Abstract: A system and method for generating a digital media plan. The method includes extracting advertisement features from an advertisement image; generating at least one prompt for a campaign dimension based on one or more of the extracted advertisement features; feeding the at least one prompt for each respective campaign dimension based on one or more extracted advertisement features to a target large language model; receiving responses to the prompts of the target large language models; and aggregating the answers to generate a digital media plan.

Abstract: A system and method for centralized crawling and extracting data points of a webpage using a centralized crawler system is provided. The method includes crawling requested webpage data, wherein the requested webpage data is selected based on a plurality of rules and includes a hypertext markup language (HTML) layer and metadata of a requested webpage; extracting at least one data point that indicate a main element that describes contents of the requested webpage; generating at least one enriched data point that provides additional information on the at least one extracted data point, wherein the additional information is collected from a plurality of data analysis systems (DASs); and creating a structured dataset of the requested webpage data based on the at least one extracted data point.

Abstract: A method and system for remotely detecting a heart-related condition is presented. The method includes receiving a facial image of a patient, wherein the facial image is retrieved from a data store and captured from the patient; extracting at least one facial feature from the facial image of the patient, wherein the at least one facial feature is represented as numerical descriptors of facial attributes, wherein the numerical descriptors include surface features of the at least one facial feature; and classifying the extracted at least one facial feature using a classifier, wherein the classifier maps the extracted at least one facial feature to at least one score indicative of a stage of the heart-related condition.

Abstract: A method and system for enriching bid requests for real-time bidding on a digital advertisement placement are provided. The method comprises processing a received bid request to extract at least one data point, wherein the bid request is received from a website requesting placement of a digital advertisement; causing generation of at least one enriched data point based on the at least one extracted data point; and associating the at least one enriched data point with the received bid request to allow a refined real-time bidding on a placement of a digital advertisement in a webpage of the website in response to the bid on the received bid request.

Abstract: A method and system for remotely detecting a heart-related condition is presented. The method includes receiving a facial image of a patient, wherein the facial image is retrieved from a data store and captured from the patient; extracting at least one facial feature from the facial image of the patient, wherein the at least one facial feature is represented as numerical descriptors of facial attributes, wherein the numerical descriptors include surface features of the at least one facial feature; and classifying the extracted at least one facial feature using a classifier, wherein the classifier maps the extracted at least one facial feature to at least one score indicative of a stage of the heart-related condition.

Abstract: A method and system for remote diagnosis of a congestive heart failure in humans is presented. The method includes receiving a facial image of a patient, wherein the facial image is retrieved from a data store and captured from the patient; extracting, from the facial image, at least one facial feature indicative of a heart condition; classifying the extracted at least one facial feature using a classifier, wherein the classifier maps a plurality of candidate facial features to a plurality of scores indicating a stage of the heart condition; and determining a positive diagnosis and the stage of the heart condition of the patient based on the plurality of scores.

Abstract: A system and method for optimizing media targeting for placement of digital advertisements. The method includes creating, based on a performance goal and historical data, a first dynamic category version that includes at least one category attribute; identifying at least one first matching advertisement (ad) request based on the first dynamic category version, wherein the at least one first matching ad request is bid on for placement of advertisements; in response to the placement of advertisements, gathering feedback data on performance of served advertisements; identifying, based on the gathered feedback data, at least one potential category attribute; updating the first dynamic category version to create a second dynamic category version based on a portion of the identified at least one potential category attribute; and identifying at least one second matching ad request for bidding based on the second dynamic category version.

Abstract: A method and system for generating a classifier to classify facial images for cognitive disorder in humans. The system comprises receiving a labeled dataset including set of facial images, wherein each of the facial image is labeled depending on whether it represents a cognitive disorder condition; extracting, from each facial image in the set of facial images, at least one learning facial feature indicative of a cognitive disorder; and feeding the extracted facial features into a to produce a machine learning trained model to generate a classifier, wherein the classifier is generated and ready when the trained model includes enough facial features processed by a machine learning model.

Abstract: A method and system for enriching bid requests for real-time bidding on a digital advertisement placement are provided. The method comprises processing a received bid request to extract at least one data point, wherein the bid request is received from a website requesting placement of a digital advertisement; causing generation of at least one enriched data point based on the at least one extracted data point; and associating the at least one enriched data point with the received bid request to allow a refined real-time bidding on a placement of a digital advertisement in a webpage of the website in response to the bid on the received bid request.

Abstract: A method and system for remote diagnosis of a congestive heart failure in humans is presented. The method includes receiving a facial image of a patient, wherein the facial image is retrieved from a data store and captured from the patient; extracting, from the facial image, at least one facial feature indicative of a heart condition; classifying the extracted at least one facial feature using a classifier, wherein the classifier maps a plurality of candidate facial features to a plurality of scores indicating a stage of the heart condition; and determining a positive diagnosis and the stage of the heart condition of the patient based on the plurality of scores.

