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.
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.
Systems and methods for processing changes to travel itineraries are provided. A system can comprise a database, a scheduler, and an optimizer. The database stores travel itineraries, traveler preferences, and itinerary change parameters. The scheduler exchanges information with travel supply networks and is operable to receive a travel itinerary, receive related travel itineraries, and optionally search the database for the related travel itineraries. The optimizer is operable to evaluate travel itinerary change tolerance parameters associated with the travel itinerary based on the traveler preferences, the itinerary change parameters, and the related travel itineraries; generate an optimized set of itinerary change tolerance parameters based on the evaluated itinerary change tolerance parameters and an optimization goal; and store the optimized set of itinerary change tolerance parameters for updating the travel itinerary.
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.
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. The processor receives the user preferences from a user device, ranks and weights the attribute values based on encoded preference information derived from the user preferences, associates values to the feasible travel itineraries, and transmits the feasible itineraries to the user device to present a multiattributed travel itinerary to visualize itinerary information associated with each of the travel attributes.
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.
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.
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
G06Q 10/02 - Reservations, e.g. for tickets, services or events
G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
8.
ARTIFICIALLY INTELLIGENT COMPUTING ENGINE FOR TRAVEL ITINERARY RESOLUTIONS
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.
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.
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.
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.
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.
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.
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
G06Q 10/02 - Reservations, e.g. for tickets, services or events
G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
14.
Translation of user requests into itinerary solutions
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.
A method and a system for evaluating a cost of insurance are provided. The method may commence with parsing a text from medical information sources to obtain statistical data associated with a population of patients. The method may further include structuring the statistical data to form structured medical metadata in an intelligent medical database. Based on the structured medical metadata, a causal network may be created. The method may continue with receiving health data associated with a patient from one or more patient data sources. The health data may be parsed to obtain processed patient health data. The method may further include mapping the processed patient health data against the causal network. Based on the mapping, a future health status associated with the patient may be predicted. The method may continue with evaluating the cost of the insurance associated with the patient based on the future health status.
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
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.
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.
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.
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 and scored based on the at least one weighted attribute and travel itineraries selected based on the scoring may be presented.
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.
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
G06Q 10/02 - Reservations, e.g. for tickets, services or events
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 and scored based on the at least one weighted attribute and travel itineraries selected based on the scoring may be presented.
A method for booking an itinerary using automatic consumption of loyalty reward points may commence with receiving loyalty point data associated with a customer. The loyalty point data may be associated with at least one loyalty program and loyalty reward points of the customer. The method may include receiving customer travel preferences and a request to schedule the itinerary using the loyalty reward points. Based on the loyalty point data, the at least one loyalty program may be accessed to determine an amount of the loyalty reward points and available loyalty reward offerings for the customer. The method may continue with searching for feasible itineraries for the customer based on the loyalty reward points, the available loyalty reward offerings, and the customer travel preferences. Upon selecting an itinerary from the feasible itineraries by the customer, the loyalty reward points may be consumed to book the selected itinerary.
A method and system for facilitating multi-passenger travel reservations are described. The method may commence with receiving a travel-related query associated with a plurality of passengers. The method may continue with ascertaining, based on the travel-related query, a plurality of attribute sets for each of the plurality of passengers. The method may further include parsing the travel-related query to derive attribute values related to the plurality of attribute sets. Upon parsing, at least one attribute of the plurality of attribute sets may be instantiated with the derived attribute values. The method may include searching, for each of the plurality of passengers, for feasible travel itineraries based on the least one attribute and user preferences and presenting at least one multi-passenger travel itinerary for each of the plurality of passengers.
A method and system for facilitating multi-passenger travel reservations are described. The method may commence with receiving a travel-related query associated with a plurality of passengers. The method may continue with ascertaining, based on the travel-related query, a plurality of attribute sets for each of the plurality of passengers. The method may further include parsing the travel-related query to derive attribute values related to the plurality of attribute sets. Upon parsing, at least one attribute of the plurality of attribute sets may be instantiated with the derived attribute values. The method may include searching, for each of the plurality of passengers, for feasible travel itineraries based on the least one attribute and user preferences and presenting at least one multi-passenger travel itinerary for each of the plurality of passengers.
39 - Transport, packaging, storage and travel services
42 - Scientific, technological and industrial services, research and design
43 - Food and drink services, temporary accommodation
Goods & Services
Operating on-line travel agency services, namely, making reservations and bookings for transportation and cruises. Software as service (SAAS) services featuring software in the field of on-line travel, namely, for searching, scheduling, booking and managing travel. Operating on-line travel agency services, namely, making reservations and bookings for temporary lodging and restaurants and meals.
39 - Transport, packaging, storage and travel services
42 - Scientific, technological and industrial services, research and design
43 - Food and drink services, temporary accommodation
Goods & Services
Operating on-line travel agency services, namely, making reservations and bookings for transportation and cruises Software as service (SAAS) services featuring software in the field of on-line travel, namely, for searching, scheduling, booking and managing travel Operating on-line travel agency services, namely, making reservations and bookings for temporary lodging and restaurants and meals
27.
Translation of user requests into itinerary solutions
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.
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.
G06F 18/2415 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
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.
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as service (SAAS) services featuring software in the field of on-line travel, namely searching scheduling, booking and managing travel, operating on-line travel agency services, namely searching, scheduling, booking and managing travel.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as service (SAAS) services featuring software in the field of on-line travel, namely searching scheduling, booking and managing travel, operating on-line travel agency services, namely searching, scheduling, booking and managing travel.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as service (SAAS) services featuring software in the field of on-line travel, namely searching scheduling, booking and managing travel, operating on-line travel agency services, namely searching, scheduling, booking and managing travel.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as service (SAAS) services featuring software in the field of on-line travel, namely searching scheduling, booking and managing travel, operating on-line travel agency services, namely searching, scheduling, booking and managing travel.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as service (SAAS) services featuring software in the field of on-line travel, namely searching scheduling, booking and managing travel, operating on-line travel agency services, namely searching, scheduling, booking and managing travel.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as service (SAAS) services featuring software in the field of on-line travel, namely searching scheduling, booking and managing travel, operating on-line travel agency services, namely searching, scheduling, booking and managing travel.
39 - Transport, packaging, storage and travel services
42 - Scientific, technological and industrial services, research and design
43 - Food and drink services, temporary accommodation
Goods & Services
Operating on-line travel agency services, namely, making reservations and bookings for transportation and cruises Software as service (SAAS) services featuring software in the field of on-line travel, namely, for searching, scheduling, booking and managing travel Operating on-line travel agency services, namely, making reservations and bookings for temporary lodging and restaurants and meals
39 - Transport, packaging, storage and travel services
42 - Scientific, technological and industrial services, research and design
43 - Food and drink services, temporary accommodation
Goods & Services
Operating on-line travel agency services, namely, making reservations and bookings for transportation and cruises Software as service (SAAS) services featuring software in the field of on-line travel, namely, for searching, scheduling, booking and managing travel Operating on-line travel agency services, namely, making reservations and bookings for temporary lodging and restaurants and meals
39 - Transport, packaging, storage and travel services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Online travel agency services, namely searching, scheduling, booking and managing travel. Software as a service (SAAS) services featuring software in the field of online travel, namely searching, scheduling, booking and managing travel.
40.
METHODS AND SYSTEMS FOR TRANSACTING TRAVEL-RELATED GOODS AND SERVICES
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.
41.
PROCESSING AND FULFILLING NATURAL LANGUAGE TRAVEL REQUESTS
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.
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.
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.
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.
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.
