Abstract: Systems and methods for optimization-based travel itinerary planning utilizing a multiattribute travel booking platform are described herein. The system has a database, a scheduler, a parser, and a processor. The database stores a travel lexicon having attribute names, a travel taxonomy having look-up tables, and user preferences for a user related to travel attributes. The scheduler instantiates the travel attributes in terms of the travel lexicon and indexes them, searches for feasible travel itineraries, and transmits an optimal travel itinerary. The parser parses the travel-related query and ascertains a relevant attribute set, which produces attribute values. The processor receives a travel-related query from a user device, receives the user preferences from the database, ranks and weights the attribute values, associates values to the feasible travel itineraries, scores the feasible travel itineraries, and selects the optimal travel itinerary.

Abstract: Systems and methods for fulfilling travel requests are described herein. A method for fulfilling travel requests may commence with receiving a travel request from a user and determining itinerary components based on the travel request. The method may further include generating an itinerary network based on the itinerary components. The itinerary network may be generated by creating a plurality of nodes and creating a plurality of edges within the itinerary network. Each of the plurality of nodes may represent information associated with the travel request. The plurality of edges may represent an order of the plurality of nodes in time based on dependencies between the plurality of nodes. The method may further include generating a travel itinerary responsive to the travel request. The method may continue with presenting the generated travel itinerary to the user on a user interface of a computing device associated with the user.

Abstract: A method for changing an itinerary based on a user change request is disclosed. The method may commence with receiving an itinerary request associated with one or more passengers. The method may continue with receiving a user itinerary change request associated with the itinerary network. The method may continue with generating an itinerary object associated with the user itinerary change request. The method may continue with modifying the itinerary network based on the itinerary object. The method may continue with processing the itinerary network using a topology of the itinerary network to create a plurality of tuples, the plurality of tuples including at least flight tuples and hotel tuples. The method may continue with performing a content search for the plurality of tuples for each of the one or more passengers. The method may continue with generating feasible itinerary solutions based on results of the content searches.

Abstract: A method for facilitating travel reservations is described. The method may commence with receiving a travel-related query from a user and parsing the travel-related query to derive at least one attribute of the travel-related query. One or more further users may be selected based on comparing the at least one attribute of the user with attributes of the one or more further users. The at least one attribute of the user may be ranked based on preference data of the one or more further users. The method may continue with assigning weights to the at least one attribute based on the ranking to create at least one weighted attribute. Feasible travel itineraries may be searched based on the at least one attribute. The feasible travel itineraries may be scored based on the at least one weighted attribute and travel itineraries selected based on the scoring may be presented.

Abstract: A method for translating user requests into itinerary solutions is disclosed. The method may commence with receiving an itinerary request associated with one or more passengers. The method may continue with parsing the itinerary request to create an itinerary network associated with the itinerary request. The itinerary network may include at least two or more nodes and dependencies between two or more nodes. Upon the parsing, a topology of the itinerary network may be created. The method may include processing the itinerary network using the topology to create a plurality of tuples. The plurality of tuples may be analyzed. The method may continue with determining feasible itinerary solutions based on the analysis. The feasible itinerary solutions may be ranked. The method may further include presenting, to the one or more passengers, at least one itinerary solution selected from the feasible itinerary solutions based on the ranking.

Abstract: A method for translating user requests into itinerary solutions is disclosed. The method may commence with receiving an itinerary request associated with one or more passengers. The method may continue with parsing the itinerary request to create an itinerary network associated with the itinerary request. The itinerary network may include at least two or more nodes and dependencies between two or more nodes. Upon the parsing, a topology of the itinerary network may be created. The method may include processing the itinerary network using the topology to create a plurality of tuples. The plurality of tuples may be analyzed. The method may continue with determining feasible itinerary solutions based on the analysis. The feasible itinerary solutions may be ranked. The method may further include presenting, to the one or more passengers, at least one itinerary solution selected from the feasible itinerary solutions based on the ranking.

Abstract: A method for classifying a prospective traveler based on statistical inference is described herein. The method comprises receiving an input associated with the prospective traveler. Encoded representation of preferences and goals may be extracted from the input and levels and may be assigned to the preferences and goals. Based on the levels assigned to the preferences and goals, the prospective traveler may be classified according to one or more traveler profiles. Based on the classification, one or more consumer choices may be offered to the prospective traveler.

Abstract: A method for facilitating travel reservations is presented. The method may commence with receiving a travel related query. Upon receiving the travel related query, an attribute set relevant to the travel related query may be ascertained. The method may continue with parsing the travel related query to derive attribute values related to the attribute set. Upon parsing, at least one attribute of the attribute set may be initiated with the derived attribute values. The method may include ranking the at least one attribute based on user preferences and assigning weights to the at least one attribute based on the ranking to create at least one weighted attribute. The method may continue with searching for feasible travel itineraries. The feasible travel itineraries may be scored based on the at least one weighted attribute. At least one travel itinerary selected based on the scoring may be presented to a user.

