Abstract: Systems and methods are provided for generating and provisioning personalized news feeds for athletes. One embodiment is a system that receives metrics for exercise activities performed by athletes. The system generates records of the exercise activities of the athletes based on the metrics, determines a type of exercise for each record, classifies the records based on corresponding types of exercise, and compiles a fitness history, for each athlete, comprising records of exercise activities performed by the athlete. For each of the athletes, the system generates a digital news feed for the athlete, identifies categories of engagement for the athlete based on types of exercise indicated in the fitness history of the athlete, selects articles from a repository, personalizes the digital news feed for the athlete by populating the digital news feed with the selected articles, and transmits the digital news feed to a user device.

Abstract: A system and method for providing personalized recommendations or promotional information to consumers based upon a recommendation algorithm selected from a number of recommendation algorithms, by matching personal contextual information of each consumer to detailed contexts in which each recommendation algorithm exhibits optimal performance with regard to particular business performance measures.

Abstract: A shared vehicle management device manages shared vehicles located in an area where a user is present. The area includes multiple zones differing from one another, and each of the zones includes one or more parking lots. The shared vehicle management device includes a controller configured to prompt the user to select a zone including a parking lot where the user will start use of a shared vehicle or return the shared vehicle, a use history acquisition unit, a demand calculator, a supply calculator, and a zone setting unit configured to determine the parking lots included in each zone so as to minimize a value obtained by adding differences between the demand for shared vehicles and the supply of shared vehicles in each zone included in the area.

Abstract: An educational guide module including a reward system for a virtual storage system in data communication with a user computing device via a communication network, the virtual storage system includes at least one processor receiving from the user computing device, a selection of at least one of an education guide or the reward system corresponding to the virtual storage system, as input by a user, performing at least one instructional guide operation to instruct the user on operation of the virtual storage system, when the education guide is selected, and performing a reward operation to provide a reward to the user when the reward system is selected. The performance of the reward operation includes displaying at least one question to the user, receiving information input by the user as an answer to the at least one question, storing the information received, and calculating points based on the information received, and wherein the points are used to redeem a reward within the virtual storage system.

Abstract: 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.

Abstract: Systems and methods are provided for supplying a video advertisement to a web page or application. A main ad server provides an ecosystem to network ad servers from different ad networks. The main ad server can collect and store information about each of the demand tags associated with each of the network ad servers in a database. The main ad server can then review the database in response to an ad call from a publisher to generate an ordered list of the demand tags that correspond to the ad call. The main ad server can then determine if any of the demand tags in the ordered list has a corresponding video header bidding tag and initiate an auction process for all of the demand tags in the ordered list that have a video header bidding tag. The ordered list of demand tags can then be updated based on the results of the auction process.

Abstract: Databases storing digital fingerprints of physical objects enable enhanced security and collaborative authentication. Digital fingerprints enable reliable identification of an object without the need for attaching or associating physical tags, labels or other identifying materials with the object; and serialization for identification also is obviated. By combining digital fingerprinting and data collaboration in one process, parties to the data collaboration can gain a level of certainty that data attributed to an object by different parties or at different times is attributed to only that object and not erroneously attributed to an incorrect or counterfeit object. Collaborative authentication platforms and processes, combining digital fingerprint databases with associated incentive databases, contribute enhanced information to the authentication databases, and provide unparalleled reliability and enriched metadata to supply chain tracking, detecting counterfeit objects, and other applications.

Abstract: Described is a system for learning and predicting key phrases. The system learns based on a dataset of historical forecasting questions, their associated time-series data for a quantity of interest, and associated keyword sets. The system learns the optimal policy of actions to take given the associated keyword sets and the optimal set of keywords which are predictive of the quantity of interest. Given a new forecasting question, the system extracts an initial keyword set from a new forecasting question, which are perturbed to generate an optimal predictive key-phrase set. Key-phrase time-series data are extracted for the optimal predictive key-phrase set, which are used to generate a forecast of future values for a value of interest. The forecast can be used for a variety of purposes, such as advertising online.

Abstract: A computer-implemented method for determining auction prices of vehicles may include obtaining wholesale auction price data indicative of wholesale auction prices and vehicle attribute values of a plurality of vehicles; grouping the plurality of vehicles into a plurality of vehicle groups respectively associated with a plurality of characteristics; determining a plurality of regression models respectively based on the plurality of vehicle groups; obtaining information describing a target vehicle; based on the target-vehicle values and values for the one or more economic indicators, determining an estimated wholesale auction price of the target vehicle using an identified regression model of the plurality of regression models; determining a discount factor representing an expected discount of a post-repossession auction price of the target vehicle from the estimated wholesale auction price; and determining an estimated post-repossession auction price of the target vehicle based on the estimated wholesale aucti

Abstract: Methods, computer-readable media, systems, and/or apparatuses for providing offer and insight generation functions are provided. For instance, user input may be received requesting generation of an offer. In response to receiving the request, an application may be transmitted to a device, such as a mobile device of a user. In some examples, the application may be executed by the device and may facilitate establishing a communication session with a third party system, identifying and extracting data from the third party system, and transmitting the extracted data to an entity for evaluation. In some examples, evaluation by the entity may include generating one or more insights, outputs and the like. In some arrangements, the evaluation may be performed using machine learning and, in some examples, may be performed in real-time or near real-time.

