Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving an external catalog comprising external attributes for each product of a plurality of products, mapping the external attributes from the external catalog to internal attributes for each product of the plurality of products in an internal catalog for an online retailer using an ensemble learning technique comprising a plurality of algorithms, incorporating the external attributes of the external catalog into the internal attributes in the internal catalog as mapped, and coordinating displaying of the external attributes and the internal attributes on a website of the online retailer.

Abstract: Implementations of a real-time web analytics platform described herein provide systems and methods for generating operational and business intelligence based on web traffic data and transactional data. Embodiments related to collecting and processing real-time data by using a distributed network to capture and process incoming data streams. Messages are published in a designated message bus queue. Consumer programs pull and store the data in a NoSql database. Each message is immediately added to the previous messages and the individual or aggregated messages may be viewed in real time. Further processing aggregates the data, and metrics are calculated and stored. Comma Separated Value (csv) files are created and loaded into a reporting database for clients viewing longer term (hourly, daily, weekly, monthly) statistics.

Abstract: Systems and methods for predicting user lifetime value in accordance with embodiments of the invention are disclosed. In one embodiment, a lifetime value prediction server system includes a processor, and a memory configured to store a lifetime value prediction application, wherein the lifetime value prediction application directs the processor to obtain a set of user interaction data, group the set of user interaction data into cohorts, where the user interaction data within a cohort occurs on a particular day, calculate a set of known spending values based on the cohorts, determine a set of predicted spending values based on the set of known spending values, determine a set of predicted spending confidence values based on the set of known spending values, and calculate a set of predicted lifetime value data based on the set of predicted spending values and the set of predicted spending confidence values.

Abstract: Systems, apparatuses, and methods for enabling a user to collect, assemble, manipulate, and utilize data regarding cost in one or more specific markets about specialty properties, such as assisted living, long-term care facilities, and the like. Several factors will affect a specific market and the ebb and flow of regional costs, regional cost, regional demographics, and regional econometrics. Further, intra-regional and extra-regional data may also reflect the behavior of individuals in a market based on additional factors. Collecting this data and assigning relative values to the data based on follow-on activities, such as actual inquiries into property, lead generation for specific properties and move-in data for specific properties leads to an ever-changing cost index that is continuously updated through a machine-learning algorithm by which cost index data may be gleaned at any given moment in time for any specific region.

Abstract: Computer systems, devices, and methods for enabling a user to collect, assemble, manipulate, and utilize data regarding cost in one or more specific markets about specialty properties, such as assisted living, long-term care facilities, and the like. With this assembled cost data, time-period based growth figures may be calculated on a care-type-by-care-type basis across a region's specialty property inventory. These systems and methods may be utilized to generate cost growth calculations on a per-property basis as well as a per-care-type basis. By assembling cost date across multiple specialty properties in a given region that are further delineated by care-type, one may determine, first, a median of the costs assembled per group within one of the properties. Then, a median of these initials medians on a per-care-type basis may be generated to show true cost growth for various care-types across a specific region or locale.

Abstract: Systems, apparatuses, and methods for enabling a user to collect, assemble, manipulate, and utilize data regarding cost in one or more specific markets about specialty properties, such as assisted living, long-term care facilities, and the like. Several factors affect a specific market and the ebb and flow regional cost and demand, regional demographics, and regional econometrics. Collecting this data and assigning relative values to the data based on follow-on activities, such as actual inquiries into property, lead generation for specific properties and move-in data for specific properties leads to an ever-changing index that is continuously updated through a machine-learning algorithm by which index data may be gleaned for any specific region. Once an index of data is assembled, a user may glean specific and targeted estimates to future costs or future demand for specialty property based on geographic information, demographic information, and econometric information.