Abstract: An exchange that fulfills natural language travel requests is described herein. According to some embodiments, systems for managing an exchange that fulfills natural language travel requests may include a publishing module that receives a plurality of inventory records from a plurality of suppliers, each of the plurality of inventory records pertaining to an available offering, the offering being defined by a set of metadata attributes, and a pattern recognition artificial intelligence engine that generates equivalent phrases for the set of metadata attributes from each inventory record by applying pattern recognition artificial intelligence to the set of metadata attributes, the equivalent phrases representing possible natural language queries to which an inventory record may correspond.

Abstract: A method for facilitating travel reservations is described. The method may commence with receiving a travel-related query from a user and parsing the travel-related query to derive at least one attribute of the travel-related query. One or more further users may be selected based on comparing the at least one attribute of the user with attributes of the one or more further users. The at least one attribute of the user may be ranked based on preference data of the one or more further users. The method may continue with assigning weights to the at least one attribute based on the ranking to create at least one weighted attribute. Feasible travel itineraries may be searched based on the at least one attribute. The feasible travel itineraries may be scored based on the at least one weighted attribute and travel itineraries selected based on the scoring may be presented.

Abstract: A method for classifying a prospective traveler based on statistical inference is described herein. The method comprises receiving an input associated with the prospective traveler. Encoded representation of preferences and goals may be extracted from the input and levels and may be assigned to the preferences and goals. Based on the levels assigned to the preferences and goals, the prospective traveler may be classified according to one or more traveler profiles. Based on the classification, one or more consumer choices may be offered to the prospective traveler.

Abstract: Systems and methods that process natural language travel requests are described herein. According to some embodiments, methods for processing natural language travel requests may include: (a) decoding itinerary components from a natural language travel request, (b) determining a node type for each of the itinerary components, (c) ascertaining dependencies between each of the itinerary components based upon respective node types, (d) generating an unconstrained schedule using the itinerary components and respective dependencies therebetween, and (d) allocating available inventory to each of the itinerary components according to the unconstrained schedule to fulfill the natural language travel request.

Abstract: A method for translating user requests into itinerary solutions is disclosed. The method may commence with receiving an itinerary request associated with one or more passengers. The method may continue with parsing the itinerary request to create an itinerary network associated with the itinerary request. The itinerary network may include at least two or more nodes and dependencies between two or more nodes. Upon the parsing, a topology of the itinerary network may be created. The method may include processing the itinerary network using the topology to create a plurality of tuples. The plurality of tuples may be analyzed. The method may continue with determining feasible itinerary solutions based on the analysis. The feasible itinerary solutions may be ranked. The method may further include presenting, to the one or more passengers, at least one itinerary solution selected from the feasible itinerary solutions based on the ranking.

Abstract: An exchange that fulfills natural language travel requests is described herein. According to some embodiments, systems for managing an exchange that fulfills natural language travel requests may include a publishing module that receives a plurality of inventory records from a plurality of suppliers, each of the plurality of inventory records pertaining to an available offering, the offering being defined by a set of metadata attributes, and a pattern recognition artificial intelligence engine that generates equivalent phrases for the set of metadata attributes from each inventory record by applying pattern recognition artificial intelligence to the set of metadata attributes, the equivalent phrases representing possible natural language queries to which an inventory record may correspond.

Abstract: A method for facilitating travel reservations is described. The method may commence with receiving a travel-related query from a user and parsing the travel-related query to derive at least one attribute of the travel-related query. One or more further users may be selected based on comparing the at least one attribute of the user with attributes of the one or more further users. The at least one attribute of the user may be ranked based on preference data of the one or more further users. The method may continue with assigning weights to the at least one attribute based on the ranking to create at least one weighted attribute. Feasible travel itineraries may be searched based on the at least one attribute. The feasible travel itineraries may be scored based on the at least one weighted attribute and travel itineraries selected based on the scoring may be presented.

Abstract: A method for translating user requests into itinerary solutions is disclosed. The method may commence with receiving an itinerary request associated with one or more passengers. The method may continue with parsing the itinerary request to create an itinerary network associated with the itinerary request. The itinerary network may include at least two or more nodes and dependencies between two or more nodes. Upon the parsing, a topology of the itinerary network may be created. The method may include processing the itinerary network using the topology to create a plurality of tuples. The plurality of tuples may be analyzed. The method may continue with determining feasible itinerary solutions based on the analysis. The feasible itinerary solutions may be ranked. The method may further include presenting, to the one or more passengers, at least one itinerary solution selected from the feasible itinerary solutions based on the ranking.

Abstract: Provided are methods and systems for efficient matching of suppliers and customers for travel-related and other types of goods and services. These methods and systems are based on an exchange or market concept, in which a computer system performs matching between different parties. Specifically, an exchange system may compare customers' requests with suppliers' content records. In certain embodiments, an exchange system sends notifications of customers' requests to suppliers based on criteria presented by the suppliers. Users' requests and/or vendors' content records may be processed using natural language parser to determine appropriate components for searches and matches. This substantially improves efficiency of the exchange system and makes it more user friendly as users and vendors may present different terms in their respective searches and entries. An exchange system may include a pattern recognition component and semantic natural language parser to perform this function.