KR20150116385A - Media input reservation system - Google Patents

Abstract

The present invention relates to methods, systems, and computer program products for determining at least one travel recommendation. The travel request that includes an origin and location data that indicates at least one location is received. The location data is analyzed to determine at least one traveling location corresponding to the at least one location indicated by the location data. The at least one travel recommendation is generated. The at least one travel recommendation comprises a travel route including the origin and the at least one traveling location, a determined number of days to stay at the at least one location, and bookable travel inventory items corresponding to the travel route and the determined number of days to stay at the at least one location.

Description

{MEDIA INPUT RESERVATION SYSTEM}

The present invention relates generally to computer and computer software, and more particularly to methods, systems, and computer program products for planning and scheduling travel.

Computer technology is increasingly being used to manage and support travel reservations and associated data in the travel industry. In particular, third-party reservation staff, such as travel agency employees and / or customers (e.g. travelers), often use computer-based devices to interface with travel reservation systems such as global distribution systems (GDS) And / or < / RTI > travel related services. When booking a travel-related service using a reservation terminal that communicates with such a travel reservation system, the travel agent and / or customer may initiate a reservation session between the client device and the travel reservation system and provide travel related services One or more travel inventory items corresponding to a specific location (e.g., a flight, a hotel, a railroad transport, a meal reservation, etc.).

As computer technology is increasingly used to manage and support travel reservations, improved computer-based travel planning and reservation systems and improved methods and computer program products for booking travel-related services are continuously required in the art .

Embodiments of the invention generally include methods, systems, and computer program products for generating one or more travel recommendations for travel requests. The travel request can be received in a reservation system, wherein the travel request includes travel destination data indicative of an origin and at least one location. The reservation system may analyze the travel destination data to determine at least one travel destination corresponding to at least one travel destination indicated in the travel destination data. At least one travel recommendation for the travel request may be generated. Wherein the travel recommendation includes a travel route comprising the departure location and the at least one travel destination, a number of days determined to stay in the at least one travel destination, and a number of days of stay in the at least one destination ≪ RTI ID = 0.0 > a < / RTI > bookable travel item corresponding to a determined number of days.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate several embodiments of the invention and, together with a general description of the invention given above and the detailed description of the embodiments given below, It serves to explain.
1 is a block diagram of one or more reservation systems, one or more merchandise systems, and one or more client devices in accordance with an embodiment of the present invention.
Figure 2 is a block diagram of the reservation system of Figure 1;
3 is a block diagram of the client device of Fig.
4 is a flow chart illustrating an operational sequence performed by the reservation system of FIG. 2 to generate a travel recommendation;
5 is a flow diagram illustrating an operational sequence performed by the client device of FIG. 3 to generate a travel request;
FIG. 6 is a flow chart illustrating an operational sequence that is performed by the reservation system of FIG. 2 to determine a travel item for a travel service for a travel recommendation;
7 is a schematic diagram of an exemplary graphical user interface that is output on a display of a client device and used in a client device to interface with a reservation system and provide user input data to generate travel requests.
8 is a block diagram illustrating a clustered travel destination in accordance with some embodiments of the present invention.
Figure 9 is a block diagram of some hardware and software components of the reservation system of Figure 2 and the type of data that can be received and / or entered.
10 is a schematic diagram of an exemplary graphical user interface that can be used in a client device outputting to a display of a client device and interfacing with a reservation system to review and / or book a travel recommendation.
Figure 11 is a schematic diagram of an exemplary graphical user interface that is used on a client device that is output to a display of a client device and interfaces with a reservation system to comment and / or select accommodation for a travel request destination.
Figures 12A-12C are schematic diagrams of exemplary graphical user interfaces that are output to a display of a client device and updated while interfacing with a reservation system to select destinations, comment on points of interest, and comment and select lodging options.
Figure 13 is a block diagram of some hardware and software components of the reservation system of Figure 2 and the associated data sources.

Embodiments of the present invention provide a system, method and computer program product for determining one or more travel recommendations for a travel request. According to some embodiments of the present invention, the reservation system may receive a travel request that includes travel destination data, and the destination data may represent a departure location and / or one or more destination destinations. The travel destination data can be determined from geographically tagged data, address data (e.g., contact address), text data, and / or calendar data. Generally, geographically tagged data corresponds to any type of data, and this data includes geographical information associated therewith from which travel can be determined. Geo-tagged data may include geo-tagged image data, geo-tagged video data, and / or other types of media data to which geo-information may be tagged. For example, a geographically tagged image may include data representing a geographical location associated with the image. The reservation system may process the travel request to determine one or more destinations indicated in the destination data.

Based on the determined travel destination, the reservation system can determine one or more candidate travel destinations. Generally, a travel destination generally corresponds to a destination (e.g., railway station, airport, ferries station, etc.) where travel services can be provided. In accordance with some embodiments of the present invention, the determined trips are grouped / classified into one or more clusters of one or more destinations based on their proximity, points of common interest, type of travel service provided, other travel characteristics, user preferences, And one or more candidate travel destinations can be determined for each geographic area. Based on the one or more travel characteristics, the travel location can be determined for one or more destinations of the travel request from the determined candidate location. In some embodiments, a travel destination may be determined for each travel cluster. For example, if a user enters a plurality of destinations in New York City, embodiments of the present invention may group these destinations into clusters (corresponding to New York City), and embodiments of the present invention may include You can decide John F. Kennedy International Airport as your travel destination.

In accordance with some embodiments of the invention, determining one or more clusters for one or more destinations may be based at least in part on user preferences, travel characteristics of travel, business rules, and / or limited system limitations. Similarly, determining one or more destinations for one or more clusters may be based at least in part on the travel characteristics of the destination and / or geographic area, user preferences, business rules, and / or limited system limitations. Typically, the travel characteristics include the geographic distance (i.e., proximity) between destinations, the geographic distance between candidate destinations, the geographic distance between the candidate destination and one or more popular points of interest, the candidate travel and one or more user- The type of travel service provided on the candidate travel destination, and the travel merchant providing the travel service on the candidate travel destination.

According to some embodiments of the present invention, the reservation system can determine the optimal travel route from the origin to each destination and the number of days to stay at each destination of the travel request. The number of days spent in the travel route / destination can be considered as an optimal travel route based on user-defined characteristics and / or business-defined characteristics. These user / business defined characteristics may include, for example, cost, amount of time spent on travel, gain / revenue, top rating based on user generated content (e.g., traveler's comment, . The optimal travel route and the number of days to stay can be output to the user with travel recommendation, the user can interface with the reservation system and adjust the number of days to stay in the travel route / travel destination, thereby providing additional travel recommendation Can be generated.

