Abstract: A method and system receives at a server a search request and processes the search request to determine a context of the search request, then determines, based on the context, a network route to an application server having the closest geographic proximity, with respect to the server, to the most relevant database associated with the context.

Abstract: A method and system receives at a server a search request and processes the search request to determine a context of the search request, then determines, based on the context, a network route to an application server having the closest geographic proximity, with respect to the server, to the most relevant database associated with the context.

Abstract: Methods and systems are provided for managing network traffic routing. The system receives a request by a user and determines a location of the user. The system determines, based on a configuration of rules, an application pool is in a first zone that includes the location of the user. Further, in response to the determining the application pool is in the first zone, the system routes the request to the application pool and parses the request to determine a context of the request. The system determines, based on the context parsed from the request, an application server in the application pool to service the request based on the context. Finally, in response to determining the application server based on the context, the system routes the request to the application server.

Abstract: Methods and systems are provided for managing network traffic routing. The system receives a request by a user and determines a location of the user. The system determines, based on a configuration of rules, an application pool is in a first zone that includes the location of the user. Further, in response to the determining the application pool is in the first zone, the system routes the request to the application pool and parses the request to determine a context of the request. The system determines, based on the context parsed from the request, an application server in the application pool to service the request based on the context. Finally, in response to determining the application server based on the context, the system routes the request to the application server.

Abstract: Systems and methods for managing network traffic routing are described. The system receives network traffic from external-facing load balancers at a gateway of a distributed network application. The network traffic includes one or more data requests. The system inspects a data request of the one or more data requests to determine a context of the data request. The system routes the network traffic from the external-facing load balancers to the gateway based on a geographic location of an origin of the network traffic. Finally, the system routes, based on the context of the data request corresponding to data stored at a database, the data request from the gateway to a first internal-facing load balancer of a plurality of internal-facing load balancers associated with a first application server of a plurality of application servers having a closest geographic proximity to the database.

Abstract: A method to facilitate a language independent search includes displaying a search attribute, including an attribute name and a selection of attribute values, to a user and receiving from the user a search attribute value selection corresponding to the attribute name. Then, the attribute name and attribute value selection are translated into language independent symbols, such as numbers. The numbers are used in a search of a sellers item listings table to select item listings with attribute values that match the search attribute values selected by the user.

Abstract: Systems and methods for managing network traffic routing are described. The system receives network traffic from external-facing load balancers at a gateway of a distributed network application. The network traffic includes one or more data requests. The system inspects a data request of the one or more data requests to determine a context of the data request. The system routes the network traffic from the external-facing load balancers to the gateway based on a geographic location of an origin of the network traffic. Finally, the system routes, based on the context of the data request corresponding to data stored at a database, the data request from the gateway to a first internal-facing load balancer of a plurality of internal-facing load balancers associated with a first application server of a plurality of application servers having a closest geographic proximity to the database.

Abstract: A system and method for searching travel services. A server computer receives a travel request from a client device operated by a user. The server computer identifies travel options according to the travel request. The server computer classifies the travel options into predefined groups, the classifying based on at least one of past transactions, input from domain experts, input from semantic analysts, analytics data, user preferences, and company policies. The server computer presents the options via presentation of the predefined groups.

Abstract: A system and method for searching travel services. A server computer receives a travel request from a client device operated by a user. The server computer identifies travel options according to the travel request. The server computer classifies the travel options into predefined groups, the classifying based on at least one of past transactions, input from domain experts, input from semantic analysts, analytics data, user preferences, and company policies. The server computer presents the options via presentation of the predefined groups.

Abstract: A system and method for searching travel services. A server computer receives a travel request from a client device operated by a user. The server computer identifies travel options according to the travel request. The server computer classifies the travel options into predefined groups, the classifying based on at least one of past transactions, input from domain experts, input from semantic analysts, analytics data, user preferences, and company policies. The server computer presents the options via presentation of the predefined groups.

