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: 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: 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: 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 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 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: Systems and methods for facilitating multi-passenger and multiattribute travel reservations are presented. The system has a database, a scheduler, a parser, and a processor. The database stores a travel lexicon having attribute names and a travel taxonomy having look-up tables. The scheduler instantiates travel attributes in terms of the travel lexicon to generate instantiated user preferences, indexes the instantiated user preferences, and searches for feasible travel itineraries. The parser parses user preferences to derive a vector function having attribute values and ascertains relevant attribute sets for the user preferences.

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: 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 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 improved management of an airline inventory during a service disruption is described. The method comprises receiving, at a mirror of a legacy inventory system, one or more updates from a re-accommodation system. The mirror is populated with the one or more updates. The method proceeds with communicating the one or more updates to the legacy inventory system at a controlled rate. The one or more updates communicated to the legacy inventory system are flagged as pending update. A confirmation that the one or more records are updated in the legacy inventory system is received. The confirmation indicates synchronization of the mirror and legacy inventory system. In response to the confirmation, the one or more updates are unflagged in the mirror. Statistical evaluation of the inventory is provided based on the one or more updates in the mirror.

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 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: Provided is a system for automated medical decision-making. The system may include a first parser configured to parse text associated with medical information sources to obtain medical information and a second parser configured to parse patient data to obtain processed patient data. A processor, in communication with the first parser and the second parser, is configured to structure the medical information to form structured medical metadata in an intelligent medical database. Based on the structured medical metadata, the processor creates a causal network and receives the patient data from patient data sources. When the patient data is parsed by the second parser and the processed patient data is obtained, the processor maps the processed patient data against the causal network and generates the medical decision for the patient based on the mapping.