Abstract:
Disclosed are systems and methods for improving interactions between servers in a messaging system supported by or configured with advertising servers or platforms. The systems interact to filter data across platforms, which data can be used to improve the contextual quality of data used in processing interactions between or among processors in such systems.
Abstract:
Disclosed are computer systems and methods for contextually targeted advertising using a regular periodicity of information derived from a user's messaging behavior. The disclosed systems and methods enable the prediction of future purchases based on a periodicity analysis of a user's purchase history, whereby advertisements can be targeted to the user based on the user's determined purchase habits. The disclosed systems and methods analyze a user's inbox by mining for purchase receipt messages, and determine a frequency of purchases associated with such receipts. Based on the determined frequency, the disclosed systems and methods can predict when subsequent like or similar purchases are to occur, whereby relevant advertisements or coupons may be served to the user in advance of the projected purchases.
Abstract:
One or more computing devices, systems, and/or methods for transferring subscriptions are provided. For example, a user (e.g., and/or a device associated with the user) of a communication platform may request to transfer a plurality of subscriptions from a first account to a second account. Access information associated with the first account may be used to access a first storage space of the first account, the plurality of subscriptions may be identified based upon the first storage space, and the plurality of subscriptions may (e.g., concurrently) be transferred from the first account to the second account.
Abstract:
Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods transform user search keywords into equivalent keyword formats commonly used and/or found within messaging platforms, and compile a data set from such information from which a search for content can be based. The present disclosure, therefore, provides systems and methods that augment users' search terms with terms found in users' mailboxes for purposes of searching for, identifying and communicating content that is relevant to those users.
Abstract:
Disclosed herein is a system to validate information about a user, or users, derived from publicly-accessible data. The system comprises a validation system that uses private data about the user to validate the user information derived from the publicly-accessible data. The validation system may receive a validation request in connection with an inconclusive result derived from the publicly-accessible data.
Abstract:
Users may receive content (e.g., an email, an app interface, a website, a social media post, etc.) comprising a first advertisement. The first advertisement may be evaluated to extract advertisement features (e.g., an item, an item price, a supplemental term of the first advertisement, etc.). An advertisement opportunity may be offered to a second advertiser through an advertiser exchange interface. The second advertiser may generate an advertisement bid to show a second advertisement for the item. Responsive to the advertisement bid being more favorable to the user than the first advertisement (e.g., a lower price, the item with enhanced features for a similar price, etc.), the first advertisement and the second advertisement may be presented with the content to the user.
Abstract:
Disclosed are systems and methods for automatically deleting messages from a recipient's inbox. The disclosed systems and methods provide the ability for automatic actions to be taken on delivered messages based on a passage of time. This enables a sender of messages, email service provider and/or email platform to exert control over sent messages to limit the number and type of operations that may be performed on such messages. For example, operations such as saving, forwarding, printing, copying, or otherwise duplicating the message and/or message data can be prohibited and all together rendered impossible. The disclosed systems and methods enables the purging of messages and associated message data from a recipient's inbox at a certain specified time, after the passage of a pre-determined amount of time, or upon the detection of a specified event.
Abstract:
Disclosed is a system and method for email management that leverages information derived from automatically generated messages in order to identify types of messages and message content. The disclosed systems and methods apply the information learned from decoding previously received messages to other messages in a user's inbox to fully, or at least partially decode the information included within such messages. The disclosed systems and methods analyze messages received in a user's inbox to detect message specific information corresponding to types of content in the message and the location of such content in the messages. The message specific information is then applied to other newly received or identified messages to learn message specific information about those messages. Based on such learning, information can be extracted from such messages in order to increase a user's experience and increase monetization.
Abstract:
Electronic messages may comprise pieces of economic data, such as an email comprising a first sales receipt and an instant message comprising a second sales receipt. Pieces of economic data may be extracted from electronic messages to obtain a set of extracted economic data. A scale factor may be determined based upon historical economic data (e.g., gross domestic sales data, stock data, etc.). A real-time economic indicator (e.g., a coincident indicator, a leading indicator, etc.) may be determined based upon the set of extracted economic data and the scale factor. The real-time economic indicator may be provided to users, such as through a real-time feedback (e.g., according to a license agreement).
Abstract:
A cross-device messaging integration capability is disclosed, which allows a user using a first device to indicate, using a first user computing device, an intent to perform one or more messaging actions at one or more second user computing device(s). The first and second devices may be different devices. The user may receive a reminder or other notification of the user's intent at the second device(s).