Abstract:
Disclosed herein is system, method and architecture to process information received in electronic messages, including identifying events in the lives of users from the information contained in one or more such electronic messages.
Abstract:
Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, 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 provide systems and methods for automatically generating an aggregate rating for an electronic message using one or both of explicit and implicit rating input from a number of recipients of the electronic message. The disclosed systems and methods communication information about the electronic message using the aggregate rating.
Abstract:
One or more techniques and/or systems are provided for supplemental content identification. Service usage of a client device of a user corresponding to a time frame of an event may be identified (e.g., a user interacting with a social network). The user may be determined to be viewing the event based upon the service usage, external data (e.g., an event schedule.), demographic data (e.g., a user interest), a current location, etc. A service usage pattern may be determined based upon the service usage. A second service usage pattern may be determined based upon second service usage of a second client device of a second user. Responsive to the service usage pattern and the second service usage pattern comprising a pattern similarity exceeding a pattern threshold, the second user may be identified as viewing the event. The second user may be provided with supplemental content associated with the event.
Abstract:
Techniques are described for identifying advertising content that should not be shown to users. Information representing characteristics of a user, behavior of the user, and/or events in the life of that user is used to filter out or negatively bias selection of inappropriate or irrelevant ads.
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:
As provided herein, information associated with a first product may be provided to a device using an identifier that corresponds to the device and that is received from a different device. For example, a selection associated with the first product may be received (e.g., by a server) from the different device. A request for the identifier may be provided (e.g., by the server) to the different device. The identifier may be received (e.g., by the server) from the different device, and information associated with the first product may be provided (e.g., by the server) to the second device using the identifier.