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Onton's release of Ontology 1 marks a significant shift in e-commerce search by integrating neurosymbolic reasoning to validate product attributes against objective properties rather than relying solely on seller-provided labels. This approach directly addresses the limitations of current retrieval systems when handling complex, conversational queries involving negation or specific environmental constraints like "pet-friendly." The model demonstrates that incorporating symbolic logic into neural architectures can substantially improve precision over standard large-scale search engines without requiring full catalog indexing.
Onton Releases Ontology 1: A Neurosymbolic Search Model That is 2.7x More Accurate than the World’s Best E-commerce Search Engines
Onton, a San Francisco-based search and discovery company, has released Ontology 1, a neurosymbolic model for complex, conversational, multimodal product search. On a 90-query benchmark scored by three independent LLM judges, Ontology 1 reached a mean precision@10 of 0.630, against 0.543 for Google Shopping and 0.469 for Amazon. It did this while indexing roughly 1% […] The post Onton Releases Ontology 1: A Neurosymbolic Search Model That is 2.7x More Accurate than the World’s Best E-commerce Search Engines appeared first on MarkTechPost.
Onton, a San Francisco-based search and discovery company, has released Ontology 1, a neurosymbolic model for complex, conversational, multimodal product search. On a 90-query benchmark scored by three independent LLM judges, Ontology 1 reached a mean precision@10 of 0.630, against 0.543 for Google Shopping and 0.469 for Amazon. It did this while indexing roughly 1% of their catalogs. Yes, but not as weights you download. Ontology 1 is live for end users at Onton.com, and Onton says partner access is granted case…
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