Abstract: An initial list of candidate items automatically evaluated and chosen for an end-user is provided. A selection of one or more items in the initial list of candidate items is received from an expert user different than the end-user to include in an item group set for the end-user. Eligible items are evaluated to identify an additional item to include in the item group set based at least in part on an expert judgment prediction machine learning model trained to predict based at least in part on the one or more items already in the item group set a likelihood of a certain item being evaluated would be selected for inclusion in the item group set. Based on the evaluation, the additional item is included in the item group set. Member items in the item group set are indicated.

Abstract: A recommendation engine can provide recommendations with respect to an application and can provide insights to a user of a computing device. The recommendation engine can receive a prediction based on user engagement with the application during an initial period of time (e.g., a trial period) as to whether the user will convert use of the application to a paid basis (e.g., a subscription or license to the application). An action can be recommended based on the prediction. The recommendation engine can provide insights to a user based on a score associated with the insight. The score can be determined by measuring previous user interactions with the insight over a period of time.

Abstract: The present application describes systems and methods for defining a configurable project. In this regard, a first component in a first configurable project may be defined. The first configurable project may then be published. Subsequently, a second configurable project is assigned to a user. In defining a second component, the second component may reference the first component of the first configurable project. If the first component is modified, a notification may be generated in the second configurable project.

Abstract: A method and graphical user interface in a digital retail shopping system. A client device is in communication with a network. The client device has a display said network connectable to a server and a database of products for purchase. A view of a selected product is presented on the display. A detail of a selected product is retrieved from the database. A detail of the selected product is presented on the display. A personal preferences profile of the user is processed. A comparison parameter is determined, associated with the detail of the selected product and the personal preferences profile of the user. Based on the comparison parameter, an advisory message is generated related to the selected product and the personal preferences profile. The advisory message on the display of the client device is displayed with the view of the selected product and with a detail of the selected product.

Abstract: Systems and methods for implementing point of advertising purchasing include using mass media publications configured for or containing service, product or vendor transmittable signals, such as from radio frequency identification tags. In a preferred arrangement, a consumer perceiving an advertisement of the mass media publication may activate a reader in a portable communications device, such as a smart mobile or cellular phone, to receive information from the radio frequency signal associated with the advertisement to identify a vendor, product or service associated with the radio frequency identification. The smart mobile phone or communications device of the consumer may communicate with a system of a vendor or vendors by way of a commerce data organization system across a network to order a product or product information from a system of the vendor over the network by using the information from the radio frequency identification.

Abstract: A computer implemented method for controlling operational states of a hardware matching processor includes monitoring, by a circuit breaker, incoming electronic data transaction request messages to the hardware matching processor; dynamically defining a range of values as a function of values included with electronic data transaction request messages received during a rolling lookback window; detecting that an incoming electronic data transaction request message contains a value outside the range of values; transitioning the electronic data transaction processing system into a pre-open state for a predetermined period, thereby preventing the hardware matching processor from matching incoming electronic data transaction request messages; calculating a pre-open value at an end of the pre-open state; and re-opening the electronic data transaction processing system at the calculated pre-open value, thereby allowing the hardware matching processor to match incoming electronic data transaction request messages.

Abstract: A computer-implemented method for arranging communication between two or more users is provided. The two or more users including at least a first client and at least a first consultant. The first computing device is associated with the at least first client. The second computing device is associated with the at least first consultant. The method includes operations performed by at least one computer processor.

Abstract: A system and method for customizing a vehicle for a user from a dealer through a user interface of a mobile device. The system and method may include a vehicle customization application stored on the mobile device. The user interface can be used to select the vehicle from a plurality of vehicles using the vehicle customization application. The vehicle customization application may create a user desires profile for the user of the vehicle customization application and may retrieve all dealer installed option packages for the selected vehicle from a dealer database of the dealer. Based on the user desires profile and the retrieved dealer installed packages, artificial intelligence may be used to generate a list of dealer installed option packages for the user. The user may select dealer installed option packages from the generated list of dealer installed option packages through the user interface.

Abstract: A system and a method are provided to enable a user to post on the internet an item for sale, obtain a credit therefor, access the credit and convey the item to a buyer. The system includes a database of information and an item upload function arranged to enable the user to post information about an item that the user wishes to sell. The system further includes a credit establishment function establishes a credit for the user based on the posting, wherein the credit establishment function is arranged to make the credit available for the user to access immediately upon posting the item. A credit usage function permits the user to store the credit or convert the credit into funds accessible by the user. A reporting aspect of the system enables the user to see credit usage and availability information.

Abstract: Embodiments can provide a computer implemented method for identifying a match between a commercial buyer and a seller for a real estate transaction. The method includes receiving, from the buyer, a service request and receiving, from the buyer, historical information stored in a buyer immutable record. The method also includes receiving one or more real estate requirements and one or more commercial external factors and determining a buyer need profile based on the historical information, the real estate requirements, and the commercial external factors. The method also includes receiving one or more answers in response to one or more first questions raised by the processor, refining the buyer need profile based on the one or more answers, identifying a match between the buyer need profile and a real estate profile from the seller, and providing a ranked list of real estate properties and supporting evidence for each real estate property to the buyer.

