Actonomy now brings semantic search to a next level by learning what the user is looking for. Users often use search keywords that are not recognized by semantic systems leading to no results. By learning from the user search behavior, Actonomy now solves this problem : all new or unknown search terms are automatically added using machine learning. The result : a system that systematically adapts itself to the user context with the goal to systematically provide better results not found by traditional semantic search systems.
Powerful and accurate semantic search solutions rely on a thesaurus or ontology to classify and understand what people are searching for. If words are not in this thesaurus and used while searching, then typically semantic search will not give meaningful results or even worse no results at all. With the new functionality, we now allow the core system to keep growing and learning from the user and return meaningful results at any time.