Further, the system may be configured to provide user preference, similar user preferences (e.g., user preferences determined from community feedback), business rules, reservation data / statistics accumulated by the reservation system (e.g., similar history reservation information) And / or dynamically adjust the number of days to stay in the route and / or in each geographic area based at least in part on the limited system limitations. The user may be presented with one or more travel recommendations to choose from, where each travel recommendation includes a travel route, a number of days to stay in each trip, and travel services associated with the travel route and the number of days to stay at each travel destination (e.g., Vehicle rental, rail travel ticket, accommodation, taxi service, meal reservation, etc.). Further, each travel recommendation may provide for simultaneous reservation of associated travel item items.

In general, a received travel request may indicate a departure location, one or more destinations associated with one or more destinations, a desired travel date, a traveler (i.e., user) preference, and / or other information that may be considered in planning and booking the travel service . Based on the origin, one or more destinations associated with one or more destinations, the desired travel dates and / or user preferences, embodiments of the present invention may include a travel route, a number of days to stay at each destination and a travel route and a number of days determined to stay at each destination One or more travel recommendations may be determined that each include a bookable travel item for the corresponding travel service (e.g., flight, vehicle rental, rail travel, etc.). In general, travel recommendations correspond to desired travel dates, include desired accommodations and / or services, and correspond to any indicated user preferences.

For example, a user (e.g., a traveler or a travel agent) may use the client device to interface with the reservation system and enter the origin and one or more destination destinations. The client device may interface with the reservation system via a web interface and / or a dedicated application interface. A user may enter data representing an origin and one or more destinations via an interface on the client device. The data entered by the user may include text data (typed, for example, in the input field of the interface), contact data, geo tagged data, calendar data, or any combination thereof. The user input data may be processed to determine one or more destinations that correspond to the origin and one or more destinations.

For example, a user may enter a geographically tagged image of the Statue of Liberty in New York City in an input field of the interface corresponding to the destination, a geographically tagged image of the Empire State Building in New York City , And a geographically tagged image of the White House in Washington, DC. Based on the geographic information contained in the geographically tagged image, embodiments of the present invention can determine the Statue of Liberty, the Empire State Building, and the White House as travel destinations. Based on the determined travel destinations, embodiments of the present invention may cluster the Statue of Liberty and Empire State Building attractions into a first geographic area and the White House into a second geographic area. Based on the geographical area, it is possible to determine, for each geographical area, whether a candidate travel destination - for example, John F. Kennedy International Airport in New York City, LaGuardia Airport in New York City, A Pennsylvania Station may be a candidate travel destination determined for the first geographic area; Also, Ronald Regan National Airport in Arlington County, Virginia and Union Station in Washington, D.C. may be candidate destinations determined for the second geographic area.

Continuing with the example, a geographically tagged image represents user-defined points of interest (i.e., the Statue of Liberty, the Empire State Building, and the White House). The system may also maintain and / or receive information about popular points of interest, where popular points of interest may include traveler-generated content such as traveler reviews, traveler ratings, expert referral system data, and / Media information, and the like. The travel characteristics of each candidate travel destination (e.g., the distance between each candidate travel destination, the type of travel service provided at each candidate travel, the travel merchant providing the service at each candidate travel, Based on the user preferences, business rules / preferences, and / or system limitations, the reservation system determines the travel destination for each geographic area based on the candidate travel destination .

For example, if user preferences indicate that a traveler prefers rail travel for less than eight hours of travel duration, the reservation system may identify or determine the Pennsylvania and Union stations as destinations. As another example, if the business rules of the reservation system favor a particular travel merchant and, depending on the travel characteristics of the candidate travel, certain travel traders provide travel services at Ronald Reagan Airport and John F. Kennedy International Airport, Ronald Reagan Airport and John F. Kennedy International Airport can be identified or determined as a travel destination.

Continuing with the example, if the user input data indicates a Chicago origin, the reservation system may use the determined travel destination to determine one or more travel routes starting in Chicago and traveling to the first geographic area and the second geographic area. Furthermore, the reservation system can determine the number of days to stay in each of the first and second geographic areas for each travel route. Based on the determined travel route and the number of days to stay at one or more destinations, the reservation system can determine the trip item for the travel service corresponding to each determined travel route and the number of days to stay at each destination, The number of days determined to stay and the determined trip item may be returned to the user at the client device as a travel recommendation.

Referring to this example, travel recommendations include flights from O'Hare International Airport in Chicago to Reagan National Airport, two-day hotel accommodation in Washington, DC near the White House, and John F. Reagan National Airport. Flight to Kennedy International Airport, Statue of Liberty and a two-day hotel stay in New York City near the Empire State Building, and John F. It can include flights from Kennedy International Airport to Chicago O'Hare International Airport. The user can simultaneously reserve a part or all of the trip item included in the travel recommendation.

Referring now to the drawings and specifically to Figure 1, this Figure 1 provides a block diagram illustrating one or more devices and / or systems in accordance with an embodiment of the present invention. As shown in FIG. 1, the reservation system 102 may be implemented as one or more servers. The reservation system 102 may be connected to the communication network 103 and the communication network 103 may be connected to the Internet, a local area network (LAN), a wide area network (WAN), a cellular voice / data network, Other types of communication networks may be included. The client device 104 is connected to the communication network 103 and a customer or a reservation employee (e.g., a travel agent or other travel booking service) initiates a travel planning and booking session with the reservation system 102 to request a travel request and / Other relevant data may be communicated to the reservation system 102. [ The client device 104 may be a personal computing device, a tablet computer, a thin client terminal, a smartphone, and / or other computing device.

One or more servers for one or more merchant systems 106 of one or more travel traders are connected to the communication network 103. The reservation system 102 may initiate a merchandise session via the merchandise system 106 and the communication network 103 where the merchandise item is bookmarked. In accordance with an embodiment of the present invention, a reservation employee or a customer (i.e., a traveler) may interface with the reservation system 102 using the client device 104 in the travel planning and booking session and provide travel request data. The reservation system then interfaces with each merchandise system 106 of each travel merchant that typically provides a travel merchandise item that requires availability determination (e.g., for flights, rail tickets, hotel rooms, event tickets, etc.) The availability of each trip item that requires availability determination for the booking request can be determined. Further, in accordance with some embodiments of the present invention, some merchandise systems 106 may be used to store merchandise that does not require availability determination, such as restaurant reservations, taxi services, non-restricted availability events / Can be managed. Further, although reservation system 102 and merchandise system 106 have been described herein as separate entities, the present invention is not so limited. In some embodiments, the various hardware, software components, and / or operational sequences described for reservation system 102 or merchandise system 106 may be implemented as either reservation system 102 and / or merchandise system 106 have. Further, as will be appreciated, in some embodiments, reservation system 102 and merchandise system 106 may be components of a Global Distribution System (GDS).