Abstract: Disclosed is a system and method of real time collection, display and analysis of participant engagement data, including but not limited to feedback data, which system and method enables two-way communication between a client wishing to collect, analyze and measure participant engagement data and each of multiple participants on a one-to-one basis (client directly to participant), including an interactive client dashboard with customizable data display and analysis tools and “speak” capabilities including creating automated messages and creating custom messages “on the fly” to respond to feedback received by directly messaging selected cohorts of participants.

Abstract: An example includes generating a first model based on reference demographic data corresponding to panelists, and based on second demographic data and behavioral data from a database proprietor that is separate from a first entity, the reference demographic data collected from the panelists by the first entity, and the second demographic data and the behavioral data corresponding to ones of the panelists having user accounts with the database proprietor; analyzing an output of the first model including the second demographic data partitioned into a plurality of nodes, each node representing a respective subset of the second demographic data; redistributing some of the second demographic data between some of the nodes to generate a second model; applying the second model to third demographic data of the database proprietor; and determining whether to adjust at least some of the third demographic data based on an output of the second model.

Abstract: A network system, such as a transport management system, efficiently allocates resources by monitoring the geospatial and topological locations of a rider responsive to receiving a trip request. A trip management module matches a rider with an available driver based in part on an comparison of the estimated times of arrival of the rider and the driver at the pickup location. A client positioning module monitors the rider's progress through nodes and edges in a topological graph associated with the origin location based on radio signatures received at the rider client device. A client ETA module calculates a rider ETA based on the rider's rate of travel through the origin location represented by nodes in the topological graph. Responsive to determining that the rider ETA and the driver ETA vary by over a threshold amount of time, the trip management module matches the rider with a second available driver.

Abstract: A network system, such as a transport management system, efficiently allocates resources by monitoring the geospatial and topological locations of a rider responsive to receiving a trip request. A trip management module matches a rider with an available driver based in part on an comparison of the estimated times of arrival of the rider and the driver at the pickup location. A client positioning module monitors the rider's progress through nodes and edges in a topological graph associated with the origin location based on radio signatures received at the rider client device. A client ETA module calculates a rider ETA based on the rider's rate of travel through the origin location represented by nodes in the topological graph. Responsive to determining that the rider ETA and the driver ETA vary by over a threshold amount of time, the trip management module matches the rider with a second available driver.

Abstract: Systems and methods for optimizing promotions within a physical retail space are provided. Electronic tags are deployed throughout the retail space. These tags are wirelessly coupled to a server system, allowing for real time and simultaneous updating of pricing and other promotional variables. These tags enable expansive testing of base pricing, promotion optimization, and sell through criteria. Testing may be performed on a wide range of promotional variables to determine what sorts of values for these variables yield the most effective promotions. Price elasticity for individual products can likewise be tracked through price adjustment testing for determining sell through scheduling. Further, by tracking individual consumers through the retail space, personalized promotions can be presented to the individuals.

Abstract: A system includes an event configuration unit through which a seller's terminal inputs at least one among a sales price of a product, a target period of selling the product, and a target quantity of the product to be sold, configures an event to be successful when the target quantity of the product is sold during the target period of selling the product, and inputs at least one among the amount of a distribution profit to be distributed to the purchaser when the event is successful, a distribution scheme of the distribution profit, and a distribution rate of the distribution profit; a product payment unit through which the purchaser's terminal makes a payment for the product; an event management unit for activating the event, and identifying whether the number of payments for the product having been made through the product payment unit, meets the target quantity of the product to be sold; and a profit distribution unit for paying the distribution profit to purchasers when the event management unit identifies

Abstract: The disclosed technology includes: an event configuration unit receiving sales price of a product, a target period of time for product sales and a target amount of product sales from a seller, to set an event which is successful when the target amount of product sales is reached within the target period, and to receive an amount of a distribution profit to be distributed when the event is successful, a distribution way of the distribution profit, and a distribution rate of the distribution profit from the seller; a product payment unit receiving a payment for the sales price of the product from a terminal of the purchaser; an event management unit activating the event and to check whether the number of payments reaches the target amount of product sales; and a profit distribution unit paying the distribution profit to the purchaser when the event is successful.

