A method includes receiving temporal-based user profile data including a first set of user profile data and a second set of user profile data. The method further includes determining an aggregated profile covariance (APC) and an aggregated profile variance (APV), and then deriving a regression coefficient based on the APC and the APV. In response to receiving an observation of desirable media content for one or more particular timeslots, the method further includes determining an updated APC based on a covariance of the first set of user profile data and the observation of desirable media content, determining an updated APV based on a variance of the first set of user profile data, and generating a prediction of desirable media content based on the updated APC, the updated APV, and the regression coefficient. The prediction of desirable media content corresponds to the one or more particular timeslots.

According to an embodiment, a data processing method comprises obtaining a first record associated with a first computer and a second record associated with a second computer that is different than the first computer; in response to determining that the first record has been obtained from a primary source, determining that at least a first set of key information in the first record matches a second set of key information in the second record, and in response thereto: creating and storing a master record comprising a union of the first record and the second record; storing, in a database, a third set of key information in the first record that does not match the second set, and a fourth set of key information in the second record that does not match the first set; using the master record to determine one or more electronic offers to present to any of a user, a computing device, or an account that is associated with the master record.

A digital advertising system includes an advertisements module that provides a number of digital advertisements for display on a digital display device. A digital sign module including the digital display device displays digital advertisements provided by the advertisements module, and captures video analytics data relating to previous viewers of the digital advertisements displayed by the digital sign module. A data mining module retrieves the video analytics data from the digital sign module and generates trained advertising models based thereon using a data mining algorithm. A content management system module coupled to the advertisements module and the data mining module receives the digital advertisements and the trained advertising models and generates a subset of the advertisements for display based on the trained advertising models.

A system for generating improved notifications relating to events is disclosed. The system includes a sensing network including an event sensor configured to sense events. The system further includes a sensed-event processing system configured to append meta data to information associated with a sensed event. The system further includes a human-machine interface and at least one communication unit configured to communicate amongst the human-machine interface, the sensing network, and the sensed event processing system, the information communicated from the sensing device via the at least one communication unit. The system further includes a notification generation system configured to generate a notification to a user of the human-machine interface, the notification content including at least one user-selectable action option. The communication unit configured to communicate the notification via the human-machine interface and select the notification content, the notification type, or the means of notification based on the meta data.

Novel system, methods, which include machine learning, and device for providing color and fashion recommendations, including for persons with visual impairment such as color blindness or complete blindness. Also, methods providing a data storage system for storing digital renditions of garments; providing a portable communication device to extract color and/or pattern from garments through use of a camera and at least one algorithm; providing a processor capable of accessing locally stored and/or remote information about or learning the preferred matching set of garments; assigning each garment in the set of garments a red-green-blue (RGB) value; providing a suitability ranking for matching compatibility of the garment or the set of garments; and providing recommendations for preferred matching garment or set of garments by organizing the garments in at least one queue selected from the group consisting of audial, tactile, visual or a combination thereof, wherein the individual imports garments or set of garments, through a series of photos or video, for bulk import into a virtual closet for the identification and assignment of type of garments or set of garments using human or computational methods.

A system and related devices and methods facilitating orchestration of page composition based on performance of one or more portions of the page are disclosed herein. An exemplary system may comprise a first device and a second device. An exemplary method may comprise providing to a client device, a first portion of a requested page while waiting for one or more service calls required to render a second portion to return, and after a time at which the one or more service calls required to render the second portion return, providing the client device with the second portion, the one or more service calls required to render the second portion having a higher latency than any service calls required to render the first portion.

Methods and systems to automatically respond to a request for product information are described. In one embodiment, a data collection module may collect product data over a network, identify that the product data is related to a particular product, and store the product data and an association between the product data and the particular product in a database. An instant messaging engine may receive a request for the product data after the product data is stored in the database and an interpreter module may identify, in response to the request, the request to correspond to the particular product and retrieve the product data based on the association between the particular product and the product data. The instant messaging engine may also transmit, using an instant messaging protocol, a response to the request, the response including the product data.

The disclosure relates to securing and enabling user control of profiling data, blockchain-driven matching of users and advertiser-identified anonymous profiling data records of interest, and smart contracts encoded by blockchain for executing transactions. The system may include an anonymized database of profiling data, which is unlinked to any user. The system may implement a private blockchain to store user-defined settings that provide user control over whether and how the profiling data may be used. If a grant to use the data is received, a link is stored that allows the system to identify a user associated with the anonymous profiling data records. If the grant is revoked, the link may be removed. The system may also implement public blockchain technology to record a public information relating to grants, online marketing transactions, making them verifiable, immutable, and transparent for various stakeholders including advertisers, publishers, and users.

A system includes a first computing device client associated with a first user in a community of users operable to send content to publish to a data aggregation server. The data aggregation server is operable to receive the content to publish from the first computing device client, host a first user profile associated with the first user of the first computing device client, the first user profile identifying a targeted recipient in the community of users, and disseminate automatically the content received from the first computing device client to a second computing device client associated with the targeted recipient, without receiving input from the first computing device client explicitly specifying the targeted recipient to whom the content is disseminated.

A pet is identified by capturing or receiving an image containing the pet, isolating the pet in the image, and identifying the pet. Isolating the pet may include image enhancement, such as outlining the pet (e.g., a fur outline) or removing a background of the image. The identification may include comparison of various pet characteristics to a database of characteristics associated with known pets. The characteristics may be type of animal characteristics, breed characteristics, and specific pet characteristics and/or the pet's name. Pets and their characteristics may be may be added to the database using similar criteria forming a profile for each pet that may be used for other purposes. More than one pet may be linked to an owner such as through a mobile device ID and more than one owner or individual may be linked to a pet.