Methods and systems are disclosed for determining resource suitability based at least in part on physical geographic mapping data. A learning/learning engine may be trained to determine such resource suitability using training data. The trained learning/learning engine may then me used to generate suitability indicators. The suitability indicators may be rendered in association with a map comprising the resource. The resource may be configurable to be shared amongst a plurality of physical resource users in a time displaced manner. learning

Methods and systems are disclosed for determining resource suitability based at least in part on physical geographic mapping data. A learning/learning engine may be trained to determine such resource suitability using training data. The trained learning/learning engine may then me used to generate suitability indicators. The suitability indicators may be rendered in association with a map comprising the resource. The resource may be configurable to be shared amongst a plurality of physical resource users in a time displaced manner. learning

Embodiments of the present disclosure may include a computer implemented method of purchasing and commercializing real estate, including establishing a geospatial database of fractionalized real estate properties. Embodiments may also include enabling a buyer and a seller to input into a further database data corresponding to the buyer's and seller's desired parameters for purchase or rent of a portion of a fractionalized real estate property. Embodiments may also include automatically obtaining and storing data corresponding to information relating to the buyer and seller. Embodiments may also include matching a buyer and a seller for a transaction relating to a portion of a respective fractionalized real estate property. Embodiments may also include facilitating communication between the buyer and seller for negotiation of an agreement for purchase or rent of the portion of fractionalized real estate property.

In variants, the method for subjective property scoring can include determining an objective score for a subjective characteristic of a property using a model trained using subjective property rankings.

In variants, the method for subjective property scoring can include determining an objective score for a subjective characteristic of a property using a model trained using subjective property rankings.

To automatically evaluate the reasonable price of real estate according to the housing data, the present invention discloses a novel intelligent property evaluation system. The system includes the following components: a housing data input system, a pre-processing filter, a feature extractor, a housing price trainer, and a housing price predictor, wherein the housing price predictor further includes a regression model generator and a decision integrator. The pre-processing filter is used to filter unreasonable samples from housing data and integrate synonymous features. The feature extractor is used to choose required variables of housing price model. The housing price trainer generates housing price model which is trained by a great amount of housing data. The housing price predictor then generates a prediction by the trained model. Furthermore, to maintain the accuracy of prediction under the social evolution, the housing price predictor could be regularly or irregularly updated by a rolling-based method.

To automatically evaluate the reasonable price of real estate according to the housing data, the present invention discloses a novel intelligent property evaluation system. The system includes the following components: a housing data input system, a pre-processing filter, a feature extractor, a housing price trainer, and a housing price predictor, wherein the housing price predictor further includes a regression model generator and a decision integrator. The pre-processing filter is used to filter unreasonable samples from housing data and integrate synonymous features. The feature extractor is used to choose required variables of housing price model. The housing price trainer generates housing price model which is trained by a great amount of housing data. The housing price predictor then generates a prediction by the trained model. Furthermore, to maintain the accuracy of prediction under the social evolution, the housing price predictor could be regularly or irregularly updated by a rolling-based method.

The present invention is a system and method for conveniently sending and receiving data and a method of reserving workspace. In particular, the invention allows a user to uniquely search for and lease a workspace for providing hair beauty services in a convenient manner. The proposed embodiment provides a unique experience for a user by providing a pleasant and secure experience.

A communicating device, method, and computer readable medium for performing a process of authenticating a physical structure. The communicating device includes circuitry that is configured to transmit a first instruction to a mobile device, receive first information associated with execution of the first instruction by the mobile device, validate the first information in order to determine a first score corresponding to the first instruction, by comparing the first information with pre-stored information, transmit a second instruction to the mobile device, receive, from the mobile device, second information associated with execution of the second instruction by the mobile device, validate the second information to determine a second score corresponding to the second instruction, by comparing the second information with pre-stored information, and generate an authentication result for the physical structure in response to the first and second scores being greater than first and second predetermined thresholds respectively.

A data linking system is described herein that links data records corresponding to a particular real estate property even if there are inconsistencies in the data records, the physical presence of the real estate property has changed over time, and/or the data records use different terminology. In some cases the data records are matched using a trained machine learning model. The data linking system can optionally generate a visualization of the data record linkage via interactive user interfaces. By linking data records despite the issues described above, the data linking system reduces the number of navigational steps a user performs to obtain data associated with a property and/or reduces data processing times. The disclosed system may be used to generate and maintain a comprehensive database of substantially all properties within a jurisdiction, in which a unique identifier is assigned to each property.