As described in more detail below, in accordance with an embodiment of the present invention, an interface is created by a reservation system whereby a user (i.e., a traveler or travel agent) receives one or more travel recommendations Information that can be used to generate a travel request that can be used to determine. In general, such an interface may be implemented via a client device 104, for example, a personal computer, a portable electronic device (e.g., smart phone, tablet, laptop, etc.), or a terminal configured to interface with a server providing such an interface Lt; / RTI > According to these embodiments, the user may enter a source, data indicative of a destination associated with one or more destinations, a desired travel date, and / or one or more user preferences. Some user input data may include text data, calendar data, address / contact data, geo tagged data, and / or other types of data that may determine geographic travel destinations. Based on the input information, a travel request can be generated, and one or more travel recommendations can be dynamically determined based on the content of the travel request.

FIG. 2 provides a block diagram illustrating the components of one or more servers of reservation system 102. FIG. The reservation system 102 includes at least one processor 122 including at least one hardware-based microprocessor and a memory 124 coupled to the at least one processor 122. [ The memory 124 may include a random access memory (RAM) device including the main storage medium of the reservation system 102 and any supplemental level of memory, e.g., cache memory, non-volatile or backup memory , Programmable memory or flash memory), read-only memory, and the like. Further, the memory 124 may be any memory storage medium physically located somewhere in the travel and reservation system 102, for example, any cache memory in the microprocessor, and any storage capacity used in the virtual memory, For example, it may be considered to include any storage capacity that is stored on a mass storage device or stored on another computer connected to the reservation system 102.

To interface with a user or operator, the reservation system 102 may include a user interface 126 including one or more user input / output devices, e.g., a keyboard, pointing device, display, printer, Alternatively, the data may be communicated to other computers or terminals (e.g., client device 104, merchandise system 106, etc.) via network interface 128 connected to communication network 103. The reservation system 102 may also communicate with one or more mass storage devices, which may be, for example, an internal hard disk storage device, an external hard disk storage device, an external database, a storage area network device,

The reservation system 102 is typically operated under the control of the operating system 130 and may be operated by a reservation module 132, a trip planning module 134, a routing engine 136 and / Components, programs, objects, modules, engines, data structures, and the like, including engine 138. [ In general, reservation module 132 may be configured to interface with one or more travel merchant systems (e.g., merchandise system 106) and to reserve travel item items for travel services based on the received data.

Trip planning module 134 may be configured to analyze the received travel request and determine one or more travel recommendations for the travel request. The routing engine 136 may be configured to receive one or more destinations associated with the travel request and the travel dates indicated in the travel request. The routing engine 136 may calculate one or more travel routes that start at the origin destination and pass through each destination determined for the destination. Routing engine 136 may determine an optimal travel route based at least in part on bookkeeping statistics, expert referral system input, user preferences and / or travel characteristics associated with the trip. In general, the bookkeeping statistics may be maintained by the reservation system 102 for travel services previously booked through the reservation system 102. For example, Further, the expert recommendation system input is typically received by the reservation system 102, which returns the recommended routing between destinations based on user generated feedback content, e.g., trip commentary, trip comment, social network data, And / or can be maintained by the reservation system. Further, travel characteristics may include, but are not limited to proximity (e.g., geographical distance), type of travel service provided, and the like.

The accommodation engine 138 may be configured to determine the number of days to stay at each destination determined from the trip indicated in the trip request. In general, the accommodation engine 138 may determine the number of days to stay at the destination based, at least in part, on expert recommendation system data, calendar data, bookkeeping statistics, and / or user preferences. As discussed above, expert recommendations system data generally refers to data that may be received and / or maintained based on user generated feedback content, e.g., comments, social network data, social network statistics, and the like. Calendar data refers to data that can be maintained or received, typically representing a real-time event on a desired travel date globally and / or at a travel destination. Further, the reservation system 102 may maintain statistical data (i.e., bookkeeping statistics) based on the travel services previously booked in the reservation system 102.

The memory 124 of the travel and reservation system 102 may generally store one or more databases including, for example, a bookkeeping statistics database 140, a user profile database 142 and a travel destination index 144. The databases 140 and 142 may include data and support data structures for storing and organizing data. In particular, databases 140 and 142 may be arranged in any database organization and / or structure, including but not limited to relational databases, hierarchical databases, network databases, and / or combinations thereof. May use the database management system in the form of a computer software application executed as an instruction in the processing unit of the reservation system 102 to access the information or data stored in the records of the databases 140 and 142 in response to the query, May be dynamically determined and executed by the operating system 130, other applications, and / or one or more modules and / or engines 132-138.

In general, the bookkeeping statistics database 140 may store data derived from a travel service previously booked in the reservation system 102. For example, the bookkeeping statistics database may include data associated with the traveled goods item of the travel service, customer information (e.g., including demographic data), transaction information, travel destinations associated with the booked travel item, And / or the number of days to stay at one or more destinations for other types of data or travel requests that can be analyzed by the routing engine 136 and / or the accommodation engine 138 when determining the optimal route for a travel request. Can be stored.

The user profile database 142 may store one or more user profiles, where each user profile may correspond to a travel customer (i.e., traveler / user) of the reservation system. Generally, each user profile may correspond to a travel customer who created an account that stores information associated with the travel customer. The user profile may store contact information (e.g., email address, mobile phone number, etc.) for the travel customer, payment information for the travel customer, information contained in the passenger name record, traveler's preference and / or other information . For example, a user profile may indicate that a customer prefers a hotel of a particular type or chain, a particular airline, a particular rental car company, and the like. In some embodiments of the invention, the travel request may include information identifying a particular user profile. In these embodiments, trip planning module 134, routing engine 136 and / or lodging engine 138 may access the user profile database 142 to determine whether one or more determined travel recommendations are based at least in part on a user ' .