Abstract: The disclosed technology may include: a product payment unit adapted to allow a payment for a sales price of a product to be made through a terminal of a purchaser; a member account unit allocated to a member who joins the product sales promotion system to allow cyber money to be deposited thereinto; an order calculation unit adapted to determine a distribution order in an order of a cyber money amount deposited in the member account unit; and a dividend distribution unit adapted to distribute cyber money corresponding to a portion of a dividend obtained by multiplying a paid amount for the sales price by a dividend distribution rate to the purchaser and to further distribute cyber money corresponding to a remaining dividend to priority members and the purchaser.

Abstract: The disclosed technology may include: a product payment unit adapted to allow a payment for a sales price of a product to be made through a terminal of a purchaser; a member account unit allocated to a member who joins the product sales promotion system to allow cyber money to be deposited thereinto; an order calculation unit adapted to determine a distribution order in an order of a cyber money amount deposited in the member account unit; and a dividend distribution unit adapted to distribute cyber money corresponding to a portion of a dividend obtained by multiplying a paid amount for the sales price by a dividend distribution rate to the purchaser and to further distribute cyber money corresponding to a remaining dividend to at least some of priority members.

Abstract: The disclosed technology may include: a product payment unit adapted to allow a payment for a sales price of a product to be made through a terminal of a purchaser; a member account unit allocated to a member who joins the product sales promotion system to allow cyber money to be deposited thereinto; an order calculation unit adapted to determine a distribution order in an order of a cyber money amount deposited in the member account unit; and a dividend distribution unit adapted to distribute cyber money corresponding to a purchaser dividend which is a portion of a dividend obtained by multiplying a paid amount for the sales price by a dividend distribution rate to the purchaser and to further distribute cyber money corresponding to a remaining dividend to members who rank ahead the purchaser in the distribution order (hereinafter, referred to as “priority members”) and the purchaser, wherein after the dividend distribution unit distributes the cyber money corresponding to the purchaser dividend to the purch

Abstract: A system for managing multiple loyalty accounts, the system including one or more processing devices that receive a request indicative of a merchant and a user identifier, use the user identifier to obtain loyalty point data indicative of at least a points balance for each of multiple user loyalty accounts, use the merchant identifier to determine a merchant loyalty program for which the merchant can redeem loyalty points, calculate a points amount with the loyalty point data, the merchant loyalty program, and one or more rules, the one or more rules being at least partially indicative of conversion rates between loyalty programs, and at least one of provide a points indication indicative of the points amount to allow the points amount to be presented to the user, and cause points to be redeemed at least partially to allow a transaction to be selectively performed.

Abstract: The disclosed technology for distributing a portion of a sales profit to purchasers if a product selling event is successful, thereby promoting product sales, wherein the sales profit distribution system may include a product payment unit adapted to allow a payment for the product to be made through a terminal of the purchaser; and a profit distribution unit adapted to calculate an individual distribution profit to be distributed to the purchaser from the distribution profit, and the sales profit distribution method may include the steps of: (a) performing a payment for the product by a terminal of the purchaser through a product payment unit; and (b) calculating an individual distribution profit to be distributed to the purchaser from the distribution profit through a profit distribution unit.

Abstract: Systems, methods, and apparatus are disclosed for providing instant rebates before a transaction is completed. This involves ingest of customer and rebate data from two or more utilities, where the data is parsed and normalized into a standard format across all of the utilities. The customer data is then stored in an accounts database, while the rebate data is further processed along with utility rebate rules to determine a set of rebate eligibilities for a variety of scenarios. The resulting rebate profiles can be stored in a rebates database and linked to corresponding customer account data in the accounts database. Third-party frontends can then request rebate eligibility based on a customer identifier and retail channel, and various services can work in tandem to query the rebated database and return a set of eligibilities with so little latency that the eligibility check appears instant from a customer's standpoint.

