Abstract: A first user device may receive, from a second user device, a request to communicatively couple to the first user device, and may establish a communication session with the second user device after receiving the request. The first user device may identify, after establishing the communication session, an inappropriate activity of the second user device relating to the communication session, and perform a set of actions based on identifying the inappropriate activity. The set of actions may include causing the communication session to be restricted, and providing, to a trust platform, a score for the second user device. The score may permit the trust platform to derive a composite score, indicative of a level of trustworthiness of the second user device, that enables other user devices, associated with the trust platform, to determine whether to grant access requests submitted by the second user device.

Abstract: In certain aspects, the disclosed implementations include methods and systems for dynamically generating and determining transaction affinity relationship information associated with a set of merchants involved in a set of transactions. In certain implementations, the transaction affinity relationship information may reflect affinity relationships between merchant chains in a merchant affinity network. The disclosed implementations may receive an adjustment to an affinity relationship associated with a merchant chain, and based on the adjustment, predicts one or more changes to affinity relationships associated with other merchant chains in the merchant affinity network.

Abstract: In certain aspects, the disclosed implementations include methods and systems for dynamically generating and determining transaction affinity relationship information associated with a set of merchants involved in a set of transactions. In certain implementations, the transaction affinity relationship information may reflect affinity relationships between merchant chains in a merchant affinity network. The disclosed implementations may receive an adjustment to an affinity relationship associated with a merchant chain, and based on the adjustment, predicts one or more changes to affinity relationships associated with other merchant chains in the merchant affinity network.

Abstract: In certain aspects, the disclosed implementations include methods and systems for providing transaction affinity merchant recommendation information performed by transaction affinity platform computing components that execute software stored in a memory. In certain aspects, the disclosed implementations may determine transaction affinity relationship data for transactions associated with a set of account records. Each account record in the set of account records may be associated with a set of users. The disclosed implementations may also determine transaction affinity relationship profiles based on transaction affinity profile parameters that are associated with the transaction affinity relationship data and first transaction data. Further, the disclosed implementations may determine one or more transaction affinity patterns based on the transaction affinity relationship data and the transaction affinity relationship profiles.

Abstract: In certain aspects, the disclosed implementations include methods and systems for dynamically generating and determining transaction affinity relationship information associated with a set of merchants involved in a set of transactions. In certain implementations, the transaction affinity relationship information may reflect affinity relationships between merchant chains in a merchant affinity network. The disclosed implementations may receive an adjustment to an affinity relationship associated with a merchant chain, and based on the adjustment, predicts one or more changes to affinity relationships associated with other merchant chains in the merchant affinity network.

Abstract: In certain aspects, the disclosed implementations include methods and systems for dynamically generating and determining transaction affinity relationship information associated with a set of merchants involved in a set of transactions. In certain implementations, the transaction affinity relationship information may reflect affinity relationships between merchant chains in a merchant affinity network. The disclosed implementations may receive an adjustment to an affinity relationship associated with a merchant chain, and based on the adjustment, predicts one or more changes to affinity relationships associated with other merchant chains in the merchant affinity network.

Abstract: In certain aspects, the disclosed implementations include methods and systems for dynamically generating and providing transaction affinity recommendation data. In certain implementations, the transaction affinity recommendation data may include information that identifies a target merchant and associated merchant promotion data that may be generated based on a dynamic analysis of transaction data corresponding to an account record. The disclosed implementations may determine temporal relationships between pairs of sequential transactions corresponding to the account record, and based on such relationships, may identify pairs of transactions involving separate merchants. The disclosed implementations may determine affinity relationships associated with one or more pairs of the temporally related transactions and a target merchant, and based on such relationships, generate and provide the transaction affinity recommendation data.

Abstract: A first user device may receive, from a second user device, a request to communicatively couple to the first user device, and may establish a communication session with the second user device after receiving the request. The first user device may identify, after establishing the communication session, an inappropriate activity of the second user device relating to the communication session, and perform a set of actions based on identifying the inappropriate activity. The set of actions may include causing the communication session to be restricted, and providing, to a trust platform, a score for the second user device. The score may permit the trust platform to derive a composite score, indicative of a level of trustworthiness of the second user device, that enables other user devices, associated with the trust platform, to determine whether to grant access requests submitted by the second user device.

Abstract: In certain aspects, the disclosed implementations include methods and systems for dynamically generating and providing transaction affinity recommendation data. In certain implementations, the transaction affinity recommendation data may include information that identifies a target merchant and associated merchant promotion data that may be generated based on a dynamic analysis of transaction data corresponding to an account record. The disclosed implementations may determine temporal relationships between pairs of sequential transactions corresponding to the account record, and based on such relationships, may identify pairs of transactions involving separate merchants. The disclosed implementations may determine affinity relationships associated with one or more pairs of the temporally related transactions and a target merchant, and based on such relationships, generate and provide the transaction affinity recommendation data.

Abstract: A system for facilitating remote assistance, the system configured to: receive, from a second computing device, device location data of the second computing device; identify, responsive to receiving a trigger communication from the second computing device, one or more proximate users within a predefined distance of the second computing device; generate an assistance communication including a prompt for assistance; transmit, to one or more third computing devices of the identified proximate users, the assistance communication; receive, from an assisting device among the one or more third computing devices, an assistance response indicative of an indication that the user of the assisting device is willing to assist the user of the second computing device; transmit, to the second computing device, a user profile associated with the user of the assisting device; and responsive to receiving an assistance acceptance, facilitate a communication channel between the second computing device and the assisting device.

