Abstract: Predicting the future location of a user based on predicting the route that the user might take is disclosed. The routes used by the user in the past are indexed to generate a dictionary of routes which can be further augmented with contextual data. The prior routes are encoded within the dictionary such that each term representing a respective one of the prior routes comprises a collection of unique identifiers wherein each of the unique identifiers represents a segment of the respective one of the prior routes. Techniques of text prediction, term frequency for dictionary scores and other language processing techniques are used to predict the further route of the user.

Abstract: In one aspect, a computing apparatus is configured with a configurable, generic, data-driven model, in which properties of social networking sites/applications are stored and used in communicating offer-related messages via social networking sites.

Abstract: Systems and methods configured to program processing logic of related events via the use of autonomous components connected via a message board, a graphical user interface for specifying a workflow among selected autonomous components, where each of the autonomous components is configured to process a pre-determined type of events, and the autonomous components are configured to monitor a message board for relevant messages, retrieve respective messages from the message board, process the retrieved messages independent of other autonomous components, and provide processing results via posting messages on the message board. The messages posted on the message board identify the relevant workflows to cause the autonomous components to process data in accordance with the workflows.

Abstract: In one aspect, a computing apparatus is configured to represent offer rules based on requirements for the detection of predefined types of events, and actions scheduled to be performed in response to the detection of each occurrence of the events. The events are processed independently from each other and are linked via prerequisite conditions to formulate the requirements of an offer campaign. In one embodiment, the requirements for the detection of the events are specified based on predetermined types of events, including a first type for an event specified for interaction with a first user when the first user performs an action as a result of a referral from a second user, and a second type for an event specified for interaction with the second user in response to the first user performing the action.

Abstract: In one aspect, a computing apparatus is configured with a configurable, generic, data-driven model, in which properties of social networking sites/applications are stored and used in communicating offer-related messages via social networking sites.

Abstract: Provided are systems and methods for route prediction. A method includes generating a route dictionary comprising a plurality of routes, generating a route prediction for a route partially traversed by a user based on the route dictionary and a context of the user, generating at least one location of interest based on the route prediction, monitoring an actual route of the user continuing from the route partially traversed, recording an accuracy of the route prediction based on the actual route of the user, determining that the actual route does not match the route prediction based on the accuracy, in response to determining that the actual route does not match the route prediction, determining if the actual route matches an existing route stored in the route dictionary, in response to determining that the actual route matches the existing route, and updating a count associated with the existing route.

Abstract: In one aspect, a computing apparatus is configured with a configurable, generic, data-driven model, in which properties of social networking sites/applications are stored and used in communicating offer-related messages via social networking sites.

Abstract: Selection of offers, locations or merchants based on their distances from a portion of a user's route and their affinity for the user is disclosed. A route employed by a user for travelling to a destination is obtained and segmented at identified vertices. Locations that are proximate to the route segments are determined. The proximate locations are further analyzed to obtain their specific distances from a selected portion such as the user's origin or destination or any route segment. Location based services are associated with those proximate locations that are closest to the selected portion on the user's route or those with the better utility.

Abstract: Predicting the future location of a user based on predicting the route that the user might take is disclosed. The routes used by the user in the past are indexed to generate a dictionary of routes which can be further augmented with contextual data. The prior routes are encoded within the dictionary such that each term representing a respective one of the prior routes comprises a collection of unique identifiers wherein each of the unique identifiers represents a segment of the respective one of the prior routes. Techniques of text prediction, term frequency for dictionary scores and other language processing techniques are used to predict the further route of the user.

Abstract: Predicting the future location of a user based on predicting the route that the user might take is disclosed. The routes used by the user in the past are indexed to generate a dictionary of routes which can be further augmented with contextual data. The prior routes are encoded within the dictionary such that each term representing a respective one of the prior routes comprises a collection of unique identifiers wherein each of the unique identifiers represents a segment of the respective one of the prior routes. Techniques of text prediction, term frequency for dictionary scores and other language processing techniques are used to predict the further route of the user.

Abstract: Selection of offers, locations or merchants based on their distances from a portion of a user's route and their affinity for the user is disclosed. A route employed by a user for travelling to a destination is obtained and segmented at identified vertices. Locations that are proximate to the route segments are determined. The proximate locations are further analyzed to obtain their specific distances from a selected portion such as the user's origin or destination or any route segment. Location based services are associated with those proximate locations that are closest to the selected portion on the user's route or those with the better utility.