The travel destination index 144 may store the travel destination and the geographic information / travel characteristics associated with the travel destination. For example, the travel destination index 144 may store travel destination information for each airport in a geographical area such as a city, a country, and the like. In accordance with an embodiment of the present invention, the trip plan module 134 may search the travel destination index 144 based on the travel destination received in the travel request to determine one or more candidate travel destinations for the travel request.

Further, various applications, components, programs, objects, modules, engines, and the like may also be used for distributed or client-server computing, which may allocate processes required to implement the functions of a computer program, May be executed in one or more processors in another computer connected to the reservation system 102 via the communications network 103 in the environment. For example, some of the functions described herein as being included in the modules of reservation system 102 and / or reservation system 102 may be implemented in one or more servers. In accordance with an embodiment of the present invention, modules and / or engines 132-138 and / or other modules, applications and / or engines may be executed on one or more servers of reservation system 102, 132-138 may enable processor 122 of reservation system 102 to perform operations in accordance with embodiments of the present invention.

Figure 3 provides a block diagram illustrating components of a client device 104 in accordance with an embodiment of the invention. The client device 104 includes at least one processor 160 that includes at least one hardware-based microprocessor and a memory 162 that is coupled to the at least one processor 160. The memory 162 may include a random access memory (RAM) device including the main storage medium of the client device 104 and any supplemental level of memory, e.g., cache memory, non-volatile or backup memory , Programmable or flash memory), read-only memory, and the like. Further, the memory 162 may be any memory storage medium, such as any cache memory in the microprocessor, physically located somewhere in the client device 104, and any storage capacity used in the virtual memory, for example, May be considered to include any storage capacity stored in a mass storage device or stored in another computer connected to the client device 104. [ 2, client device 104 may include a user interface 164 for interfacing with a user or operator (e.g., a travel agent), and a user interface 164 for communicating via communication network 103. [ And a network interface 166 for communicating with the network.

The client device 104 typically operates under the control of an operating system and / or application and executes various computer software applications, components, programs, objects, modules, data structures, etc., including, for example, Or depend on. The reservation application 168 is executed by the processor 160 of the client device 104 to interface with an operator (e.g., a travel agent) via the user interface 164 and to input data for generating a travel request . The reservation application 168 may communicate the input data of the travel request to the reservation system 102 to determine one or more travel recommendations and subsequently be returned to the client device 104. [ Thus, in general, the reservation application 168 is executed on the client device 104 to allow a user (e.g., a traveler or travel agent) to interface with the reservation system 102 and provide information about travel requests, Comments the trip recommendation determined by the travel recommendation 102, and creates a front end that allows to book the trip item of the selected travel recommendation. In some embodiments, the reservation application 168 may include an Internet browser, which may be pointed to an Internet address associated with the web interface of the reservation system 102 displayed on the user's browser. In some embodiments, the reservation application 168 is configured to create an interface (e.g., a graphical user interface) to the client device 104 that is configured to communicate data between the reservation system 102 and the client device 104 .

FIG. 4 provides a flowchart 200 illustrating an operational sequence performed by reservation system 102 in accordance with an embodiment of the present invention to determine one or more travel recommendations for a travel request. The travel recommendation typically includes at least one bookable travel item for the travel service that performs the travel request. Further, the travel recommendation can be considered to include dynamically-determined travel paths and dynamically-determined days to stay at each trip of the travel request.

The reservation system 102 may receive the travel request 104 from the client device 104 (block 202), where the travel request may include a desired travel date (e.g., departure date and return date, trip duration, etc.) , A departure location, and one or more destinations corresponding to one or more destinations. According to some embodiments of the invention, the travel request includes one or more destinations determined from the travel destination data and input text data for the origin, address data (e.g., contact data), calendar data, and / or geo tagged data . Further, in some embodiments, the travel destination data corresponding to the one or more departure locations may represent one or more user-defined point of interest (POIs) (e.g., contact addresses provided as user input when generating travel requests). The reservation system 102 may classify and / or group the indicated destinations into one or more clusters (block 204). In general, the reservation system 102 may be configured to determine the travel characteristics (e.g., proximity, distance to point of interest, whether the destinations are in the same country, the type of traffic provided between destinations), business rules and / Based on at least in part the location of the trip.

The reservation system 102 may determine one or more destinations associated with the traveled destinations indicated in the travel request (block 206). Generally, a travel destination corresponds to a destination (for example, an airport, a railroad station, a bus stop, etc.) to which travel services are provided. In accordance with an embodiment of the present invention, reservation system 102 may maintain a travel destination index 144 that may store information about a plurality of destinations. The reservation system 102 may access the travel destination index to determine a candidate travel destination for the travel request as described herein. For example, the travel destination index 144 may store information about airports, railway stations, bus stops, and the like. The type of information stored by the travel destination index 144 may include, for example, a geographic travel destination, a type of travel service provided on the travel destination, a travel trader providing the travel service at the destination, and / And / or travel characteristics that may be relevant when doing so. Based on travel characteristics, business rules, system limitations, and / or user preferences, the reservation system can identify or determine one or more destinations for travel requests from candidate destinations. Thus, in some embodiments, the reservation system 102 may determine trips from the travel request, determine one or more travel clusters, determine one or more candidate destinations for each cluster, and determine from each of the clusters You can decide a specific destination for your trip.

The determination of the travel destination for the travel request may be based at least in part on the system limitations associated with the travel request. For example, the reservation system 102 may limit the travel destination determined for the travel request to a specific country, geographic area, and the like. In some embodiments, the destination is determined based at least in part on the geographic area determined by clustering the travel destinations of the travel request, so that the destination can be determined for each geographic area.

Further, when determining the travel destination, the reservation system can determine the travel destination based at least in part on the user preference. For example, if the user profile indicates that the user (i. E., Traveler) prefers rail travel, embodiments of the present invention may select a train station as a travel destination instead of a candidate travel destination corresponding to the airport. In some embodiments of the invention, 'N' may correspond to the number of trips determined from trip requests associated with the destination, 'M' may correspond to the number of clusters determined by classifying / grouping travel destinations, &Quot; O " can correspond to the determined number of trip destinations, and the reservation system 102 can determine clusters of travel destinations and destinations so that O < M <

A travel destination may be determined based at least in part on one or more business rules. For example, if reservation system 102 is associated with one or more travel traders, or if one or more travel traders are preferred (possibly due to favorable business arrangements), then embodiments of the present invention may allow the associated travel merchant The travel destination can be determined from a plurality of candidate travel destinations based on whether or not the travel service is provided. Similarly, the business rules of reservation system 102 may indicate a preference for travel type (e.g., preferring rail travel rather than air travel).

