Patent classifications
G06Q30/0243
System and Method for Displaying and Analyzing Interface Variants for Concurrent Analysis by a User
Systems and methods are disclosed for presenting images of multiple, variant user interfaces along with corresponding metrics for concurrent comparison by a user. Client interfaces allow a client to interact with an underlying system and/or application. Examples of client interfaces include webpages that are presented to a client in a client/server system. Embodiments of the disclosed system and method allows user interface designers to directly compare images of variants of a user interface and corresponding metrics with images of one or more other variants on a display. In at least one embodiment, an image of a variant and corresponding metrics are designated as a control against which images of other variants and corresponding metrics are directly compared on the display.
Dynamic Automated Real-Time Management of Virtual Interviews between Job Providers and Qualified Job Seekers
Automatically managing virtual real-time online interviews between a job provider and qualified job seekers, including (i) receiving a request to automatically enable virtual real-time online interviews for a job listing with predetermined criteria between the job provider representative and job seekers meeting qualifications, (ii) responsive to receipt of the job provider interview request, automatically posting the job listing online, (iii) responsive to a job seeker requesting an online interview for the posted job listing, automatically determining whether job seeker qualifications meet the criteria, (vi) responsive to a positive determination, automatically placing the job seeker in a queue for interviewing regarding the job listing, (v) receiving a request to activate a virtual real-time online interview session with a job seeker in the queue, (vi) and activating an audio and visual connection between the interviewer computer system and the second computer system to conduct the virtual real-time online interview session.
Resume Document Parsing using Computer Vision and Optical Character Recognition with Reblocking Feedback
Systems and methods are disclosed for parsing resume documents using computer vision and optical character recognition technology in combination with a user feedback interface system to facilitate user feedback to improve the overall processing quality of the resumes that are imported into computer resume processing systems. In at least one embodiment, the system and method prompt a user to upload an input resume document, which is processed with a first parsing pass to generate initial resume data by extracting a plurality of resume text blocks. Further processing identifies an initial set of bounding blocks and to visually displays the initial resume data for user review and feedback to regroup one or more of the initial set of bounding blocks into a regrouped bounding block. Additional processing consolidates into a group text block each of the resume text blocks corresponding to the regrouped one or more of the initial set of bounding blocks.
MANAGING IMPRESSIONS OF AN ADVERTISEMENT CAMPAIGN
The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.
MANAGING IMPRESSIONS OF AN ADVERTISEMENT CAMPAIGN
The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.
METHOD, REFERRAL SERVER AND NETWORK FOR PROVIDING A TARGETED ADVERTISEMENTS TO USERS
For providing a targeted advertisement to a user, a referral server sends, to a financial platform server, a request for fetching the financial information of the user. The referral server receives, from the financial platform server, a reply containing the financial information of the user. The referral server analyses the financial information of the user to determine one or more behavioural attributes of the user. The referral server uses the one or more behavioural attributes of the user to define a behavioural profile of the user. The referral server may send to a device of the user a code sequence related to a marketing campaign selected according to the behavioural profile of the user. The marketing campaign may be selected by calculating a conversion rate for each of a plurality of marketing campaigns.
METHOD AND SYSTEM FOR ELECTRONIC ADVERTISING
A method of delivering advertising in an online environment includes determining a context of a user operating a client computer to interact with an e-commerce website, where the determined context representing an intent of the user to locate a product for purchase, defining a relation between one or more of a plurality of advertisements and the product based on at least one of a plurality of relevance types, and displaying, to the user, at least one of the advertisements having the relation to the product.
Content item slot location suggestions
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content items. In one aspect, a method includes receiving user interaction data specifying user interactions with a publisher resource. A heat map specifying levels of user interaction with various portions of the publisher resource is created. Content item slot performance information specifying one or more performance measures for content items presented in various candidate content item slot locations are identified. One of the candidate content item slot locations is selected based on the heat map and the one or more performance measures. Data that cause presentation of suggestion information that identify the one candidate content item slot location as a suggested content item slot location are generated and output.
SYSTEM AND METHOD FOR GENERATING PURCHASE RECOMMENDATIONS BASED ON GEOGRAPHIC ZONE INFORMATION
Embodiments provide computer apparatuses, computer systems and computer-executable methods for recommending a commercial item or entity to a consumer based on geographic zone data. The method includes receiving a first predetermined geographic zone, a first importance score associated with a consumer for the first predetermined geographic zone, and a second importance score associated with a commercial item or entity for the first predetermined geographic zone. The method also includes programmatically generating an overlap score based on the first and second importance scores, and programmatically generating a relevancy score based on the overlap score, the relevancy score indicating a probability that the commercial item or entity is of relevance to the consumer. The method further includes, based on the relevancy score, transmitting instructions to a computing device associated with the consumer to cause the computing device to render a representation of the commercial item or entity.
PERFORMING INTERACTIVE UPDATES TO A PRECALCULATED CROSS-CHANNEL PREDICTIVE MODEL
A computer-implemented method, simulation and prediction system, and computer program product for advertising portfolio management are disclosed. An example method includes simulating, by executing a first simulated model utilizing a weight matrix, a first user provided scenario of an advertising campaign and collecting time series stimulus data and time series response data for marketing channels of the advertising campaign. The example method also includes reducing computational resource consumption associated with generating an updated version of the first simulated model by applying the time series stimulus data and the time series response data to the first simulated model to generate a second simulated model and simulating, by executing the second simulated model, a second user provided scenario of the advertising campaign to determine an effect of a change in a marketing media spend value of a first marketing channel on other ones of the marketing channels of the advertising campaign.