A computer-implemented method for identifying, among user electronic devices, customer electronic devices associated with genuine customers of organizations, the method being executed by a server, the method comprising: receiving, from a first user electronic device by the server, a first uniform resource locator (URL) of a first user browsing history; generating a first embedding corresponding to the first URL; comparing the first embedding with a template embedding of a plurality of template embeddings, the plurality of template embeddings having been retrieved from a genuity database; and in response to a difference between the first embedding and the template embedding being lower than an embedding difference threshold, adding the first embedding to the genuity database.

A computer-implemented method for identifying, among user electronic devices, customer electronic devices associated with genuine customers of organizations, the method being executed by a server, the method comprising: receiving, from a first user electronic device by the server, a first uniform resource locator (URL) of a first user browsing history; generating a first embedding corresponding to the first URL; comparing the first embedding with a template embedding of a plurality of template embeddings, the plurality of template embeddings having been retrieved from a genuity database; and in response to a difference between the first embedding and the template embedding being lower than an embedding difference threshold, adding the first embedding to the genuity database.

The present invention is a method for developing and providing a personalized distilled spirit, or other beverage, to a user who responds to a collection of stimulus in the form of taste samples, smell samples, written, and/or visual representations. The user's responses to the stimulus may be compared to expert responses in a database to create a recommended recipe resulting in one or more customized product samples being either physical products or written/visual responses in the form of tasting notes or a flavor map, for example. The user can then modify their customized spirit, repeating the process as many times as they wish and then submit for the production and purchase of the recipe based on an array of spirits or other beverages that is then combined using a blending machine.

A mobile application and system for users to gather information regarding bars, restaurants, and other establishments. The system allows users of a mobile application to search details specific in real-time information about local bars and restaurants. Managers can update information in real time regarding detail specific information of the bar or restaurant at any given time. For example, a user can search if a bar or restaurant has free Wi-Fi, keno/lottery, happy hour, kitchen open late, group discounts, and/or no cover. The user is permitted to search if the establishment has karaoke, live music, piano bar, comedy, trivia, jukebox, DJ, open mic and/or adult entertainment. The user can search if the establishment has dancing, a rooftop bar, waterview, patio, deck, fireplace, LGBTQ friendly, pet and/or kid friendly. The bar manager updates these criteria in information in real-time enabling a user to search the most up-to-date information about an establishment.

Systems and methods are disclosed for warranty recommendations for users based upon warranty selections of peer users. The users are clustered into peer groups based upon industry or market segment based upon user data including primary variables, such as workload type data and market segment data, and secondary variables, such as virtual machine size or number, cluster size, cost, and downtime. New users are matched to a top similar user within their peer group based upon a vector distance, wherein the vector comprises the primary and secondary variables. A current warranty of the top similar user is recommended to the new user. Warranty changes by members of a peer group cause trigger an updated ranking of the peer group warranties. Expert user comments and rankings are used to generate expert user recommendations. A cost-based impact assessment may also be used for warranty recommendations by highlighting favorable and unfavorable warranty properties.

One example method includes generating personalized content for online sales. Recorded calls and other sources are converted to text. The text is semantically processed and correlated with customer data including customer order data to identify content that impacted the purchase of a product. The content may be incorporated into an online product page to facilitate online sales.

This document describes the autonomous collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications in an automatic and autonomous manner. Specifically, the disclosed methods, devices, and systems may be employed to produce one or more communications and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating predicted user engagements, thereby accurately determining the cost benefits of the communication campaign. The system may track, evaluate, and provide analytic results that may then be used to better guide the system parameters for customizing autonomous communications directed one or more characteristics of a defined target audience.

A user may request a recommendation for an item from other users. Other users may respond to the request by recommending for or against items. Users may up-vote or down-vote the recommendations or responses of other users. The recommendations of the other users may be used to identify items and provide one or more recommendations to the requesting user. The original question and the responses may form a conversation thread. The recommendations may be inserted into the thread as responses, may be presented alongside the thread, or may be presented at the end of the thread. The recommendations may be based on one or more attributes of the user. The weight of the recommendations provided by other users may vary.

A user may request a recommendation for an item from other users. Other users may respond to the request by recommending for or against items. Users may up-vote or down-vote the recommendations or responses of other users. The recommendations of the other users may be used to identify items and provide one or more recommendations to the requesting user. The original question and the responses may form a conversation thread. The recommendations may be inserted into the thread as responses, may be presented alongside the thread, or may be presented at the end of the thread. The recommendations may be based on one or more attributes of the user. The weight of the recommendations provided by other users may vary.

A multi-vendor risk relationship data store may contain electronic records representing a plurality of risk relationships between multiple vendors and an enterprise and, for each risk relationship, an electronic record identifier and a set of attribute values. An information sharing portal computer server may exchange an information request with a remote vendor platform. The information request may be, for example, associated with an employee of a sponsor associated with the vendor platform. The server may process the information request via a customized vendor-specific information sharing portal interface display and execute an algorithm to adjust, based on at least one attribute value, interactions with the vendor platform via the portal interface display. The server may also aggregate information associated with a plurality of vendor platforms and transmit the aggregated information to a remote administrator device associated with the enterprise.