Abstract: An online system accounts for measures of quality of content items when selecting content items for presentation to users. For a content item including a link to a landing page outside a domain of the online system, the measure of quality accounts for a likelihood of a user presented with the content item returning to the online system after less than a threshold amount of time accessing the landing page. The measure of quality of the content item is based on the likelihood of the user returning to the online system after less than the threshold amount of time relative to likelihoods of other users returning to the online system after less than the threshold amount of time. The measure of quality of the content item is affected by a difference between the likelihood determined for the user and the likelihoods determined for other users.

Abstract: Experiments are used to optimize web pages. The effectiveness of these optimizations depends heavily on the analytics provided by the experimental analysis system. This invention is a new type of experimental analysis system that provides the user with sequentially valid analytics focused on the key performance indicators of interest such as % improvement and avoids multiple comparison problems through multivariate testing procedures.

Abstract: An electronic device includes a sensor; a transceiver; a display; and a processor to collect user log data including location information of the electronic device, control to transmit, through the transceiver, the user log data including the location information of the electronic device, to a log manage server, based on a user input, control to transmit, through the transceiver to the log manage server, a signal for using a mission service provided by the log manage server, receive, through the transceiver from the log manage server, a mission based on the location information of the electronic device, control to display, on the display, information of the received mission, control to detect, through the sensory data associated with performing the mission, and control to transmit, through the transceiver, the sensory data to the log manage server to determine whether a result of performing the mission is successful.

Abstract: An example system disclosed herein includes an analyzer to determine a first priming characteristic of media at a first location based on first neuro-response data and determine a second priming characteristic of the media at the second location based on second neuro-response data. The example system includes a selector to select a third location in the media after the first location or a fourth location in the media after the second location as a candidate location for introduction of advertising material based on the first priming characteristic and the second priming characteristic. The selector is to select the third location when the first priming characteristic indicates increased receptivity to the advertising material at the first location relative to the second priming characteristic and select the fourth location when the second priming characteristic indicates increased receptivity to the advertising material at the second location relative to the first priming characteristic.

Abstract: Aspects of the invention include receiving, at a processing system, weather data that is associated with a target consumer. Content of a digital advertisement for a vendor is selected based at least in part on the weather data that is associated with the target consumer, and information about an item or a service provided by the vendor. The digital advertisement, including the content, is transmitted for presentation to the target consumer via a user interface. A response to the digital advertisement is received from the target consumer. The content of the digital advertisement is modified based at least in part on the response to the digital advertisement from the target consumer. The digital advertisement, including the modified content, is transmitted for presentation to the target consumer via the user interface.

Abstract: Aspects of the invention include receiving, at a processing system, weather data that is associated with a target consumer. Content of a digital advertisement for a vendor is selected based at least in part on the weather data that is associated with the target consumer, and information about an item or a service provided by the vendor. The digital advertisement, including the content, is transmitted for presentation to the target consumer via a user interface. A response to the digital advertisement is received from the target consumer. The content of the digital advertisement is modified based at least in part on the response to the digital advertisement from the target consumer. The digital advertisement, including the modified content, is transmitted for presentation to the target consumer via the user interface.

Abstract: Systems and methods are provided for generating and using classification models to automatically classify pages or other source content as including text about one or more real-world events. Generating the classification models may include analyzing text content of a large number of different pages from both a reference source and from more dynamic sources, such as from publisher sources via a network. Features for training classifiers may be determined based in part on the top n-grams identified among pages that have been determined to be associated with a given event.

Abstract: An online system aggregates content item from third party systems for presentation to users of the online system. To do so, the online system accesses the web pages of third party systems to trigger tracking pixels that have been previously placed by the third party systems. A triggered tracking pixel sends a server call to the online system that includes tracking pixel data such as information about the content item that was available on the web page. Based on the information gathered through various tracking pixels, the online system generates a catalog of the content item that can then be presented to a user of the online system such that the user can browse content items of the third party system while accessing the online system.