Based on the determined travel destination and the travel date range (i.e., the desired travel date) indicated in the travel request, the reservation system 102 may determine one or more travel routes that begin at the origin and pass through each destination (block 208). In general, the routing engine 136 of the reservation system 102 may determine one or more travel routes. In accordance with some embodiments of the present invention, reservation system 102 may determine an optimal travel route. In general, the reservation system 102 may be configured to receive data provided by an expert recommendation system, data based on at least partly the bookings and / or reservation statistics and / or travel characteristics derived from the travel services previously booked in the reservation system 102, The above-mentioned travel route can be determined.

The expert recommendation system may be included in the reservation system 102 and / or may be provided to the reservation system 102 by a third party data source. In general, the reservation system 102 may receive data corresponding to a departure location and one or more destinations that represent a recommended travel destination pairing (e.g., a determined best route between two travel destinations), where These recommended travel destination pairs may include data analysis values (e.g., traveler comments, traveler ratings, etc.) associated with traveler feedback data, analysis of travel services provided between destinations, data collected from travel traders, and / Or other types of analysis data that may be used to determine routing. For example, if many travelers comment on a travel service provided between a first travel destination and a second travel destination with a poorly rate, the embodiment of the present invention avoids routing from the first destination directly to the second destination Can be determined. In this example, the routing engine 136 of the reservation system 102 may determine an indirect trip route that includes traveling from the first destination to the intermediate third destination and traveling from the third destination to the second destination .

The reservation system 102 may analyze the bookkeeping / reservation statistics to determine common routing between destinations associated with travel requests, low cost routing between destinations, and / or routing specifications commonly provided for travel services. For example, the bookkeeping / reservation statistics may indicate an average fare (fare) for travel services between destinations, and in some embodiments of the present invention, the routing engine may determine At least a portion can be determined. In general, the travel characteristics of a travel destination include the distance (e.g., proximity) between different destinations, the distance to the point of interest, the type of travel service provided to each destination, the travel merchant providing services to each destination, can do. For example, if two destinations are within a given distance from each other (i. E., Close proximity relative to other destinations), then the routing engine 136 may determine the route of travel Can be determined. Similarly, when low cost travel services are provided between two travel destinations, the routing engine 136 can determine the travel route including routing between the two destinations to realize the benefits of low cost travel services.

Based on the determined travel route and travel date range indicated in the travel request, the reservation system may determine the number of days to stay at each destination (block 210). In accordance with an embodiment of the present invention, the accommodation engine 138 of the reservation system 102 is configured to stay at each trip based at least in part on data provided by the expert recommendation system, calendar data, bookkeeping / reservation statistics, and / or user preferences You can decide how many days to work. As described above, the expert recommendation system may determine the recommendation based at least in part on the feedback data (e.g., traveler's comment, traveler's rating, etc.). In a situation where the number of days to stay in each trip is determined, the accommodation engine 138 may determine the number of days to stay in each trip based on the recommendation provided by the expert recommendation system. For example, if the traveler's comment for a particular destination is very positive for the other destination indicated in the travel request, the accommodation engine 138 may determine a higher number of days to stay at a particular destination. Similarly, if a particular destination includes a very high degree of interest (e.g., attraction, event, etc.), the accommodation engine 138 may determine a higher number of days to stay at a particular destination.

Calendar data refers to data representative of global news and planned events, typically including data associated with a travel destination indicated in a travel request. Thus, the accommodation engine 138 may determine the number of days to stay in a trip based on a planned event that may be of interest to the traveler. Furthermore, the accommodation engine 138 may determine the number of days to stay at a particular destination based on interesting events that occur at other destinations of the travel request. Further, the accommodation engine 138 may determine the number of days to stay at a particular destination to avoid some events that may not be of interest to the traveler but may increase the cost of the travel service. For example, if the calendar data indicates that a large conference occurs at a particular destination on two specified dates, the accommodation engine determines the number of days to stay in a particular destination so that a traveler who does not attend a large meeting will be identified You can keep it from being in a travel destination. In general, calendar data may be maintained by reservation system 102 and / or received from a third party data source.

As described above, the booking / reservation data may be maintained by reservation system 102 for previously-booked travel services. According to some embodiments of the present invention, the accommodation engine 138 may determine the number of days to stay at each trip based at least in part on the bookkeeping / reservation data. For example, you can analyze the statistics based on the bookings / reservation data to determine the number of days to stay in each trip. For example, the number of days to stay in each travel destination can be determined based at least in part on the average price for lodging in each destination. Similarly, the number of days to stay in each trip can be determined based at least in part on the average number of days that other travelers have stayed in each trip.

Further, the number of days to stay at each travel destination can be determined based at least in part on the user preference of the customer (i. E., Traveler) associated with the travel request. In some embodiments, the traveler's preferences may be stored in the user profile database 142 and the accommodation engine 138 may take this preference into consideration when determining the number of days to stay in each trip. For example, the user profile may indicate preferred travel type, preferred travel trader, and the like. Furthermore, the user profile can represent general information about the traveler that can be used to determine the preferences associated with the traveler. For example, if the traveler is within a certain age group, the accommodation engine can determine the number of days to stay at each trip based on points of interest within the trips that are generally of interest to travelers of a particular age range. Similarly, if the user profile indicates a type (e.g., business, leisure, family trip, etc.) associated with the traveler, the accommodation engine 138 may determine the number of days to stay in each trip based on the type associated with the traveler . For example, business travelers are less likely to prefer staying at upcoming popular event destinations than leisure travelers.

Although the reservation system 102 may maintain a user profile database 142 associated with some travelers, in some embodiments of the present invention, the reservation system 102 may include a third party information source (e.g., A social network, an employment database, etc.). In such an embodiment, the reservation system 102 may be configured to allow the user to enter information (e.g., a user name, a password, an employee identification number, a user profile resource travel identifier, etc.) in the interface with the client device 104 that is linked to the reservation system 102 ) May be provided to enable the reservation system to access the third party information source. Thus, in accordance with some embodiments of the present invention, user preferences may be assigned to a user profile associated with a user (i.e., a customer / traveler) maintained by reservation system 102. In some embodiments, user preferences may be determined by the reservation system based on information associated with a user received from a third party data source.

