Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

An information processing device includes circuitry that detects a change in a position of a person. The circuitry also changes a position of a virtual sound source in accordance with the change in the position of the person and outputs a sound through wave field synthesis so that a spatial sound field is transmitted via a plurality of speakers.

An embodiment of the present disclosure provides a method using a computing device to initiate play of media within a medical examination or treatment room. The method may include: capturing a plurality of images by a one or more image capturers; determining whether any persons are within a predefined boundary area in one or more of the images using a face detector or person detector; determining whether any persons are outside of the boundary area in one or more of the images using the person detector; and initiating play of media when a first person is determined to be within the predefined boundary area and no persons are determined to be outside of the boundary area in the images.

Systems, methods, apparatuses, and computer programs encoded on a computer storage medium, allow for matching advertisements with content, with advertisement and content formats including text, image, audio, video, and animation, by means which may include expected demographic of content audience, content words, and visitor locations, and may provide the option to the advertiser to review a listing of the individual content that was matched for presentation of the advertisement, where the advertiser may disable presentation for selected content, as well as add presentation for additional content, and set bids on individual content, allowing content publishers to provide advertisers an unprecedented level of targeting, as well as more relevant content if producing content supporting desired advertiser targeting, all while providing the content audience more relevant advertisements.

A method of assigning advertisements to slots in video channels of a bundle of channels provided to an end user. The method includes managing credits, for each specific channel of the channels, indicative of a difference between a number of advertisements provided by an owner of the specific channel that were displayed on other channels and a number of advertisements provided by owners of other channels displayed on the specific channel In addition, scores indicative of a predicted success of the advertisement with the end user are calculated for a plurality of advertisements. An advertisement to be displayed to the end user is selected responsive to a function of both the calculated scores and the managed credits.

Aspects of the subject disclosure may include, for example, a device including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of identifying a user of the device; sending a record of content downloaded from a content provider by the device to a distributed virtual agent; and receiving an advertisement via the content provider, wherein the advertisement is selected by an ad fulfillment service responsive to information provided by the distributed virtual agent. Other embodiments are disclosed.

A method and a system for generating an interpretable embedding that corresponds to a sequence of events is provided. The method includes: receiving information that corresponds to a sequence of events that respectively correspond to interactions between a customer and an organization; determining, for each respective event, a respective product associated with the organization and a respective channel via which the event has occurred; assigning a respective sentiment to each event; computing a respective weight for each event; aggregating the computed weights with respect to the products and the channels; and using the aggregated weights to generate the interpretable embedding for the customer. The interpretable embedding is then usable for generating targeted offers to the customer, handling complaints, and preventing subsequent complaints.

A media enhanced shopping cart system comprises a shopping cart, a locationing component, and a display component for displaying at least one advertisement for a product based on the location of the shopping cart within the store, wherein the locationing component is further operable to determine a location of the product within the store relative to the shopping cart, and wherein the display component is further operable to display an indication of the location of the advertised product relative to the location of the shopping cart.

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.

Systems and methods are disclosed for online distribution of content based on a user sentiment index. The method may include receiving, over a network and from a user device, one or more user generated inputs and calculating the user sentiment index based on the one or more user generated inputs. The method may also include receiving, over the network, from a content or advertising provider, instructions on publishing content or advertising to a webpage based on the calculated user sentiment index, and publishing content for display on user devices over the network based on a comparison of the calculated user sentiment index and the received instructions.