Search Results for "recommendation"

...This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do. Recommendation, personalization and targeting involves evaluating recommender models over content items to select the best ones. Vespa lets you build applications which does this online, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. This makes it possible to make recommendations specifically for each user or situation, using completely up to date information.

An implementation (parser/interpreter) of SPARQL, a query language for RDF data that is the current recommendation of the W3C. Allows easy cusomization of the language and plugs in to several popular RDF servers, like Sesame.