Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server, which identifies optimized potential suppliers based on the client's request. The request comprises search specification and preselected bidders. The server extracts a first set of keywords from the search specification and finds web pages of potential suppliers based on the first set of keywords. The server identifies the websites of the preselected bidders, extracts a second set of keywords from the websites, and finds web pages of more potential suppliers based on the second set of keywords. The server determines the web pages are associated with real suppliers by excluding non-supplier web pages. The server determines a similarity score for each potential supplier by vectorizing keywords extracted from the supplier's web pages. The server determines a risk score for each potential supplier. The server generates a GUI comprising a list of suppliers ranked based on the similarity scores.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server, which provides trigger-based personalized sales outreach based on a user's request. The request comprises a list of target companies/people. The server scans a variety of sources by web crawling the sources' web documents and finds news items relevant to the target companies/people. The server determines an importance score for each news item that measures the probability of a sales representative being interested in the news item. The server applies a set of filters comprising a network of neural networks to filter out false positives. The analytic server determines a relevancy score for each news item. The server generates a GUI to display the news items satisfying certain thresholds. Based on the user's selection on the news items, the server uses the news items as triggers of outreach and generates an electronic message template prepopulated with the news items.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server, which identifies optimized potential suppliers based on the client's request. The request comprises search specification and preselected bidders. The server extracts a first set of keywords from the search specification and finds web pages of potential suppliers based on the first set of keywords. The server identifies the websites of the preselected bidders, extracts a second set of keywords from the websites, and finds web pages of more potential suppliers based on the second set of keywords. The server determines the web pages are associated with real suppliers by excluding non-supplier web pages. The server determines a similarity score for each potential supplier by vectorizing keywords extracted from the supplier's web pages. The server determines a risk score for each potential supplier. The server generates a GUI comprising a list of suppliers ranked based on the similarity scores.

Abstract: A system and method for predicting and improving the healthcare decisions of a patient via predictive modeling. The system and method include receiving a request for a risk score; applying scoring data to a risk predictive model causing the risk predictive model to generate the risk score, the risk score indicative of a probability of the patient to access in-person medical care at a medical provider within a temporal window; determining that the risk score satisfies a criteria; and applying at least a subset of the scoring data to an impactability predictive model causing the impactability predictive model to generate an impactability score based on at least the subset of the scoring data, the impactability score indicative of a probability that the patient would not access the in-person medical care at the medical provider within the temporal window responsive to receiving a notification from the medical provider.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server, which provides trigger-based personalized sales outreach based on a user's request. The request comprises a list of target companies/people. The server scans a variety of sources by web crawling the sources' web documents and finds news items relevant to the target companies/people. The server determines an importance score for each news item that measures the probability of a sales representative being interested in the news item. The server applies a set of filters comprising a network of neural networks to filter out false positives. The analytic server determines a relevancy score for each news item. The server generates a GUI to display the news items satisfying certain thresholds. Based on the user's selection on the news items, the server uses the news items as triggers of outreach and generates an electronic message template prepopulated with the news items.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server, which receives a request from a client's electronic device to optimize one or more media elements in an optimization zone of a web page. The server may receive a slideshow or a video and determine a candidate media dataset based on images from the slideshow or video. Alternatively, the server may receive an article and determine the candidate media dataset by searching images related with key words in the article. The server may modify the markup code of the web page and publish the media element within the candidate media dataset in the optimization zone. The server may further query the click-through rate (CTR) associated with each published media element. Based on the CTR results, the server update the rendering rate of each media element to produce the maximum CTR.

Abstract: A warp-knitted textile fabric adapted for use in activewear apparel and characterized by a matte surface effect, resistance to snagging, and relatively uniform stretchability in widthwise and lengthwise directions, the fabric having a three-bar warp knitted structure comprised of first and second sets of body yarns and a third set of elastic yarns interknitted in a Raschel-type stitch pattern wherein one of the sets of body yarns is knitted in a double needle overlap pattern.