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 computing device may be configured to provide authorization to a first content source to provide first content to a user device. The computing device may receive a request from the first content source to identify a location of second content to be presented to the user device and respond to the request by providing an address to the first content source. At the provided address, a request for the second content from the user device may be received. When responding to the request, the computing device may retrieve information associated with the user (e.g., user preference information) from the user device. Using this information, the computing device may generate at least one parameter for selecting the second contend and send a response to the user device. The response may include an address for the second content and the at least one parameter for selecting the second content.

Techniques and system configurations for tracking customers and employees in a commercial environment such as a retail store are described herein. Customer devices that are operated by an associated customer may be tracked to determine customer shopping activities in a retail store, and to obtain promotions or affect targeted results based on the customer's activity and a profile associated with the customer. Employee devices that are operated by an associated employee also may be tracked to identify employee activities and manage the interactions that occur with customers in the retail environment. In-store activities and interactions accordingly may be enhanced as a result of advertising, marketing, and analytics derived from the tracked activities.

A method for targeted content insertion in real-time streaming. The method leverages the different ordered signals available on a multi-step process that clients follow when subscribing to a real-time media (video and/or audio) stream including selecting a region, connecting to a control channel, and subscribing to a stream to guide a multi-stage process of content selection, transcoding, and insertion in a real-time media stream. A system is also specified for implementing the described method on a real-time streaming architecture.

Methods and apparatus are disclosed regarding an e-commerce system that places customers into a plurality of clusters and tailors services provided to a customer based on the cluster in which the customer is placed. In one embodiment, the e-commerce system defines the clusters based on purchase history data for customers having sufficient purchase history data. The e-commerce system then places customers without sufficient purchase history data into one of the defined clusters based on demographic data for the customer and demographic data for the customers in the cluster.

An automatic system facilitates selection of media properties on which to display an advertisement, responsive to a profile collected on a first media property, where a behavioral-targeting company calculates expected profit for an ad correlated with the profile and arranges for the visitor to be tagged with a tag readable by the selected media property. The profit can be calculated by deducting, from the revenues that are expected to be generated from an ad delivered based on the collected profile, at least the price of ad space at a media property where the BT company might like to deliver ads to the profiled visitor. When the calculated profit is positive (i.e., not a loss), the BT company arranges for the visitor to be tagged with a tag readable by the selected media property through which the BT company expects to profit.

Methods and apparatus for delivering content to an audience member via one or more mediums based on an audience member profile are disclosed. Profile data for audience members may be initially collected from an offline source, such as a registration or subscription database. The profile data may be stored in a dedicated database. The initial profile data may be supplemented periodically with data reflecting online activity by the audience member. The combined offline and online profile data may be used to group the audience members into segments. Audience member segments may be used to identify audience members who are targeted to receive like content. An audience member's inclusion in a segment may be indicated by storing a segment-targeting cookie on the audience member computer. Content may be delivered to the audience member based on identification of the segment in the segment-targeting cookie.

Methods, configured mobile devices, and computer-readable media for displaying content on mobile devices are disclosed. An exemplary of displaying content on a mobile device includes receiving a first content request provided by a native app executing on one or more processors of the mobile device; responsive to receiving the first content request, determining whether the native app is permitted to display app content on a lock screen of the mobile device, wherein said determining includes examining at least one of: mobile device location, mobile device motion, and date/time; and in the event that the native app is permitted to display app content on the lock screen of the mobile device: transmitting a second content request to a content server; receiving app content from the content server in response to the second content request; and displaying the app content on the lock screen of the mobile device. In an alternative method, in the event that the native app is permitted to display app content on the lock screen of the mobile device, app content is obtained from the native app.

A valid combination of products is constructed from a set of products identified by a retailing backend system. The valid combination satisfies a condition of an offer. A product in the combination of product is a physical product located in a physical store. A social sentiment towards the product in social media data of a shopper is evaluated, and a rating of the product is computed using the evaluation. A location of the product in the store is obtained from the retailing backend system. The location of the product is overlaid on a view of the store, where the view is from a perspective of a location of the shopper, the shopper being physically situated in the store.

Systems and methods for social networking. Location-related data and other behavioral and exogenously generated characteristics are used to replace or supplement self-generated profiles in order to enhance the quality and trustworthiness of the matches made using the system and facilitate the inputting of profile information.