Disclosed herein are systems, methods, and apparatuses that can provide, for example, dynamic page feed recognition for providing zero-configuration analysis of web pages and tailored advertisement provision to website visitors. The systems, methods, and apparatuses can be used to analyze inventory feed. Based on analysis of user interaction data on the web pages, one or more matching methodologies can be used to determine matching data between the visited web pages and the inventory feed.

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines, each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit to determine an amount of a resource for each of the machines to service the task requirement for each machine, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the forward resource market.

This document describes the 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. Specifically, the disclosed devices and systems may be employed to produce one or more marketing and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating user engagement, thereby accurately determining the cost benefits of the campaign. The analytic results provided may then be used to guide the generation of original web content, such as for the purposes of enhancing customer or follower experience, driving business, and for driving advertising campaigns. Alternatively, web content that is in the public domain, and determined to perform well, can be reproduced, referenced, or otherwise referred to, in the context of promoting or presenting the user's web content.

A computer-implemented method for generating content recommendations for content items, each content item associated with one of a plurality of customers, the method comprising: receiving, by a network-connected server, a content request from a requesting user, the content request comprising a user identifier and a customer identifier; retrieving request parameters from a computer-implemented parameter service, the request parameters comprising indicia of a plurality of models and parameters for the models; retrieving user data comprising a set of indicia of recommendable resources associated with the customer identifier; routing the content request, request parameters and user data to a plurality of ranking and optimization component, each component generating a recommendation score for each recommendable resource; generating content recommendations based on the recommendation score which content recommendations are returned to the requesting user and stored by the server as a recommendation event within a repository of recommendation events; evaluating the relative efficacy of the one or more components, which models are returned to the requesting user and stored by the server as a recommendation event within a repository of recommendation events; evaluating the relative efficacy of the one or more components through continued usage; optimizing model efficacy by updating parameters within the parameter service based on the relative efficacy.

Described herein is a method and system for generating product descriptions of vehicles. A request for a customized vehicle publication is received, which includes at least a vehicle type, a set of standard features, and a set of optional features. One or more story templates associated with the vehicle type input are automatically received, where each of the story templates have populatable fields corresponding to the vehicle type, the set of standard features, and the set of optional features. The story templates have a theme correlated to usage of a vehicle having the vehicle type. A selection of a story template is received, and the vehicle characteristics are automatically populated. The completed vehicle product description is then provided.

A method for comparing decision options automatically determines factors for a set of decision options. Each of the factors defines a respective attribute of the set of decision options. The method provides the factors to a graphical user interface. The method receives a user preference value for at least one factor. The method then normalizes an attribute value of each factor. The method calculates a user preference score for each decision option as a function of the user preference value and the normalized attribute value for each factor. The method ranks the set of decision options based on the calculated user preference score for the subject decision option relative to each other decision option of the set of decision options. The method provides a ranked list of the set of decision options to the graphical user interface in response to ranking the set of decision options.

A method for comparing decision options automatically determines factors for a set of decision options. Each of the factors defines a respective attribute of the set of decision options. The method provides the factors to a graphical user interface. The method receives a user preference value for at least one factor. The method then normalizes an attribute value of each factor. The method calculates a user preference score for each decision option as a function of the user preference value and the normalized attribute value for each factor. The method ranks the set of decision options based on the calculated user preference score for the subject decision option relative to each other decision option of the set of decision options. The method provides a ranked list of the set of decision options to the graphical user interface in response to ranking the set of decision options.

A system that incorporates teachings of the present disclosure may include, for example, a processing system that analyses, without user intervention, content of a first message directed from equipment of a sending user to equipment of a receiving user, to identify a task. The processing system determines that the receiving user is unable to perform the task according to biometric data of the receiving user. The biometric data is selected from one of heart rate, blood pressure, respiratory rate, and combinations thereof. According to the content of the first message and the biometric data obtained from the receiving user, the processing system determines that the task should be delegated to another user, and responsive thereto, provides a second message associated with the task to equipment of the other user. Other embodiments are disclosed.

A system that incorporates teachings of the present disclosure may include, for example, a processing system that analyses, without user intervention, content of a first message directed from equipment of a sending user to equipment of a receiving user, to identify a task. The processing system determines that the receiving user is unable to perform the task according to biometric data of the receiving user. The biometric data is selected from one of heart rate, blood pressure, respiratory rate, and combinations thereof. According to the content of the first message and the biometric data obtained from the receiving user, the processing system determines that the task should be delegated to another user, and responsive thereto, provides a second message associated with the task to equipment of the other user. Other embodiments are disclosed.

Disclosed examples include accessing a search term from a client device; accessing a first identifier, the first identifier corresponding to a first database proprietor, the first identifier to access first user information corresponding to a user of the client device; accessing a second identifier, the second identifier corresponding to a second database proprietor, the second identifier to access second user information corresponding to the user of the client device; providing the search term, the first identifier, and the second identifier in a message; and transmitting the message to a server.