Abstract: Data-analysis-based validation of product review data and linking to product record data are provided to facilitate forwarding product-related guidance. The processing includes one or more processors obtaining record data documenting, at least in part, a product's specific supply chain history, and receiving by the processor(s) review data for the product. Based on data analysis, the processor(s) authenticates the review data of the product to establish verified review data, and links the verified review data to the record data documenting, at least in part, the product's supply chain history. The processor(s) provides to a user product-related guidance based, at least in part, on the verified review data for the product that has been linked to the record data documenting, at least in part, the product's supply chain history.

Abstract: Systems and methods are provided for requesting a product at a retail establishment. The system includes an electronic device and a computer-readable storage medium which includes one or more programming instructions that cause the electronic device to receive, from an on-premises electronic device located at a retail establishment, data pertaining to a product including a unique identifier associated with the product, determine whether the product is an item of footwear, and identify current inventory information associated with the product in response to determining that the product is an item of footwear. The one or more programming instructions further cause the electronic device to send at least a portion of the current inventory information to the on-premises electronic device, receive a request for the product, and send a notification of the request to one or more associate electronic devices, each being associated with an associate in the retail establishment.

Abstract: The systems and methods described herein relate to processing of information, data and automated transaction information involving content and/or experiences. In some exemplary implementations, illustrative automated methods of computerized information processing may involve automated auction processing, sweepstakes processing, handling, fulfillment and/or particular checkout processing of product(s) and/or item(s), including product(s) and/or item(s) such as experiences, physical products, digital products, and/or other offerings by luminaries. According to certain implementations, various product types, flag and/or identifiers are utilized in automated transformations of various purchasable products among the various offerings.

Abstract: A data processing system generates recommendations for on-line shopping by scoring recommendations matching the customer's cart contents using by assessing and ranking each candidate recommendation by the expected incremental margin associated with the recommendation being issued (as compared to the expected margin associated with the recommendation not being issued) by taking into consideration historical associations, knowledge of the layout of the site, the complexity of the product being sold, the user's session behavior, the quality of the selling point messages, product life cycle, substitutability, demographics and/or other considerations relating to the customer purchase environment.

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 training one or more first models to recommend a first item after a user has had an interaction on the web site of the online retailer with a second item, determining static features common to both the first item and the second item, training a second model to determine whether to coordinate a display of any new item as one of one or more recommended items with any of a plurality of items, and coordinating the display of the new item as one of the one or more recommended items when the one or more of the plurality of items are displayed on the website of the online retailer based on the static features of the new item.

Abstract: A system has a gateway cluster having a gateway processor for communication with an external processor of an external user using a first protocol and data format. A non-transitory storage medium is configured for storing a database containing unfilled orders associated with the external user. An application cluster has a processor in communication with the storage medium for accessing the database. The gateway processor can communicate with the application processor using a second protocol and data format different from the first protocol and data format. The application processor is configured for fetching and aggregating unfilled orders from the database, and transmitting an aggregation of orders to the external processor via the gateway cluster in response to a number of unfilled orders being at least a threshold number, a size of the aggregation of orders being at least a threshold size, or expiration of a predetermined time period.

Abstract: Big data analysis methods and machine learning based models are used to provide offer recommendations to consumers that are probabilistically determined to be relevant to a given consumer. Machine learning based matching of user attributes and offer attributes is first performed to identify potentially relevant offers for a given consumer. A de-duplication process is then used to identify and eliminate any offers represented in the offer data that the consumer has already seen, has historically shown no interest in, has already accepted, that are directed to product or service types the user/consumer already owns, for which the user does not qualify, or that are otherwise deemed to be irrelevant to the consumer.

Abstract: A computer-implemented method may include receiving a customer submission for a vehicle from a customer device, the customer submission including a plurality of customer criteria; receiving a request from the customer device to provide the customer submission to a merchant device; and receiving a reply from the merchant device, the reply including a plurality of merchant criteria. The computer-implemented method also may include determining a variance between the customer criteria and the merchant criteria, and transmitting, to the merchant device, at least one of the variance or the customer criteria.

Abstract: This disclosure describes systems, methods, and devices related to predictive modeling for evaluating vehicles. A device may receive a customer identifier (e.g., a user identification number, a social security number, driver license number, etc.). The device may retrieve credit data associated with the user identifier and vehicle data associated with a vehicle. The device may determine a first weight for the credit data and a second weight for the vehicle data. The device may determine, based on the first weight and the second weight, a value. The device may determine whether or not the value exceeds a profitability threshold. The device may determine a loan information associated with the customer identifier. The device may send a first indication of the product or service to a user device for presentation. The device may send a second indication of the loan information to the second device for presentation.

Abstract: A system having a program running thereon to match babysitters with a user requesting babysitting services, the system including a storage unit to store data regarding the babysitters, a first apparatus having an input unit to allow the user to post a babysitting job via the program, and a second apparatus, including a display unit to allow at least one of the babysitters to view the posed babysitting job, based on information requested by the user matching the data stored in the storage unit, and an input unit to allow the at least one of the babysitters to respond to the posted babysitting job.