Abstract:
Disclosed is a system and method for suggesting messages that are automatically learned, personalized and diversified by leveraging messages sent by a large number of users in order to provide message completions that are as engaging as possible. The disclosed systems and methods learn from recurrent messages sent to a recipient, and suggest message completions based upon user behavior. The systems and methods compute a ranked list of suggested message completions after every key stroke or character input, and if the list satisfies a given confidence threshold, it is returned and displayed to the user.
Abstract:
Disclosed herein are systems and methods for displaying images and contextually relevant content on a digital content platform, such as a web page. In one embodiment, for example, the systems and methods include: (1) providing a publisher of the image with a reference script for publication with the image, wherein the reference script is a computer-readable instruction that causes an end-user device to call to a content server; and (2) configuring the content server to (a) receive a request for content from the end-user device, (b) identify content that is contextually relevant to the image, (c) deliver the content to the end-user device, and (d) deliver a computer-readable instruction that causes the end-user device to perform an animation that modifies the image and displays the content in a spatial relationship with respect to the image as originally published.
Abstract:
Software receives a communication from a smart-television device. The communication includes a device identifier, which is unique, for the smart-television device and a geo-location associated with the smart-television device. The software causes the smart-television device to display a first view that includes a visual icon along with a message identifying a connected-television service. The software receives a request from a mobile device to connect to the connected-television service. The request results in transmission of a geo-position from the mobile device. Upon determining that the geo-position of the smart-television device is proximate to the geo-location of the mobile device, the software causes the mobile device to display a second view that includes the visual icon for the device identifier. The software receives a communication from the mobile device that indicates a match between the visual icons. The software causes the smart-television device to display a user identifier received from the mobile device in a third view.
Abstract:
Techniques are provided that include obtaining a Document Object Model of an HTML document, such as a web page of a publisher. Elements of the Document object model may be identified that are associated with native advertisement placement candidate containers. Based at least in part on analysis associated with the Document Object Model, and utilizing at least some of the identified elements, one or more native advertisement placement candidate containers may be determined. Some techniques may utilize, in the analysis, identification of one or more secondary source HTML documents associated with a primary HTML document, and may identify, within the secondary source HTML document(s), content associated with native advertisement placement candidate containers of the primary HTML document(s).
Abstract:
System, method and architecture for providing improved visual recognition by modeling visual content, semantic content and an implicit social network representing individuals depicted in a collection of content, such as visual images, photographs, etc. which network may be determined based on co-occurrences of individuals represented by the content, and/or other data linking the individuals. In accordance with one or more embodiments, using images as an example, a relationship structure may comprise an implicit structure, or network, determined from co-occurrences of individuals in the images. A kernel jointly modeling content, semantic and social network information may be built and used in automatic image annotation and/or determination of relationships between individuals, for example.
Abstract:
Using the disclosed technology, a client device can receive a response from a real-time bidding engine of a real time bidding advertisement insertion system. The response includes information related to a video advertisement to be played by a video player at the client device. The client device can provide the video advertisement to a video player on the client device, execute a program associated with a third-party service provider and send a signaling to a destination provided by the third-party service provider to indicate occurrence of a predefined event as defined by the third-party service provider.
Abstract:
A system can throttle compression of instrumentation data related to a page view, by throttled scanning processes. Then that data can be communication over the Internet to a server effectively. The scanning of instrumentation data can be performed via batch processing; and therefore, data for compression may be maximized or throttled. The system can also accelerate the various caching options involved with the streaming of content items and ad items. For example, such items can be retrieved by the local and/or remote caches associated with the client-side application and/or the page view, prior to the items being requested by and/or presented to a user, via batch retrieval processes. These batch retrieval processes can also be combined with the batch scanning processes.
Abstract:
A content item categorizer system retrieves content items from Internet sources. If a retrieved content item includes sufficient information for traditional categorization methods, then the system assigns one or more categories to the content item using such traditional methods. The system creates a metadata model, based on information about traditionally-categorized content items, that maps at least hashtags from the content items to one or more content categories. When the system retrieves a sparse-info item that does not include sufficient information for traditional categorization, the system applies the metadata model to categorize the content item using at least hashtags in the sparse-info item. The metadata model may also include information indicating mappings between categories and coincidence of hashtags and additional content item attributes. Also, the metadata model may provide information for categorizing sparse-info items based on multiple hashtags in the sparse-info item metadata.
Abstract:
A seemingly infinite and continuous stream of online content can be tracked by a movement tracker that can track an amount of movement of a stream of content. For example, such a movement tracker can track the amount of movement per session of a client-side application, such as per session of a web browser. In an example, the tracking of the movement can occur by tracking a measurable parameter of the stream that indicates the amount of movement, such as scroll distance. The movement tracker may also be configured to determine user interaction data according to the tracked amount of movement.
Abstract:
Disclosed is a system and methods for data compression and decompression. The systems and methods discussed herein include an encoder, dictionary, decoder, literal string and control output. The discussed systems and methods encode data transmitted over a communications channel through the use of a dynamically compiled dictionary. Upon reviewing the characters within the transmitted data in view of the dictionary, an encoded/compressed output string is created. Such output string may also be decoded in a similar fashion via a dynamically compiled dictionary.