Abstract: Selection of offers, locations or merchants based on their distances from a portion of a user's route and their affinity for the user is disclosed. A route employed by a user for travelling to a destination is obtained and segmented at identified vertices. Locations that are proximate to the route segments are determined. The proximate locations are further analyzed to obtain their specific distances from a selected portion such as the user's origin or destination or any route segment. Location based services are associated with those proximate locations that are closest to the selected portion on the user's route or those with the better utility.

Abstract: In one aspect, a computing apparatus is configured to represent offer rules based on requirements for the detection of predefined types of events, and actions scheduled to be performed in response to the detection of each occurrence of the events. The events are processed independently from each other and are linked via prerequisite conditions to formulate the requirements of an offer campaign. In one embodiment, the requirements for the detection of the events are specified based on predetermined types of events, including a first type for an event specified for interaction with a first user when the first user performs an action as a result of a referral from a second user, and a second type for an event specified for interaction with the second user in response to the first user performing the action.

Abstract: Selection of offers, locations or merchants based on their distances from a portion of a user's route and their affinity for the user is disclosed. A route employed by a user for travelling to a destination is obtained and segmented at identified vertices. Locations that are proximate to the route segments are determined. The proximate locations are further analyzed to obtain their specific distances from a selected portion such as the user's origin or destination or any route segment. Location based services are associated with those proximate locations that are closest to the selected portion on the user's route or those with the better utility.

Abstract: In one aspect, a computing apparatus is configured to represent offer rules based on requirements for the detection of predefined types of events and actions scheduled to be performed in response to the detection of each occurrence of the events. The events are independent from each other in processing and are linked via prerequisite conditions and/or ineligibility conditions to formulate the requirements of an offer campaign. In one embodiment, the ineligibility of a user, participating in the offer campaign, to meet the requirements of a first event leads to the monitoring of a second event that has a prerequisite condition formulated based on the ineligibility of the user to meet the requirements of the first event; and the second event provides an alternative path within the offer campaign when the user cannot meet the requirements of the first event.

Abstract: In one aspect, a computing apparatus is configured to represent offer rules based on requirements for the detection of predefined types of events, and actions scheduled to be performed in response to the detection of each occurrence of the events. The events are processed independently from each other and are linked via prerequisite conditions to formulate the requirements of an offer campaign. In one embodiment, the requirements for the detection of the events are specified based on predetermined types of events, including a first type for an event specified for interaction with a first user when the first user performs an action as a result of a referral from a second user, and a second type for an event specified for interaction with the second user in response to the first user performing the action.

Abstract: Selection of offers, locations or merchants based on their distances from a portion of a user's route and their affinity for the user is disclosed. A route employed by a user for travelling to a destination is obtained and segmented at identified vertices. Locations that are proximate to the route segments are determined. The proximate locations are further analyzed to obtain their specific distances from a selected portion such as the user's origin or destination or any route segment. Location based services are associated with those proximate locations that are closest to the selected portion on the user's route or those with the better utility.

Abstract: Systems and methods to track locations of a mobile device as a function of time and extract routes traversed by the mobile device, frequencies of the routes, and travel time periods of the routes. The route information is organized as a route dictionary. In response to an indication of a recently completed route, the information of the recently completed route is used in the route dictionary to look up a most likely route for the next trip and the predicted time of the next trip. Location-based data items are selected based on the predicted route for the next trip, sorted based on closeness to the route and affinity to the user of the mobile device for transmission to the mobile device. Top selected data items are scheduled to be transmitted to the mobile device in a time window before the predicted time of the next trip to avoid distracting the user (e.g., from driving) while the user is on the trip.

Abstract: System and method configured to store data defining merchant groups, data associating transaction terminals with merchant groups, and data associating offers with merchant groups. Each of the merchant has one or more transaction terminals configured to process payments via a payment processing network. When a transaction being processed in the payment processing network is detected to be relevant to offers, the transaction data is augmented/enriched with data identifying one or more merchant groups to which a transaction terminal that initiates the transaction is associated. Offer rules are applied to the transaction data that is augmented with merchant group data.

Abstract: Systems and methods configured to program processing logic of related events via the use of autonomous components connected via a message board, a graphical user interface for specifying a workflow among selected autonomous components, where each of the autonomous components is configured to process a pre-determined type of events, and the autonomous components are configured to monitor a message board for relevant messages, retrieve respective messages from the message board, process the retrieved messages independent of other autonomous components, and provide processing results via posting messages on the message board. The messages posted on the message board identify the relevant workflows to cause the autonomous components to process data in accordance with the workflows.