Abstract: [Object] To provide an information processing apparatus, an information processing method, and a program which are capable of causing a user to be motivated to follow guidance to a predetermined place. [Solution] An information processing apparatus including: a search unit configured to search for, on a basis of position information of a user, a predetermined point specified in accordance with a user status and scenario progress from surroundings of a user; and an output control unit configured to perform control in a manner that a voice of a character corresponding to the scenario progress performs guidance to the predetermined point that has been searched for.

Abstract: Targeting information (also referred to as ad “serving constraints”) or candidate targeting information for an advertisement is identified. Targeting information may be identified by extracting topics or concepts from, and/or generating topics or concepts based on, ad information, such as information from a Web page to which an ad is linked (or some other Web page of interest to the ad or advertiser). The topics or concepts may be relevant queries associated with the Web page of interest, clusters, etc.

Abstract: The invention relates to a computer application that allows a consumer to recreate his/her community of favorite business from around town and around the world on a computer platform by selecting, on a virtual map, businesses of interest to the consumer, and thereby allows direct communication over a computer network between the selected businesses and the consumer. The consumer interacts with this virtual world through an engaging graphical interface containing icons that depict each business as a uniquely represented, three-dimensional building. Once the consumer creates and account and selects the business on the map, the business can gain real-time access to the consumer through the application delivering highly relevant marketing material to the consumer who had initiated the interaction. The application also provides for a unique reward system for users of the platform.

Abstract: Provided is a technique for managing advertising displayed on digital signage. An advertising management server causes a mobile display medium having an electronic signboard to display one or more advertisements, acquires positional information about the mobile display medium, receives, from a mobile communication terminal having a photograph function, a photograph image of the advertisement displayed on the mobile display medium and positional information about a position where the photograph image was taken, and grants predetermined payment data for visual recognition of the advertisement by a user of the mobile communication terminal, to a manager of the mobile display medium and the user of the mobile communication terminal, when the visual recognition of the advertisement by the user of the mobile communication terminal is confirmed based on the positional information about the mobile display medium and positional information about the mobile communication terminal.

Abstract: An information processing method is provided. The method includes acquiring a JavaScript (JS) template for filtering multimedia information from a backend server when determining a preset update condition is satisfied; and acquiring a filtering parameter corresponding to a target webpage from the backend server when detecting that a user requests to access the target webpage. The method also includes inserting the filtering parameter into the JS template; executing the JS template inserted with the filtering parameter, screening out multimedia information from webpage information displayed on the target webpage and shielding displaying of the multimedia information.

Abstract: A device, system, and method determines a social fit assessment. The method performed on a fit server includes receiving a request including identities of first and second entities involved in a collaborative campaign. The method includes generating first and second profiles for the first second entities, the first and second profiles based on first and second audiences associated with the first and second entities. The method includes determining a third entity to be cooperatively involved in the collaborative campaign. The method includes generating a third profile for the third entity, the third profile based on a third audience associated with the third entity. The method includes determining a similarity index for the third entity with the first and second entities based on the first, second, and third profiles, the similarity index indicating the social fit of the third entity with the first and second entities.

Abstract: An identity and security system may register a user associated with a mobile device and a user identity that comprises characteristics of the user. The system may assign a reputation score and a spend propensity score to the user identity. The system may base the reputation score on a plurality of reputation assessments, and the spend propensity score on a history of transactions and non-transactions by the user. The system may also detect the mobile device at a merchant location, and it may transmit at least one of the reputation score and the spend propensity score to a POS device at the merchant location in response to detecting the mobile device at the merchant location.

