Patent ID: 11921789
Assignee: MCMASTER-CARR SUPPLY COMPANY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. A method for training a search engine, the method comprising:
ingesting data into a processor, the data including product information of a product in an on-line product catalog on which the search engine is to be trained and historical interaction data of users with the search engine that includes a historical record of user input search arguments;
determining, by the processor, relevant descriptors of the product in the on-line product catalog from the ingested data;
creating, by the processor, compound descriptors of the product in the on-line product catalog from the relevant descriptors;
creating, by the processor, candidate synthetic search arguments that seek the product in the on-line product catalog from the relevant descriptors and the compound descriptors;
selecting, by the processor, synthetic search arguments from the candidate synthetic search arguments that seek the product in the on-line product catalog based on similarities to search arguments in the historical record of user input search arguments;
providing, by the processor, the synthetic search arguments to the search engine to train the search engine to provide a response that includes target information identifying the product in the on-line product catalog sought by the synthetic search arguments;
monitoring, by the processor, a response by the search engine to the synthetic search arguments, the evaluator being configured to determine if the response by the search engine to the synthetic search argument includes the target information;
monitoring, by the processor, a second response by the search engine to a user input search argument that seeks the product in the on-line product catalog; and
triggering, by the processor, retraining of the search engine if the search engine fails to identify the product sought by the user input search argument.