Abstract: A system for facilitating remote assistance, the system configured to: receive, from a second computing device, device location data of the second computing device; identify, responsive to receiving a trigger communication from the second computing device, one or more proximate users within a predefined distance of the second computing device; generate an assistance communication including a prompt for assistance; transmit, to one or more third computing devices of the identified proximate users, the assistance communication; receive, from an assisting device among the one or more third computing devices, an assistance response indicative of an indication that the user of the assisting device is willing to assist the user of the second computing device; transmit, to the second computing device, a user profile associated with the user of the assisting device; and responsive to receiving an assistance acceptance, facilitate a communication channel between the second computing device and the assisting device.

Abstract: A system for facilitating remote assistance, the system configured to: receive, from a second computing device, device location data of the second computing device; identify, responsive to receiving a trigger communication from the second computing device, one or more proximate users within a predefined distance of the second computing device; generate an assistance communication including a prompt for assistance; transmit, to one or more third computing devices of the identified proximate users, the assistance communication; receive, from an assisting device among the one or more third computing devices, an assistance response indicative of an indication that the user of the assisting device is willing to assist the user of the second computing device; transmit, to the second computing device, a user profile associated with the user of the assisting device; and responsive to receiving an assistance acceptance, facilitate a communication channel between the second computing device and the assisting device.

Abstract: A system may perform the steps of facilitating targeted content delivery to users. The system may receive demographic data associated with the user. The system may receive, sensor data from a user device associated with a user. The system may receive user data sharing preferences comprising rules that specify types of user information and sensor data accessible by a merchant. The system may determine an allowed dataset comprising a subset of the user information and sensor data that the merchant may access. The system may then receive merchant advertisement rules that designate a type of user to send advertisements to based on available user data. The system may then determine an advertisement to provide to the user and a method of presenting the advertisement to the user. The system may then cause the advertisement to be presented to the user by the determined method.

Abstract: A system for facilitating remote assistance, the system configured to: receive, from a second computing device, device location data of the second computing device; identify, responsive to receiving a trigger communication from the second computing device, one or more proximate users within a predefined distance of the second computing device; generate an assistance communication including a prompt for assistance; transmit, to one or more third computing devices of the identified proximate users, the assistance communication; receive, from an assisting device among the one or more third computing devices, an assistance response indicative of an indication that the user of the assisting device is willing to assist the user of the second computing device; transmit, to the second computing device, a user profile associated with the user of the assisting device; and responsive to receiving an assistance acceptance, facilitate a communication channel between the second computing device and the assisting device.

Abstract: In certain aspects, the disclosed implementations include methods and systems for dynamically generating and providing transaction affinity recommendation data. In certain implementations, the transaction affinity recommendation data may include information that identifies a target merchant and associated merchant promotion data that may be generated based on a dynamic analysis of transaction data corresponding to an account record. The disclosed implementations may determine temporal relationships between pairs of sequential transactions corresponding to the account record, and based on such relationships, may identify pairs of transactions involving separate merchants. The disclosed implementations may determine affinity relationships associated with one or more pairs of the temporally related transactions and a target merchant, and based on such relationships, generate and provide the transaction affinity recommendation data.

Abstract: A first user device may receive, from a second user device, a request to communicatively couple to the first user device, and may establish a communication session with the second user device after receiving the request. The first user device may identify, after establishing the communication session, an inappropriate activity of the second user device relating to the communication session, and perform a set of actions based on identifying the inappropriate activity. The set of actions may include causing the communication session to be restricted, and providing, to a trust platform, a score for the second user device. The score may permit the trust platform to derive a composite score, indicative of a level of trustworthiness of the second user device, that enables other user devices, associated with the trust platform, to determine whether to grant access requests submitted by the second user device.

Abstract: A first user device may receive, from a second user device, a request to communicatively couple to the first user device, and may establish a communication session with the second user device after receiving the request. The first user device may identify, after establishing the communication session, an inappropriate activity of the second user device relating to the communication session, and perform a set of actions based on identifying the inappropriate activity. The set of actions may include causing the communication session to be restricted, and providing, to a trust platform, a score for the second user device. The score may permit the trust platform to derive a composite score, indicative of a level of trustworthiness of the second user device, that enables other user devices, associated with the trust platform, to determine whether to grant access requests submitted by the second user device.

Abstract: In certain aspects, the disclosed implementations include methods and systems for dynamically generating and providing transaction affinity recommendation data. In certain implementations, the transaction affinity recommendation data may include information that identifies a target merchant and associated merchant promotion data that may be generated based on a dynamic analysis of transaction data corresponding to an account record. The disclosed implementations may determine temporal relationships between pairs of sequential transactions corresponding to the account record, and based on such relationships, may identify pairs of transactions involving separate merchants. The disclosed implementations may determine affinity relationships associated with one or more pairs of the temporally related transactions and a target merchant, and based on such relationships, generate and provide the transaction affinity recommendation data.

Abstract: In certain aspects, the disclosed implementations include methods and systems for dynamically generating and determining transaction affinity relationship information associated with a set of merchants involved in a set of transactions. In certain implementations, the transaction affinity relationship information may reflect affinity relationships between merchant chains in a merchant affinity network. The disclosed implementations may receive an adjustment to an affinity relationship associated with a merchant chain, and based on the adjustment, predicts one or more changes to affinity relationships associated with other merchant chains in the merchant affinity network.

Abstract: In certain aspects, the disclosed implementations include methods and systems for providing transaction affinity merchant recommendation information performed by transaction affinity platform computing components that execute software stored in a memory. In certain aspects, the disclosed implementations may determine transaction affinity relationship data for transactions associated with a set of account records. Each account record in the set of account records may be associated with a set of users. The disclosed implementations may also determine transaction affinity relationship profiles based on transaction affinity profile parameters that are associated with the transaction affinity relationship data and first transaction data. Further, the disclosed implementations may determine one or more transaction affinity patterns based on the transaction affinity relationship data and the transaction affinity relationship profiles.