Abstract: A system and method for searching travel services. A server computer receives a travel request from a client device operated by a user. The server computer identifies travel options according to the travel request. The server computer classifies the travel options into predefined groups, the classifying based on at least one of past transactions, input from domain experts, input from semantic analysts, analytics data, user preferences, and company policies. The server computer presents the options via presentation of the predefined groups.

Abstract: A method to facilitate a language independent search includes displaying a search attribute, including an attribute name and a selection of attribute values, to a user and receiving from the user a search attribute value selection corresponding to the attribute name. Then, the attribute name and attribute value selection are translated into language independent symbols, such as numbers. The numbers are used in a search of a sellers item listings table to select item listings with attribute values that match the search attribute values selected by the user.

Abstract: A method and a system to correlate location and content. For example, data is received from a client device that includes current geographical position data identifying a geographical position of the client device. A vendor having a geographical location within a specified distance of the geographical position of the client device is identified. An offer from the vendor within the distance of the client device is returned to the client device.

Abstract: A method and a system to correlate location and content. For example, data is received from a client device that includes current geographical position data identifying a geographical position of the client device. A vendor having a geographical location within a specified distance of the geographical position of the client device is identified. An offer from the vendor within the distance of the client device is returned to the client device.

Abstract: A system and method for searching travel services. A server computer receives a travel request from a client device operated by a user. The server computer identifies travel options according to the travel request. The server computer classifies the travel options into predefined groups, the classifying based on at least one of past transactions, input from domain experts, input from semantic analysts, analytics data, user preferences, and company policies. The server computer presents the options via presentation of the predefined groups.

Abstract: In one embodiment, a system and method is illustrated as including generating a model using at least one of a global conduct score and attribute data. A range of numeric values may be retrieved, based upon which, a better term is granted in a transaction than would otherwise be granted in the transaction. A comparison may be made between the model and the range of numeric values. Further, a better term may be granted in the transaction where the model falls within the range of numeric values. The global conduct score is computed using an approach including at least one of a feed score approach, and a composite score approach. The attribute data includes page view data, click through data, account usage data, and good purchased data. The model includes a global conduct score model, a weighting model, an AI based model, and an associated network based model.

Abstract: In one embodiment, a system and method is illustrated as including generating a model using at least one of a global conduct score and attribute data. A range of numeric values may be retrieved, based upon which, a better term is granted in a transaction than would otherwise be granted in the transaction. A comparison may be made between the model and the range of numeric values. Further, a better term may be granted in the transaction where the model falls within the range of numeric values. The global conduct score is computed using an approach including at least one of a feed score approach, and a composite score approach. The attribute data includes page view data, click through data, account usage data, and good purchased data. The model includes a global conduct score model, a weighting model, an AI based model, and an associated network based model.

Abstract: Methods and Systems of detecting and reporting fraud in real-time are described. The system receives an event, over a network, from a first on-line transaction processing platform. The event includes a first identity identifier that identifies a first identity and information that identifies a first activity performed by the first identity. The system generates reporting information based on the event. The reporting information includes a first score that is associated with the first identity. The first score is a measure of a likelihood that the first identity has performed a fraudulent activity. Finally, the system communicates the first score, over the network, to the first on-line transaction processing platform. The system communicates the first score in response to receiving the event.

Abstract: In one embodiment, a system and method is illustrated as including generating a model using at least one of a global conduct score and attribute data. A range of numeric values may be retrieved, based upon which, a better term is granted in a transaction than would otherwise be granted in the transaction. A comparison may be made between the model and the range of numeric values. Further, a better term may be granted in the transaction where the model falls within the range of numeric values. The global conduct score is computed using an approach including at least one of a feed score approach, and a composite score approach. The attribute data includes page view data, click through data, account usage data, and good purchased data. The model includes a global conduct score model, a weighting model, an AI based model, and an associated network based model.