Abstract: A method and system for generating a classifier to classify facial images for cognitive disorder in humans. The system comprises receiving a labeled dataset including set of facial images, wherein each of the facial image is labeled depending on whether it represents a cognitive disorder condition; extracting, from each facial image in the set of facial images, at least one learning facial feature indicative of a cognitive disorder; and feeding the extracted facial features into a to produce a machine learning trained model to generate a classifier, wherein the classifier is generated and ready when the trained model includes enough facial features processed by a machine learning model.

Abstract: A method and system for remote diagnosis of a cognitive disorder in humans are provided. The system comprises receive, over a network, at least one facial image of a patient; extracting, from the at least one facial image, at least one facial feature indicative of a cognitive decline; classifying the at least one extracted facial feature using a classifier, wherein the classifier maps a plurality of candidate facial features to a score indicating a stage of a cognitive decline; and determining a positive diagnosis of a cognitive decline of the patient, based on the score provided by the classifier in response to the at least one extracted facial feature.

Abstract: A method and system for remote diagnosis of a cognitive disorder in humans are provided. The system comprises receive, over a network, at least one facial image of a patient; extracting, from the at least one facial image, at least one facial feature indicative of a cognitive decline; classifying the at least one extracted facial feature using a classifier, wherein the classifier maps a plurality of candidate facial features to a score indicating a stage of a cognitive decline; and determining a positive diagnosis of a cognitive decline of the patient, based on the score provided by the classifier in response to the at least one extracted facial feature.

Abstract: A system and method for generating recommendations for improving online advertising success of an image-based advertisement are provided. The method includes identifying at least one visual characteristic of the advertisement; classifying the advertisement into at least one advertisement category based on the identified at least one visual characteristic; analyzing a plurality of advertisements belonging to the at least one advertising category to identify at least one visual characteristic associated with successful advertisements; generating at least one recommendation for improving the image-based advertisement based on the identified at least one successful advertisement visual characteristic.

Abstract: A method and system for allowing targeted bidding for online advertisements are provided. The method includes causing an emulation of an emulated bidder for bidding on a placement of an advertisement in a webpage; receiving, from the emulated bidder, a current bid identifier associated with the placement; causing, in real-time, a comparison of the current bid identifier to at least one stored bid identifier, wherein each stored bid identifier is associated with stored target information; receiving target information of the webpage, wherein the received target information is identified based on the comparison, wherein the received target information is related to targeted advertising for the webpage; and sending the target information of the webpage to at least one other bidder that is bidding on the placement.

Abstract: A system and method for verifying ad-impressions of online advertisements are provided. The method includes receive an ad-impression; determining an impression source of the received ad-impression; comparing the determined impression source to a non-advertisement-serving web-source (NASW) list, wherein the NASW list contains at least one web-source that does not display online advertisements; determining whether the impression source matches a web-source listed in the NASW list; and upon determining a match, identifying the received ad-impression as fraudulent.

Abstract: A system and method for generating recommendations for improving online advertising success of an image-based advertisement are provided. The method includes identifying at least one visual characteristic of the advertisement; classifying the advertisement into at least one advertisement category based on the identified at least one visual characteristic; analyzing a plurality of advertisements belonging to the at least one advertising category to identify at least one visual characteristic associated with successful advertisements; generating at least one recommendation for improving the image-based advertisement based on the identified at least one successful advertisement visual characteristic.

Abstract: A method and system for criteria-based advertisement blocking are presented. The method comprises receiving blocking criteria of an advertisement to be displayed in a web page and information identifying the web page; analyzing the identifying information to determine at least one blocking factor associated with the web page, wherein the identifying information includes at least a uniform resource locator (URL) of the web page; determining, based on the at least one blocking factor, whether the blocking criteria have been met; and automatically blocking a display of the advertisement in the web page, when the blocking criteria have been met.

Abstract: Certain embodiments relate to identifying potentially fraudulent interactions with online content. An analytical application executed on a server or other computing device can identify first and second actives areas of an electronic content item that are distinguishable from one another based on a sensory indicator presented with the electronic content item. One or more actions may be performed in response to receiving inputs to the first active area or the second active area. The analytical application can receive inputs to the electronic content item from an entity. At least a subset of the inputs can include interactions that are received within the second active area rather than the first active area. The analytical application can determine that activity by the entity is anomalous based on the subset of the interactions being within the second active area rather than the first active area.

Abstract: A computerized method and system for cross-platform management of advertisement serving are provided. The method includes receiving a request for a first advertisement from a first user device; serving the first advertisement to the first user device; receiving a request for a second advertisement from a second user device; serving the second advertisement to the second user device, wherein each of the first advertisement and the second advertisement comprises an advertisement area and an engagement area; determining, based on the first advertisement and the second advertisement, if the first user device and the second user device are used by a same user; and generating at least an entry in a registrar of a database to associate the first user device and the second user device with the same user.