Abstract: Systems for determining a price of goods, reducing food waste, optimizing markdowns for the goods, and controlling prices of the goods in a retail setting are described. A scanner scans a readable identification tag affixed to a good during a time period. A pricing engine of at least one server queries, dynamically and in real-time, a database to identify, from the readable identification tag, the good and the information associated with the good. The pricing engine then applies algorithms to the identified good to calculate a price of the good and modify the calculated price of the good during the time period to optimize a target function. The optimization of the target function depends on price-calculation factors associated with a shelf-state of the good and associated with a future stock of the good. At least one calculated price based on the expiration date of the good is displayed.

Abstract: An online host for conducting a promotion campaign is presented. Online behaviors of subscribers exposed by the promotion campaign are tracked for determining conversion counts for the promotion campaign. For exposed subscribers whose online behaviors are not sufficiently available to the online host to determine conversion counts (non-measurable subscribers), a machine learning model is trained to predict conversion counts based on online behaviors that are conducted on internet locations under control of the online service, and further trained to determine an estimated error rate regarding the predicted conversion counts.

Abstract: Disclosed herein are methods and systems for intelligent and personalized advertisement in an augmented reality environment. In particular, a plurality of integrated images of an extracted real-life object in a virtual environment is provided at a server to a user. The plurality of integrated images comprises one or more advertisement elements that are determined using a comprehensive content matching mechanism. The comprehensive content matching mechanism is based on a plurality of factors intelligently determined and personalized comprising advertisement content, user preference information, and context information.

Abstract: The disclosure provides a method for predicting a user object in a real time bidding and an advertisement server. The method includes: obtaining telecommunication data, and building a user behavior model based on the telecommunication data by using at least one of machine learning algorithms; receiving a bid request comprising an advertisement identifier which does not have at least one of an identifier field of a certain user object and an advertisement-related identifier from an advertising trading platform; and predicting a first candidate identifier of a first user object corresponding to the bid request according to the advertisement identifier through the user behavior model.

Abstract: Intelligent incentives for invoice payment are described. In an example, transaction data can be received from a device operable by a seller associated with a service provider and via a network transmission between the device and server computing device(s) associated with the service provider. The transaction data can be associated with a transaction between a buyer and the seller. The server computing device(s) can access, from a datastore associated with the server computing device(s) and based at least in part on receiving the transaction data, seller information associated with the seller and, based at least in part on the transaction data and the seller information, the server computing device(s) can generate an invoice for the transaction, wherein at least one term of the invoice is adaptable based at least in part on an operating condition of the seller.

Abstract: The present disclosure is directed to systems and methods for determining one or more incentives for a user. For example, a method that may include: receiving a selection of an objective from among a plurality of objectives from a user via a client device; presenting, based on the selected objective, one or more incentives from among a plurality of incentives to the user, the plurality of incentives being based on a machine learning model trained to determine the plurality of incentives based on past purchases; receiving a selection of at least one of the one or more incentives from the user via the client device; and determining whether to allocate the selected one or more incentives based on a performance of the user.

Abstract: In general, this specification relates to content presentation. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of presenting an ad within a mobile application interface of a mobile device; receiving a user selection of the ad; determining that a browser session is to be initiated in response to the user selection of the ad; generating a request URL, using one or more processors, where the request URL includes a device identifier for the mobile device; and submitting the URL request using the browser including: determining whether an ad cookie associated with the ad exists on the browser, and if the cookie associated with the ad exists, sending an ad cookie identifier along with the request. Other embodiments of this aspect include corresponding systems, apparatus, and computer program products.

Abstract: A real-time messaging platform allows advertiser accounts to pay to insert candidate messages into the message streams requested by account holders. To accommodate multiple advertisers, the messaging platform controls an auction process that determines which candidate messages are selected for inclusion in a requested account holder's message stream. Selection is based on a bid for the candidate message, the message stream that is requested, and a variety of other factors that vary depending upon the implementation. The process for selection of candidate messages generally includes the following steps, though any given step may be omitted or combined into another step in a different implementation: targeting, filtering, prediction, ranking, and selection.

Abstract: Disclosed are methods and devices for converting mobile notifications to content using a local content exchange. In one embodiment, the method comprises receiving a request for content from a mobile application; querying a data store of available content, the data store of available content populated with one or more notifications received by other mobile applications installed on the mobile device; identifying a responsive notification for the request for content based on the querying, the content item identified based on bid parameters associated with the one or more notifications; and transmitting the responsive notification to the mobile application.

Abstract: Systems and methods described herein concern improving an interior design of a vehicle under development. One embodiment presents an electronic survey to ridesharing customers from a plurality of ridesharing trips in a rideshare vehicle having a reconfigurable interior that is configured in accordance with a proposed interior design for the vehicle under development, the electronic survey pertaining to one or more features of the proposed interior design, and collects and stores, in a computer memory, responses to the electronic survey for the plurality of ridesharing trips. The proposed interior design is modified based, at least in part, on the responses to the electronic survey.