Based on one or more travel routes and the number of days to stay at each travel destination, the reservation system may determine the travel route and the travel service associated with the stay (block 212). In general, travel services can refer to flights, rail travel, vehicle rental, hotel accommodation, bus travel, and the like. Trip items may generally refer to merchandise-managed items that may be booked and / or booked for such travel services. For example, a travel item for a flight is a flight ticket that reserves a seat for a traveler. Thus, in a situation where one or more travel routes and a travel service for one or more nights are to be determined, the reservation system 102 determines the travel route and the travel service corresponding to the number of days to stay at each travel destination. Based on the determined travel service, the reservation system 102 creates one or more travel recommendations (block 214), where each travel recommendation includes a travel goods item for the determined travel service that can be bookmarked for the travel request. The one or more determined travel recommendations may be output to the client device 104 for comment by the user. The user can book a trip service necessary for carrying out a travel request by simultaneously storing a part or all of the trip item of travel recommendation.

Referring now to FIG. 5, this FIG. 5 provides a flowchart 250 illustrating an operational sequence performed by a client device 104 in accordance with an embodiment of the present invention to generate a travel request. As described, the client device 104 may interface with the reservation system 102 via a web-based interface or via a dedicated application interface using the Internet browser indicated by the interface provided by the reservation system 102 . The client device 104 may initiate an interface (block 252) and interface with the reservation system 102. User input data may be received at the interface (block 254), and such user input data may include one or more types of data. For example, the user input data may include text data input into one or more of the provided fields of the interface. The user input data may further include geo-tagged data including, for example, geo tagged images, geo-tagged multimedia data, and the like. Further, the user input data may include contact data (e.g., contact data received from a smartphone or other computing device, contact data loaded from a personal computing device, etc.). Further, the user input data may include calendar data (e.g., calendar data received from a smartphone or other computing device).

The client device 104 may analyze the user input data to determine one or more destinations indicated in the user input data (block 256). For example, geographically tagged data can include geographic information in the form of geographic coordinates, and client devices can determine destinations (e.g., city and country) from geographic coordinates. Similarly, the contact data may include an address to contact (e.g., street address, city, country, etc.) and the client device may determine the travel destination for use with reservation system 102 from the address. Based on the determined travel destination, the client device 104 that interfaces with the reservation system 102 can generate a travel request (block 258), which can then be communicated to the reservation system 102.

Figure 6 provides a flowchart 300 illustrating an operational sequence that can be performed by reservation system 102 to determine a travel service for a travel recommendation in response to receiving a travel request from a client device 104. [ As described above, the reservation system may determine one or more trips, the number of days to stay at each trip, the trip indicated in the trip request, and one or more trips determined for the trip request (block 302). The reservation system may determine a door-to-door schedule (block 304) that includes each trip in the travel request, where the door-to-door schedule is generally determined based on each trip ≪ / RTI > and the total number of days. In general, travel on a door-to-door schedule can use travel destinations determined for travel requests. The reservation system may determine one or more points of interest for each trip in the travel request based on the door-to-door schedule (block 306). The point of interest is typically a point of interest (for example, a museum, an entertainment attraction, a historical / important site, an event area, etc.) and / A contact address). Further, when determining the points of interest for each trip, the reservation system 102 may determine points of interest based on popularity with other travelers (e.g., based on traveler comments, traveler ratings, etc.). Based on the determined point of interest, the reservation system may identify a hotel or other accommodation option that is proximate to each point of interest, and such identified hotel / lodging option may be considered a candidate accommodation (block 308).

The determined point of interest is communicated to the client device 104 so that the user can select one or more point of interest via the interface (block 310) and the reservation system 102 can receive the point of interest selected from the client device 104 (Block 312). Based on the selected point of interest received from the client device 104, the reservation system 102 may determine one or more travel item items for the travel service (block 314). In general, the selected point of interest may be used by the reservation system 102 to determine a lodging option presented to the user for booking. Based on the selected point of interest, nearby hotel accommodations may be determined for travel recommendations. Further, in some embodiments, a note of interest may be generated including information such as address, time of operation, applicable fees, etc. for each selected point of interest (block 316). The note at the point of interest may be communicated to the client device 104 to allow the traveler to access information about one or more of the points of interest selected.

7 is a flow diagram illustrating the creation of a travel request by the reservation system 102 and accessible by the client device 104 and by a user (e.g., traveler, travel agent, etc.) As shown in FIG. The client device 104 may access the graphical user interface 400 via the communication network 103 by navigating to the Internet address where the reservation server 102 provides the graphical user interface 400. [ As another example, the graphical user interface 400 may be a dedicated interface between the reservation system 102 and the client device 104 provided by a special purpose application that may be executed on the client device 104. As shown, through the graphical user interface 400, the user can, for example, by dragging and dropping geo-tagged data and / or other types of data into the interactive input field 402 Data (i.e., user input data) can be input. Various types of data may include geo tagged images, geo tagged videos, calendar data, text data, contact data, and the like.

Based on the user input data, the interface may update one or more destination fields (404, 406, 408, 410) to a destination determined from the user input data. The user can select a travel destination to be used for the travel request by selecting each travel destination field 404-410 displaying the desired destination. Further, the graphical user interface 400 may include a start input field 412 through which a user can input data indicating a start destination. For example, a user may enter GPS data from a smartphone configured to have a global positioning system (GPS) capability. As another example, a user may enter travel destination data from an Internet browser that determines a travel destination based, at least in part, on a public Internet protocol (IP) address associated with the client device 104. [ Further, the user can input the starting place of travel by inputting the text data into the starting point input field 412. [ The graphical user interface 400 may further include a date input field 414 so that the user can indicate a desired travel date (e.g., departure date and return date). In some embodiments, the desired travel dates may be provided by the calendar data entered by the user, where the data is analyzed by the client device 104 executing the reservation application 168 to determine the desired travel date .

FIG. 8 provides a block diagram illustrating an example of a travel destination 450 clustered into a geographic region 452. FIG. Clustering travel destinations 450, as described above, may be based, at least in part, on the travel characteristics of each travel destination 450, such as the geographic distance between destinations 450.

Figure 9 provides a block diagram 500 illustrating the determination of user preferences in accordance with an embodiment of the present invention. As shown, user preferences 502 are based on at least partly the generic profile 504, the stereotypic profile 506, and / or the user profile 508 (stored in the user profile database 142) Planning module 134 where applying data from one or more of the profiles 504-508 is based at least in part on the information contained in the travel request 509. [ Generally, generic profile 504 may be used to determine user preferences 502 when guest 510 submits travel request 509. Generic profile 504 may include preference data determined based at least in part on the bookkeeping / reservation statistics maintained by reservation system 102. Furthermore, the generic profile 504 may include preference data determined based at least in part on expert recommendation system data, where such data includes recommendations based at least in part on user generated content such as traveler comment, traveler ratings, etc. can do.

