An exemplary non-limiting embodiment of an economic development and collaboration system, which enables individuals within a community to efficiently identify and express their interests in one or more economic propositions, is disclosed herein. The economic development and collaboration system comprises a software application which is configured to allow users to uniquely interface with the one or more economic propositions. The system allows for its users to efficiently identify and express support or disapproval of one or more economic propositions. A variety of engagement mechanisms are provided by the economic development and collaboration system to assist users in democratizing their interests. The system allows for a variety of forms of financial support of each economic proposition and provides valuable statistical data which may be utilized by entrepreneurs, business owners, developers, lenders, investors, or public officials when considering whether to implement or support the implementation of one or more economic propositions.

An all-encompassing system for planning and optimizing scheduled delivery appointments (or attended deliveries) through the utilization of a software tool having two major constituents: an asynchronously operating background advanced, genetic route optimization algorithm and an algorithm-informed communication user interface (whether through digital, or even analog, pathways, such as, without limitation, SMS, email, IM, and the like, oral communications, or any other possible means of communication). Such a system employs the optimization algorithm to determine efficient routes for delivery services in response to selections from contacted customers via the communication user interface. In this manner, the system allows for an initial base route generation from a set population of responding customers and negotiation through the communication user interface for a delivery time in relation to such a route. Subsequent responses are introduced in relation to the route in efficient manner by the algorithm as well.

A method of a power user classification based on distributed K-means, a storage medium and a classification device are provided. The method includes: obtaining, by N load aggregators, power consumption data of power users managed by respective load aggregators; performing, by each load aggregator, a normalization operation on time series load data of the power users managed by the load aggregator; forming a N×N dimensional adjacency matrix A; performing K-means clustering on normalized time series load data, to obtain the respective centroids and user groups characterized by the respective centroids; sharing, by the respective load aggregators, the centroids and the number of users under the respective centroids based on the adjacency matrix A, and obtaining consistent centroids by multiple load aggregators; after an overall iteration ends, obtaining, by the respective load aggregators, the consistent centroids consistent with the K-means centroid based on global data, to realize user classification.

A blockchain-based outlet site selection method, apparatus, device and storage medium can be provided. For example, using such exemplary method, apparatus, device and storage medium, in response to an outlet site selection request of a task demander, it is possible to determine a target data source and a target feature dimension associated with the target data source; acquire, from the target data source, target feature data of candidate grids in a target region according to the target feature dimension and target region information in the outlet site selection request; select a target grid from the candidate grids according to the target feature data of the candidate grids; and control the task demander to pay a token to the target data source based on a smart contract according to usage attribute information of the target feature data.

Systems and methods of the inventive subject matter are directed to generating insights into user-selected items based on a cohort of related items. In embodiments, users access a platform server and subsequently make a selection (e.g., the user selects a home listing). The platform server then identifies similar home listings to populate a cohort. Once the cohort is generated, statistics based on that cohort can be determined, and one or more of those statistics can then be used by the platform server to deliver an insight into the user-selected item. For example, if a user selects a home listing in a certain zip code, the platform server could alert the user that the selected home listing is more expensive than 75% of related listings, where the 75% value is calculated using the cohort of related home listings that is generated after the user selects the home listing.

In one implementation, a system for providing product suggestions to provide to a customer during a checkout process at a retail store includes a checkout configuration that includes a point of sale terminal, a scanner to scan products, a scanning preparation area where products to be scanned are positioned, and a customer-facing device. The system can further include one or more product sensors to capture and transmit product signals. The system can also include a product identification system that is programmed to identify the products contained in the scanning preparation area. The system can further include a product recommendation engine that is configured to identify contents of a customer cart from the products contained in the scanning preparation area; determine product recommendations based, at least in part, on the contents of the customer cart; and transmit the product recommendations to the customer-facing device for display to the user.

A system including one or more memory devices having instructions stored thereon, that, when executed by one or more processors, cause the one or more processors to receive a request from a user device of a user to add the user to a trusted user service, receive health behavior data of a health behavior data stream associated with behavior relating to a spread of an infectious disease at a physical location, determine whether the user meets one or more health safety levels based on the health behavior data stream, add the user to the trusted user service in response to a determination that the user meets the one or more health safety levels, and generate an access indication for the user to access the physical location at one or more particular times in response to the determination that the user meets the one or more health safety levels.

Disclosed examples to estimate audience sizes of media include a coefficient generator to determine coefficient values for a polynomial based on normalized weighted sums of variances, a normalized weighted sum of covariances, and cardinalities corresponding to a first plurality of vectors of counts from a first database proprietor and a second plurality of vectors of counts from a second database proprietor, a real roots solver to determine a real root value of the polynomial, the real root value indicative of a number of audience members represented in the first plurality of vectors of counts that are also represented in the second plurality of vectors of counts, and an audience size generator to determine the audience size based on the real root value and the cardinalities of the first plurality of vectors of counts and the second plurality of vectors of counts.

A system, a method and a computer program product are provided to determine user profile of one or more users in one or more buildings, using a machine learning model. The system may include at least one memory configured to store computer executable instructions and at least one processor configured to execute the computer executable instructions to obtain mobility features associated with the one or more buildings in a geographic region. The processor may be configured to determine using a trained machine learning model, one or more transport modes for the one or more buildings. The processor may be further configured to obtain indoor mobility data of the one or more users based on the one or more transport modes for the one or more buildings. The processor may be further configured determine the user profile of the one or more users in the one or more buildings.

Methods and systems are provided for generating and providing insights associated with a journey. In embodiments described herein, journey data associated with a journey is obtained. A journey can include journey paths indicating workflows through which audience members can traverse. The journey data can include audience member attributes (e.g., demographics) and labels indicating journey paths traversed by audience members. A set of audience segments are determined that describe a set of audience members traversing a particular journey path. The set of audience segments can be determined using the journey data to train a segmentation model and, thereafter, analyzing the segmentation model to identify patterns that indicate audience segments associated with the particular journey path. An indication of the set of audience segments that describe the set of audience members traversing the particular journey path can be provided for display.