Abstract: The present invention provides a methodology and system for efficiently performing travel reservation queries and presenting significant search results to a user. A travel reservation search engine constructs a first query from one or more constraints. The first query has a threshold probability of returning a first set of search results that will lead to the purchase of a travel reservation. Additionally, if determined necessary by the search engine a second query is constructed from one or more constraints. The second query returns a second set of search results.

Abstract: According to some aspects, a system is provided comprising at least one computer readable storage medium storing a cache of flight information comprising a plurality of flight solutions, the cache capable of being accessed to obtain flight solutions that meet a criteria specified in one or more flight search queries, and at least one computer programmed to apply at least one machine learning model to at least some of the flight information in the flight information cache to classify at least one of the plurality of flight solutions according to an assessed fidelity of the at least one flight solution, and perform at least one action based on the classified at least one flight solution.

Abstract: The present invention provides a methodology and system for efficiently performing travel reservation queries and presenting significant search results to a user. A travel reservation search engine constructs a first query from one or more constraints. The first query has a threshold probability of returning a first set of search results that will lead to the purchase of a travel reservation. Additionally, if determined necessary by the search engine a second query is constructed from one or more constraints. The second query returns a second set of search results.

Abstract: The present invention provides a methodology and system for efficiently performing travel reservation queries and presenting significant search results to a user. A travel reservation search engine constructs a first query from one or more constraints. The first query has a threshold probability of returning a first set of search results that will lead to the purchase of a travel reservation. Additionally, if determined necessary by the search engine a second query is constructed from one or more constraints. The second query returns a second set of search results.

Abstract: According to some aspects, a system is provided comprising at least one computer readable storage medium storing a cache of flight information comprising a plurality of flight solutions, the cache capable of being accessed to obtain flight solutions that meet a criteria specified in one or more flight search queries, and at least one computer programmed to apply at least one machine learning model to at least some of the flight information in the flight information cache to classify at least one of the plurality of flight solutions according to an assessed fidelity of the at least one flight solution, and perform at least one action based on the classified at least one flight solution.

Abstract: According to some aspects, a system is provided comprising at least one computer readable storage medium storing a cache of flight information comprising a plurality of flight solutions, the cache capable of being accessed to obtain flight solutions that meet a criteria specified in one or more flight search queries, and at least one computer programmed to apply at least one machine learning model to at least some of the flight information in the flight information cache to classify at least one of the plurality of flight solutions according to an assessed fidelity of the at least one flight solution, and perform at least one action based on the classified at least one flight solution.

Abstract: According to some aspects, a system is provided comprising at least one computer readable storage medium storing a cache of flight information comprising a plurality of flight solutions, the cache capable of being accessed to obtain flight solutions that meet a criteria specified in one or more flight search queries, and at least one computer programmed to apply at least one machine learning model to at least some of the flight information in the flight information cache to classify at least one of the plurality of flight solutions according to an assessed fidelity of the at least one flight solution, and perform at least one action based on the classified at least one flight solution.

Abstract: The present invention provides a methodology and system for efficiently performing travel reservation queries and presenting significant search results to a user. A travel reservation search engine constructs a first query from one or more constraints. The first query has a threshold probability of returning a first set of search results that will lead to the purchase of a travel reservation. Additionally, if determined necessary by the search engine a second query is constructed from one or more constraints. The second query returns a second set of search results.