Patent classifications
G06Q30/0263
Social platform promotion system and method
A computer-implemented method, computer program product, and computing system for receiving a social platform inquiry from a client; defining one or more client identifiers for the client; defining one or more identity-based conditions of the client based, at least in part, upon the one or more client identifiers; and recommending one or more social platforms based, at least in part, upon the one or more identity-based conditions.
Control System For Working Machine
A distributed control system for a working machine includes portable terminals for use by each consumer purchasing a working machine, by sales shops for selling the working machine to the consumers, and by a business department of a head office for selling the working machine to the sales shop and a network having at least a control support servers to which the portable terminals are connected via a wireless pathway. The portable terminals have functionality for registration of dates for a safety review, warranty start date, and initial inspection date.
Distributed promotional platform for promoting securities information
Systems and methods are provided for promoting securities information. The method includes: storing, in a memory, a database of securities information; indexing, using a processor, the database of securities information to enable a first user to search through the database of securities information; displaying, using a graphical user interface, a digital searching tool, wherein the first user is able to search through the indexed database on the graphical user interface using the digital searching tool; receiving, from the first user, using the graphical user interface, one or more filings selected from the indexed database; and transforming at least one of the selected filings into a shareable digital widget, wherein the widget, when shared, is configured to display a description of each of the at least one of the selected filings to one or more second users.
GENERATING CONTENT FOR A VIRTUAL REALITY SYSTEM
The disclosure includes a system and method for generating virtual reality content. For example, the disclosure includes a method for generating virtual reality content that includes a stream of three-dimensional video data and a stream of three-dimensional audio data with a processor-based computing device programmed to perform the generating, providing the virtual reality content to a user, detecting a location of the user's gaze at the virtual reality content, and suggesting an advertisement based on the location of the user's gaze. Another example includes receiving virtual reality content that includes a stream of three-dimensional video data and a stream of three-dimensional audio data to a first user with a processor-based computing device programmed to perform the receiving, generating a social network for the first user, and generating a social graph that includes user interactions with the virtual reality content.
Monetizing Downloadable Files Based On Resolving Custodianship Thereof To Referring Publisher And Presentation Of Monetized Content In A Modal Overlay Contemporaneously With Download
The monetization of downloadable files associated with a custodial host site based on resolving custodianship to a referrer publisher with subsequent presentation of monetized content within a modal overlay is disclosed. A request from a client device has a resource identifier and a referrer publisher identifier. The request for the downloadable file is evaluated against one or more publisher and custodianship policy rules, which relate to a file extension of the downloadable file, a format of the resource identifier, a custodial domain on which the downloadable file is stored, and a referral domain as specified in the referrer publisher identifier. When custodianship is resolved, a modal overlay on which monetized content is incorporated is presented on the client device. The modal overlay is concurrently displayed with the transfer of the downloadable file to the client device.
ONLINE ARTICLE HEADLINE GENERATION
A computer-implemented method includes identifying an electronically accessible article. A prospective access profile includes context information. The computer-implemented method further includes identifying, based on the context information, a target headline score range. The computer-implemented method further includes extracting an entity relationship graph from the article, identifying core entities, defining a subgraph, and expanding the subgraph by adding related entities, and selecting a headline template based on the subgraph. The computer-implemented method further includes filling the headline template to yield a headline, based on transforming at least one entity of the subgraph to place the headline within the target headline score range. The computer-implemented method further includes presenting the headline to the prospective access profile, monitoring access to the article to yield an access result, and feeding back information to the said prospective access profile. A corresponding computer program product and computer system are also disclosed.
Method and system for presenting targeted advertisements
A system and method may add to a web page a similar-content module which may contain information related to the context of the web page, may look like a portion of the web page, and may lead to a jump page which presents information in the similar-content module in more detail and contains an advertiser's advertisement or a link to an advertiser's web page. If a user is interested in the information in the similar-content module, he may click on the module and be sent to the jump page. Displaying the similar-content module will not cost any advertiser anything. A pay per impression advertiser will not be charged until its advertisement is displayed on the jump page, and a pay per click advertiser will not be charged until its link in the jump page is clicked on.
Suggesting Targeting Information For Ads; Such As Websites And/Or Categories Of Websites For Example
One or more keywords and/or information about one or more properties may be accepted, and a set of one or more taxonomy categories may be determined using at least some of the keyword(s) and/or property information and perhaps term co-occurrence clusters. The determined taxonomy categories may be presented to an advertising user as an ad targeting suggestion. Each taxonomy category may have at least one associated property (e.g., Web document), that participates in an advertising network. An advertiser selection of a suggested taxonomy category may be accepted, and the serving of an ad of the advertiser may be targeted to each property associated with the selected suggested taxonomy category. Alternatively, such properties may be presented to an advertising user as an ad targeting suggestion.
SYSTEM AND METHOD FOR PROVIDING CONTEXTUALLY APPROPRIATE OVERLAYS
A method and system for providing contextually appropriate overlays. The method includes causing the generation of at least one signature for each of at least one input multimedia content element, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata describing the concept; correlating the concepts represented by the generated signatures to determine at least one context of the at least one input multimedia content element; determining, based on the at least one context of the at least one input multimedia content element, at least one contextually relevant reference multimedia content element, wherein each contextually relevant multimedia content element has a context matching at least one of the determined at least one context above a predetermined threshold; and causing an overlay of the at least one contextually relevant reference multimedia content element on the at least one input multimedia content element.
SYSTEMS AND METHODS FOR DETERMINING CREDIBILITY AT SCALE
An example system may include instructions to control processor(s) to receive text from content of a first web page, determine, based on the content, a first title topic indicator, a first sentiment indicator, and a first text subjectivity indicator, apply the first title topic indicator, the first sentiment indicator, and the first text subjectivity indicator to a credibility machine learning model to generate a first content credibility score and a first content bias score for the text of the first web page, the credibility machine learning model being trained on text from other web pages using known title topic indicators, known sentiment indicators, and known text subjectivity indicators, and known credibility scores and bias scores, generate a first graphical representation for the first content credibility score and the first bias credibility score, and provide the graphical representation to a first digital device.