: As with other relatedness systems, Relatediin relies on data quality and can reflect