Abstract: In accordance with embodiments of the present disclosure, each third party system of multiple of third party systems is configured to store files including datasets of different types, associated with one or more campaigns. Each dataset can be associated with a unique transaction ID. A computing system can be in communication with the third party systems and include a first database and a second database. The computing system can be configured to receive a selection of one or more third-party systems. The computing system can aggregate each of the datasets from the one or more files into one or more groups based on the unique transaction ID associated with each of the datasets, calculate one or more values associated with the at least one campaign, and generate a report including the one or more values.

Abstract: Methods for generating one or more advertisement creatives for multiple advertisement types. In one aspect, a method includes receiving a selection and data entered in an electronic form, the selection being for two or more different advertisement types, the entered data being of one or more data types, the data types including text, image, audio, or video, generating two or more advertisement creatives using the entered data, the two or more advertisement creatives being for the selected two or more different advertisement types, and presenting the two or more advertisement creatives.

Abstract: The usefulness of content (target content), such as advertisements, may be increased by determining additional content and providing such additional content in association with the content. The target content may be text, a Web page, a URL, a search query, etc. The additional content might be related suggested queries (e.g. “Try a search for ______”), news articles (or excerpts or summaries thereof), reviews (or excerpts or summaries thereof), advertisements, user group messages, etc.

Abstract: In an approach to sensor-based interaction analytics, one or more computer processors receive user interaction data associated with a product and product features. The one or more computer processors identify one or more features of the product corresponding to the user interaction data. The one or more computer processors associate the user interaction data with a product and a product feature. The one or more computer processors establish a baseline of user interaction data associated with an average user response to the product and the product feature. The one or more computer processors analyze the received user interaction data associated with the product and product features. In response to determining that a deviation from the average user response has occurred, the one or more computer processors create a deviation report containing the received and associated product feature.

Abstract: In an approach to sensor-based interaction analytics, one or more computer processors receive user interaction data associated with a product and product features. The one or more computer processors identify one or more features of the product corresponding to the user interaction data. The one or more computer processors associate the user interaction data with a product and a product feature. The one or more computer processors establish a baseline of user interaction data associated with an average user response to the product and the product feature. The one or more computer processors analyze the received user interaction data associated with the product and product features. In response to determining that a deviation from the average user response has occurred, the one or more computer processors create a deviation report containing the received and associated product feature.

Abstract: A method and system for using a graphical user interface for display and navigation of a three-dimensional navigational cube to assess vendors for meeting requirements of a service provider for deploying a selected service. A three-dimensional navigational cube configured to be navigated is generated and displayed. Mutually orthogonal axes of the navigational cube comprise subservices that the service provider must have to implement the selected service, vendors able to implement at least one of the subservices, and requirements stipulated by the service provider that are to be met for implementing the subservices. Selections sequentially received from a user include: one or more planar sections of the navigational cube, a vector of co-linear subcubes within one of the planar sections, and a single subcube within the selected vector which selects a vendor able to meet requirements for implementing the subservice for the selected single subcube.

Abstract: Systems, apparatuses, and methods for enabling a user to collect, assemble, manipulate, and utilize data regarding cost in one or more specific markets about specialty properties, such as assisted living, long-term care facilities, and the like. Several factors will affect a specific market and the ebb and flow of regional costs, regional cost, regional demographics, and regional econometrics. Further, intra-regional and extra-regional data may also reflect the behavior of individuals in a market based on additional factors. Collecting this data and assigning relative values to the data based on follow-on activities leads to an ever-changing cost index that is continuously updated through a machine-learning algorithm. As data is assimilated and cultivated in a cost index, cost estimates may be gleaned across a subset of data for any delineation of data by region, age group, facility type, and facility value.

