A system and a method for controlling an electronic device embedded in a package of a consumer product are disclosed. In one aspect, the consumer product packaging includes a bottle for a beverage, a memory, a receiver and a circuit. The memory stores an action to be performed in response to an input. The receiver receives the input indicative of movement of the bottle. The circuit retrieves the action stored in memory upon receipt of the input and command an electronic communication module to perform the action at a particular time or in a particular sequence.

A contextual services delivery system that may deliver different contextual services to a smartphone and/or a POS terminal in response to a context environment, which can provide a user with a customized contextual services experience. In one embodiments, the system may be configured to identify a mobile device of a user entering a store location based on a POS terminal detecting the mobile device. The system can cause a display of an inventory of products for the store location and receive a selection of a product. A payment amount for the product can be displayed on the mobile device. An additional product can be selected based on a context characteristic of the product. An update for the additional product can be displayed on the mobile device. An acceptance of the additional product from the mobile device can be received. The payment amount is modified at the POS terminal.

Sensor data analysis may include obtaining video data, detecting facial data within the video data, extracting the facial data from the video data, detecting indicator data within the video data, extracting the indicator data from the video data, transforming the extracted facial data into representative facial data, and determining a mood of the person by associating learned mood indicators derived from other detected facial data with the representative facial data. The analysis may include determining that the representative facial data is associated with a complex profile, and determining a context regarding the person within the environment by weighting and processing the determined mood, at least one subset of data representing information about the person of the complex profile, and the indicator data. The analysis may include determining a user experience for the person, and communicating the determined user experience to a device associated with the person.

A system and method for facilitating electronic commerce over a network, according to one or more embodiments, includes communicating with a user via a user device and a business entity via a business entity device over the network, monitoring user navigation events over the network, determining a mood of the user based on user navigation behavior, marketing to the user based on the mood of the user, and storing user information related to the user navigation events and the mood of the user.

Advertisements are often presented in the context of a media content viewing experience. Advertisement presentation may be intrusive or subtle. In many instances, users may be interested in particular advertisements but may not want to disrupt a media content viewing experience by launching an advertisement window, opening an advertisement application, or otherwise being redirected to another piece of content. Consequently, mechanisms are provided to allow a user to identify advertisements or save advertisement interests for presentation at a later time. Saved advertisement interests can be used to inform future advertisement and/or content suggestions, and the user can be presented with selected advertisements within an application or through external mechanisms.

A method and computing device for optimizing placement of digital signage content based on audience segments associated to digital signage display units. A plurality of audience segments are stored in a memory of a computing device. Characteristics of a digital signage content are received by the computing device. The characteristics of the digital signage content and the plurality of audience segments are processed by a processing unit of the computing device, to identify potential placements for the digital signage content based on the characteristics of the digital signage content and the stored audience segments. The potential placements for the digital signage content are provided for bidding. Bids for the potential placements are received for the digital signage content and processed to identify the optimized placement for the digital signage content based on the characteristics of the digital signage content and bids received

Devices, computer-implemented methods, and computer-readable media for a redemption header for merchant offers, such as online coupons, are provided. In some embodiments, an offers website may provide offers, such as online coupons, in a browser executing on a user device. When a user selects an online coupon, the browser is redirected to a merchant website associated with the online coupon and a coupon code value is copied to a clipboard. Additionally, a redemption header having the coupon code and instructions is added in the merchant webpage. A webpage element for the redemption header, such as an inline frame, is created in the merchant webpage and the redemption header is provided based on an offer identifier stored in a browser-accessible storage item such as a cookie.

A system includes a set of crawlers that find and retrieve documents from an information network, an information extraction system, a knowledge graph storing nodes and edges that connect them, wherein each node represents a respective entity of a corresponding entity type of a plurality of entity types, and wherein the knowledge graph further stores event data relating to events detected by the information extraction system, a machine learning system that trains models that are used in connection with at least one of entity extraction, event extraction, recipient identification, and content generation, a lead scoring system that scores the relevance of information to an individual and references information in the knowledge graph, and a content generation system that generates content of a personalized message to a recipient who is an individual for which the lead scoring system has determined a threshold level of relevance.

An advertising system has limited computing resources to spend evaluating advertisements of advertisers to determine a “best” advertisement to serve to users of a social networking system. The computing resources are allocated (e.g., by varying the number of advertisements that are considered for presentation to a user) based on the neediness of the user and/or the advertiser on a per impression basis. The neediness of a user may be determined by grouping users into groups and determining a yield curve of expected revenue per computing resource used. Then, the revenue may be maximized across impression opportunities for multiple users. The neediness of an advertiser may be determined by biasing the selection of one advertiser's advertisements over another advertiser's advertisements based on an expected revenue, an expected number of interactions of the advertisement, or otherwise maximizing a satisfaction coefficient for the advertiser.

Systems and methods for the efficient generation and testing of promotions within a load to card environment are provided. A load-to-card abstraction layer collects store, user and offer data. The test promotions are then generated to span a design space of an offer. The user base is segmented and the test promotions are applied. The promotions include an offer, and the ability to load the offer for later redemption (load-to-card). Redemption and load rates are measured, and can be used individually, or in combination, to gauge consumer engagement with the promotion. Promotions with low consumer engagement may be discontinued, until only optimally performing promotions are remaining.