Systems, methods, and apparatus, including computer program products, for configuring online properties, such as content pages of a website, through an online user interface. A system generates the online user interface and receives, over a network and through the online user interface presented by a client device, a request to insert a restricted third party file into a user's online property. The online user interface is updated to inform the user that inclusion of the third party file in the user's online property is restricted and to provide the user with options for satisfying requirements for including the third party file in the user's online property. In response to detecting a user selection of at least one of the options, the restricted third party file is received from a content repository, and is inserted into the user's online property.

The present disclosure provides an electronic device, a method for constructing a scoring model of retail outlets, a system and a computer readable medium. The method includes: crawling POI data of a predetermined map website by a crawler system; acquiring surrounding POI data based on a location of each retail outlet, and constructing POI relevant outlet features based on the surrounding POI data; acquiring surrounding LBS information based on the location of each retail outlet, and constructing client relevant features based on the surrounding LBS information; scoring each retail outlet based on a number of new clients increased in a predetermined time period and a revenue index; and constructing the scoring model by performing supervised learning of a preset classification algorithm model using the POI relevant outlet feature, the client relevant feature, and a score of the retail outlet.

A logistics system comprises: a plurality of base facilities that accept an entry of a transportation device or container which transports pallets, and that carries the pallets in and out, each pallet being provided with pallet identification information; a plurality of base apparatuses that instructs, to the base facilities at each point in time, the pallets to be carried in or out at each base facility; and a logistics control apparatus that decides an planning regarding the distribution of the transportation devices and the pallets. The logistics control apparatus re-decides, regarding the pallets that have been carried into the transportation device or the container, a distribution route for each of the pallets and a base facility to which the transportation device should be routed, and that transmits such determination to the base apparatus of the decided base facility.

Techniques are disclosed to provide customized loans on a per-user basis. With user permission or affirmative consent, user data may be monitored for several users, which may be used to calculate initial loan specifics such as a loan rate and term based upon a portion of this user input data. The user data may include demographic data, behavioral data, or other data indicative of a user's future potential earnings or other relevant information that may be analyzed to determine, for that specific user, the current likelihood that the user will default on the loan and a future likelihood of default. When this future statistical likelihood is determined, the initial loan specific may be further modified and/or a targeted notification may be sent indicating these customized loan specifics.

An energy-saving promotion achievement-evaluating device is provided in which: a population-constituting user identification information-obtaining unit comprises a population-constituting group identification information-obtaining means for obtaining population-constituting group identification information for obtaining, as comparison targets, a plurality of groups identified by group identification information for identifying a group constituted by a plurality of pieces of user identification information as the comparison target; and an energy-saving promotion achievement evaluation result-obtaining unit comprises a group-energy-saving promotion achievement evaluation result-obtaining means for obtaining energy consumption achievement data of the group identified by the population-constituting group identification information obtained by the population-constituting group identification information-obtaining means as an energy-saving promotion achievement evaluation result in association with the group identification information on the basis of the held energy-saving evaluation rule.

Vehicles, components, and methods present information based on context, for example presenting a first list or menu of items (e.g., food) or first set of signage or color scheme when in a first location or during a first period, and presenting a second list or menu of items (e.g., food) or second set of signage or color scheme when in a second location or during a second period. For instance, a first menu of items (e.g., relatively more expensive entrees, beverages) may be displayed via one or more displays or screens at a first location during a first period, and a second menu of items (e.g., relatively less expensive entrees, beverages) may be displayed at a second location during a second period. Context (e.g., present location, destination, date, day, period of time, event, size of crowd, movement of crowd, weather) may be manually provided, or autonomously discerned, and presentation automatically.

Systems, methods and computer program products for selecting dealers based on characteristics of the dealers and the user. A vehicle data system collects dealer location and historical transaction data from external data sources and generates and stores an eligibility table that identifies a set of eligible dealers for each combination of user location and vehicle make. Eligible dealers are determined from the eligibility table using a location and vehicle make identified from a user request. Scores are determined for each eligible dealer based on a dealer scoring model using a binary choice model in the form of a logistic regression of market share, inventory, close rate, price and distance, and dealers are ranked by these scores. A presentation of dealers selected by rank and by closest location to the user is generated and provided to the user via an interface running on a computing device.

Disclosed are various embodiments of a food safety management system, including a web portal for management and reporting and a handheld computing device for checklist completion. A checklist of tasks to be performed in a food service establishment is obtained and displayed on a touchscreen of the handheld computing device. Confirmation is obtained on the touchscreen whether a task has been completed. Temperature readings are obtained from one or more stationary sensors monitoring a food storage environment. Task completion data and temperature data are sent to a server.

Techniques are disclosed utilizing cognitive computing to improve banking experiences. A user's financial account(s) and location may be monitored to determine that a user is near an asset that is listed for sale. The techniques disclosed include receiving multiple locations for a user's mobile device over a period of time and determining when the mobile device is within a predetermined threshold distance of the asset listed for sale. The techniques include building a financial profile for the user based upon financial information for the user. The financial profile may be used to determine a loan to offer to the user for purchasing the asset listed for sale based upon the financial profile.

Techniques are disclosed utilizing cognitive computing to improve banking experiences. A user's financial account(s) may be monitored to predict when a surplus of funds is unnecessarily present and for how long this will likely be the case. Once this is determined, techniques include automatically drafting funds from the account to another account having a higher interest rate where the funds may accrue more interest. The techniques also include predicting when an overdraft may occur and taking appropriate action when such a prediction is made. Predictions may be based upon different weighted inputs used in accordance with a predictive modeling system, which may attempt to predict for a particular user, location, and retailer, whether the user will spend an anticipated amount in excess of the user's current balance. If so, passive (e.g., notifications) and active (e.g., transferring cover funds) actions may be performed.