The flare profile 506 may include preference data that may be used to determine the user's preference based on the user's demographic and / or profile information received from the third party profile source 512. [ Third party profile source 512 may correspond to a social network website, employee database, and / or other data sources from which demographic and / or preference data for the user may be derived. The alumni profile 506 may be developed and maintained based at least in part on the bookkeeping statistics and / or data received from a third party source, such as an expert recommendation system. Thus, the trip plan module 134 can use data from the alumni profile 506 when the user submits information to a travel request (e.g., a user name, password, unique identifier, etc.) May access the third party profile source to determine the user preferences 502. [ The user profile 508 generally corresponds to a registered user 514 where the user profile 508 can be maintained by the reservation system 102. [ Data from one or more of the profiles 504-508 may be used to determine user preferences 502 based at least in part on the information provided in the travel request 509 as shown.

10 illustrates an exemplary graphical user interface (GUI) that can be generated by reservation system 102 and accessed by client device 104 to comment travel recommendations for a user (e.g., traveler, travel agent, etc.) 550). Furthermore, the user may interface with the reservation system 102 via the graphical user interface 550 to change travel recommendations. As shown in this example, the graphical user interface shows a travel map recommendation 552 to a dash line for travel and accommodation graphics for a destination. In this example, the travel recommendation is the origin of Zurich (denoted as " O "); Paris' first destination where travelers can stay for 5 days; A second destination in Bordeaux where travelers can stay for two days; A third destination in Nice where travelers can stay for three days; And a fourth destination in Lyon where the traveler can stay for two days before returning to the origin. The user can interface with the graphical user interface 552 and adjust the number of days to stay in each trip and / or adjust the travel path. In response to each user input changing the travel recommendation, the reservation system can determine the relevant travel service and determine the price of the related travel item. When the user approves the travel recommendation, the user can simultaneously book some or all of the related travel item items through the reservation system 102. [ Thus, as shown in accordance with some embodiments of the present invention, reservation system 102 generates a graphical user interface that shows the travel recommendations determined for user comment.

Figure 11 is an example that can be generated by reservation system 102 and accessed by client device 104 to comment on points and lodging options that a user (e.g., traveler, travel agent, etc.) is interested in for each travel destination A graphical user interface 600 is provided. As shown, the reservation system 102 outputs a map graphic 602 indicating the travel request destination and accommodation information (that is, days to stay in each travel destination) to the map graphic 602 through the graphic user interface 600 . Further, the graphical user interface 600 may include points of interest in each trip and indications of available accommodations near each point of interest. At each destination, the user can select a point of interest via the graphical user interface 600, and the graphical user interface can be updated to display accommodation options that are close to the point of interest.

Figures 12A-12C illustrate example graphics that may be created and updated by the reservation system 102 and accessed by the client device 104 to allow the user to comment on points of interest for travel and to select accommodation options near the point of interest desired. Wherein the reservation system 102 may update the graphical user interface 650 in response to a user input at the client device 104. [ As shown in FIG. 12A, the graphical user interface 650 may provide a travel schedule that includes travel item items for travel services from Rome to Venice and from Venice back to Rome (and thus Venice is the destination). The user may comment on points of interest and / or accommodation options for Venice by selecting an interactive field for the destination (Venice in this example) The graphical user interface 650 may be updated in response to the user selecting an interactive field for the destination 652 in Figure 12A to output an image of one or more points of interest 654 as shown in Figure 12B have. The user may select an image of the point of interest in the graphical user interface 650 and in response to this selection the graphical user interface 652 may display detailed information 656 for the selected image and / Can be updated. From the detailed information display 656, the user can select to view accommodation options that are close to the selected point of interest, and in response to this selection, the graphical user interface 650 will display, And may be updated to display the accommodation option 658 graphically.

Figure 13 provides a block diagram illustrating a bookkeeper transaction for travel recommendations determined in accordance with an embodiment of the invention. As shown, the reservation module 132 may receive the trip item 700 of travel recommendation to book. Reservation module 132 generates a passenger name record (i.e., PNR) 702 that includes the booked trip item and traveler information. The one or more data sources 704 described herein may include, for example, a PNR 702 that includes an expert system 706 (e.g., an expert recommendation system), a bookkeeping statistics database 140, and / Based on at least in part, the user profile 508 associated with < / RTI > Further, the data source 704 may be updated according to any user preferences 708 that may have been indicated in the travel request.

In general, routines executed to implement embodiments of the present invention, whether implemented as an operating system or a particular application, component, program, object, module, or portion of a command sequence, or even a subset, Quot; computer program code "or simply" program code ". The program code typically includes one or more instructions resident in various memory and storage devices in a computer, and the instructions, when read and executed by one or more processors in the computer, cause the computer to perform various aspects of the invention Perform the steps necessary to implement the step or element to implement. Moreover, while the present invention has been described in the context of fully functional computer and computer systems, those of ordinary skill in the art will recognize that many embodiments of the present invention may be distributed in various types of program products, It will be appreciated that the invention is equally applicable regardless of the particular type of computer readable medium used to carry out the invention.

Program codes embodied in any of the applications / modules described herein may be distributed individually or collectively to a number of different types of program products. In particular, the program code may be distributed using a computer-readable medium and a communication medium, which may include a computer-readable storage medium. A computer-readable storage medium, which is essentially non-volatile, includes volatile and nonvolatile, nonvolatile, nonvolatile, nonvolatile, nonvolatile, nonvolatile, nonvolatile, And removable and non-removable tangible media. The computer readable storage medium may be any of a variety of storage devices including but not limited to RAM, ROM, erasable programmable read only memory (EPROM), electrically erasable programmable read only memory (EEPROM), flash memory or other solid state memory technology, CD-ROM), or other optical storage media, magnetic cassettes, magnetic tape, magnetic disk storage media or other magnetic storage devices, or any other medium that can be read by a computer and used to store the desired information can do. The communication medium may embody computer readable instructions, data structures, or other program modules. By way of example, and not limitation, communication media may include wired media, e.g., wired networks or direct-wired connections, and wireless media such as acoustic, RF, infrared and other wireless media. Any combination of the above may also be included within the scope of computer readable media.

Computer program instructions that may be stored on a computer-readable medium, such as a computer, a processor, or other type of programmable data processing apparatus or other device capable of functioning in a particular manner may be stored on a computer readable medium, Or < / RTI > instructions that implement the function / action specified in the blocks.