Abstract: A system, method and devices are provided for conducting retail transactions, and more particularly for transacting business with customers and clients where the point of transaction occurs at a retail facility, such as a retail banking or drug store facility. The present system, method and devices are implemented to manage logistics in retail facilities, such as retail banking and drug store establishments, that have drive-up service, and to survey and report transactional data.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of displaying a plurality of facets of a product type on a website of an online retailer in a plurality of facet orders, determining a first individual number of times a facet was selected when in a first position, determining a second individual number of times the facet was selected when in a second position, estimating a first estimated number of times the facet would have been selected if the facet had been in the first position rather than the second position, determining a ranking of the plurality of facets, and coordinating displaying at least a portion of the plurality of facets on the website of the online retailer in an order of the ranking.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of identifying one or more product attributes in an existing title for a product, determining at least one product attribute to include in an alternative title for the product, determining that the at least one product attribute in the alternative title for at least a the product does not correspond to the one or more product attributes in the existing title for the product, automatically inserting the at least one product attribute in the alternative title for the product into a modified title for the product, and coordinating displaying of the modified title for the product on a website associated with the online retailer.

Abstract: An online system acts as a centralized, trusted intermediary in managing subscription products that a user of the online system has subscribed to. For example, a user may subscribe to receive a product from a variety of different third party systems. The user of the online system provides payment information and authorization information to the online system which stores them in association with a user profile belonging to the user of the online system. When a payment is required for a subscription product, the online system retrieves the payment information and verifies that the online system is authorized to provide a payment. Once verified, the online system provides a payment on behalf of the user to the third party system in exchange for provision of the subscription product to the user.

Abstract: A system with mechanisms that allow for creating, storing and resuming a session without being bound by time. In a system that allows for communication between parties when one of the parties has an account with the system whereas one or more others who are trying to reach this party do not, creating a session and allowing for the same users to come back to resume the session is enabled. Resuming the session by any of the associated parties to the session is supported, this session can be operated through various applications such as voice, video and chat, and be accessed in various networks such as the internet or the telephone network, as well as across devices such as web browsers, smart device apps, and mobile phones with SMs capability. The system supports porting and reusability of the session across networks, applications and devices.

Abstract: Disclosed are exemplary embodiments of systems and methods for use in personalizing a vehicle to a user. One exemplary method includes authenticating a user to a vehicle where the user is associated with a payment account and, after the user is authenticated, loading, by a computing device, a profile associated with the user to the vehicle where the profile includes a payment credential associated with the payment account and at least one vehicle control. The method also includes imposing, by the computing device, the at least one vehicle control on a feature of the vehicle to thereby alter the feature of the vehicle and providing, by the computing device, the payment credential to a merchant in connection with a transaction associated with the vehicle.

Abstract: A ring design machine receives one or more selections of gemstones and one or more selections of settings and allows a user to “mix and match” gemstones and settings and view a selected gemstone in a compatible setting for that gemstone. To present the gemstone in the setting, the ring design machine presents a combination image that depicts the gemstone in the setting. The ring design machine, which may be implemented using a computer programmed by software, may present the combination image to the user in response to receiving a selection of the gemstone and a selection of the setting from the user via a network.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving search queries from users, coordinating displaying of search results for the search queries, receiving an indication that the users selected products in the search results, associating each search query with a product type based on products selected by the users, identifying product attributes in each search query, determining an attribute weight for each product attribute for the product type, determining which product attributes are recorded in product information for each product, determining a product attribute score for each product, receiving an additional search query, and selecting a first portion of products for display in additional search results for the additional search query.

Abstract: Computerized systems and methods are provided for determining cumulative success-based recommendations for repeat users. One such method includes determining user and item latent-features based on matrix factorization applied to matrices that include recommendation and feedback events. The feedback events indicate previously provided user preferences for at least a portion of the items. An item-recommendation policy is determined based on a cumulative metric that includes an expected value for the accumulation of stochastic user-item rewards associated with future (or subsequent) recommendations. The accumulation of the rewards is based on the user latent-features, the item latent-features, and the previous rewards included in the feedback events. Machine learning, such as reinforcement learning (RL), is employed to determine the item-recommendation policy based on the feedback events.