Abstract: A computer-implemented method for training a query ranking machine-learning model to provide an answer for a user query in a search engine. The method obtains a first training set and training a query-ranking machine-learning mode and a query generation machine-learning model on the first training set. From a knowledge database, the query generation machine-learning model generates a second training set. The query-ranking machine-learning model filters the second training set and the query-ranking machine-learning model is retrained on the filtered training set. The steps of generating a second training set, filtering the second training set and retraining the query ranking machine-learning model on the filtered training set may be repeated several times.

Abstract: This invention relates to a system for and a method (100) of searching a collection of digital information (150) comprising a number of digital documents (110), the method comprising receiving or obtaining (102) a search query, the query comprising a number of search terms, searching (103) an index (300) using the search terms thereby providing information (301) about which digital documents (110) of the collection of digital information (150) that contains a given search term and one or more search related metrics (302; 303; 304; 305; 306), ranking (105) at least a part of the search query search result according to one or more predetermined criteria providing a ranked search result, and providing at least a part of the ranked search result (106), wherein the ranking provides robust likelihood for low count terms by using the one or more search related metrics (302; 303; 304; 305; 306).

Abstract: This invention relates to a system for and a method (100) of searching a collection of digital information (150) comprising a number of digital documents (110), the method comprising receiving or obtaining (102) a search query, the query comprising a number of search terms, searching (103) an index (300) using the search terms thereby providing information (301) about which digital documents (110) of the collection of digital information (150) that contains a given search term and one or more search related metrics (302; 303; 304; 305; 306), ranking (105) at least a part of the search query search result according to one or more predetermined criteria providing a ranked search result, and providing at least a part of the ranked search result (106), wherein the ranking provides robust likelihood for low count terms by using the one or more search related metrics (302; 303; 304; 305; 306).