The computer program instructions may be loaded into a computer, other programmable data processing apparatus, or other device to cause a computer to execute a sequence of operations that may be performed on the computer, another processing device, A computer-implemented process that provides one or more processes that implement the functions / operations specified in the blocks or blocks.

The terminology used herein is for the purpose of illustrating particular embodiments and is not intended to limit the invention to these embodiments at all. As used herein, the singular terms "work" and "above " are intended to include the plural forms unless the context clearly dictates otherwise. As used herein, the term "comprising" and / or "having" means that there is a stated feature, integer, step, operation, element and / , Steps, operations, elements, components, and / or groups are not intended to be < / RTI > Further, when the terms "comprising", "having", "having", "having", "consisting", or variations thereof are used in either the detailed description or the claims, It is to be understood that the same is intended in a broad sense.

While the present invention has been illustrated and described in considerable detail, it is not intended that the applicant intend to limit or limit the appended claims to such detail. Additional advantages and modifications will readily occur to those of ordinary skill in the art. Thus, in a broader aspect, the invention is not limited to the specific details, representative apparatus and method, and illustrative examples shown or described. Accordingly, these details may be deviated from the details of the inventor's general inventive concept without departing from the spirit and scope thereof.

Claims (20)

CLAIMS 1. A method for generating at least one travel recommendation,
In the reservation system, receiving a travel request including travel destination data indicative of a departure location and at least one travel destination;
Analyzing travel destination data in at least one processor of the reservation system to determine at least one travel destination corresponding to at least one travel destination indicated in the travel destination data; And
At least one processor of a reservation system, comprising: a travel path including a departure location and at least one travel destination; a number of days and a travel route determined to stay in at least one travel destination; and a bookable travel destination corresponding to a number of days determined to stay in at least one travel destination Creating at least one travel recommendation that includes the item. The method according to claim 1,
Wherein the travel destination indicated in the travel destination data is determined from geo tagged data, text data, calendar data, contact data, or any combination thereof. 2. The method of claim 1, wherein generating the at least one travel recommendation comprises:
Determining a travel route that includes the origin and at least one travel destination based at least in part on the travel characteristics of the at least one travel destination. The method of claim 3,
Wherein the travel characteristics of the at least one travel destination include geographic distance to at least one other travel destination, geographic distance to at least one point of interest associated with the at least one destination, travel services provided at at least one destination, A traveling trader providing a service in the home, or any combination thereof. The method of claim 3,
Wherein the step of determining a travel route comprising a departure location and at least one travel destination is based at least in part on at least one user preference associated with a traveler of the travel request. The method of claim 3,
Wherein the step of determining a travel route comprising a departure location and at least one travel destination is based at least in part on at least one business rule associated with the reservation system. The method according to claim 1,
Wherein analyzing the travel destination data to determine at least one travel destination corresponding to the at least one travel destination indicated in the travel destination data comprises:
Determining a plurality of candidate travel destinations corresponding to at least one travel destination; And
Determining a location to travel for at least one travel destination from a plurality of candidate destinations based at least in part on the travel characteristics of the plurality of candidate travel destinations. 8. The method of claim 7,
The travel characteristics of the plurality of candidate travel destinations may include geographic distance to at least one other travel destination, geographic distance to at least one point of interest associated with the at least one destination, travel services provided at at least one destination, ≪ / RTI > or any combination thereof. ≪ RTI ID = 0.0 > The method according to claim 1,
Wherein the at least one travel destination includes a plurality of destinations and analyzing the travel destination data to determine at least one destination corresponding to the at least one destination indicated in the destination data,
Determining a plurality of candidate travel destinations corresponding to a plurality of destinations; And
And determining a plurality of travel destinations for a plurality of destinations from a plurality of candidate destinations based at least in part on the travel characteristics of the plurality of candidate travel destinations. The method according to claim 9, wherein the step of determining a plurality of candidate travel destinations corresponding to the plurality of destinations includes:
Classifying a plurality of destinations into a plurality of cluster travel destinations based at least in part on travel characteristics of the plurality of destinations; And
Determining at least one candidate travel destination of a plurality of destinations for each cluster travel destination,
Wherein each travel destination is determined for each cluster of travel destinations from at least one candidate travel destination for the cluster of travel destinations. 11. The method of claim 10,
Wherein the plurality of clusters do not exceed a plurality of destinations, and the plurality of destinations do not exceed the plurality of clusters. The method according to claim 1,
The bookable travel goods item of the travel recommendation includes items of travel goods for flight, items of travel goods for hotel accommodation, items of travel goods for ground travel service, items of travel goods for sea travel service or any combination thereof ≪ / RTI > The method according to claim 1,
Wherein the step of generating the at least one travel recommendation is based at least in part on bookkeeping statistics for a travel service managed by the reservation system. The method according to claim 1,
Wherein the step of generating the at least one travel recommendation is based at least in part on a user preference determined from a third party data source. The method according to claim 1,
Wherein the step of generating the at least one travel recommendation is based at least in part on recommendation data received from a third party data source. The method according to claim 1,
Wherein the step of generating the at least one travel recommendation is based at least in part on calendar data representing events for a plurality of destinations. The method according to claim 1,
Wherein the at least one bookable travel item of the travel recommendation includes hotel accommodation within a limited distance of the point of interest. The method according to claim 1,
Wherein the step of generating the at least one travel recommendation is based at least in part on a geographical travel destination of at least one point of interest associated with at least one travel destination. A system for generating at least one travel recommendation,
At least one processor; And
And program code configured to be executed by the at least one processor,
The program code comprising instructions for causing the at least one processor to: receive a travel request that includes travel destination data indicative of a departure location and at least one travel destination; at least one travel destination corresponding to at least one travel destination indicated in the destination data; Analyzing the trip destination data to determine the number of days and the number of days determined to stay in at least one travel destination; And to generate at least one travel recommendation including a travel item. As a computer program product,
A computer readable storage medium; And
And program code stored in the computer readable storage medium,
The program code comprising at least one processor operable to cause the at least one processor to receive a travel request that includes travel destination data indicative of a departure location and at least one travel destination, at least one corresponding to at least one travel destination indicated in the destination data Analyzing the travel destination data to determine a travel destination, and comparing the travel route including the departure location and the at least one travel destination, the number of days and the travel route determined to stay in at least one travel destination and the number of days determined to stay in at least one travel destination And creating at least one travel recommendation including a bookable travel item.

Images