Abstract: Systems and methods are disclosed for generating a market-level house price index (HPI) for property valuation. In certain embodiments, a method may comprise executing a market-level HPI valuation operation via a computing system to generate an HPI for a selected tailored property market at runtime. The method may include receiving a geographic boundary selection to define an area for the selected tailored property market, identifying a plurality of properties within the area, determining historical value estimates for the plurality of properties, generating the market-level HPI for the selected tailored property market based on the historical value estimates, and adjusting historical sale prices of the plurality of properties to current market value based on the market-level HPI.

Abstract: Systems and methods herein provide an appraisal engine and its related functions. In an example, an appraisal engine may identify a target property for appraisal and based on the target property determine comparable properties. The appraisal engine may also determine one or more qualitative variables associated with the target property and determine which of the comparable properties include the qualitative variables. In some cases, the appraisal engine may generate visual representations of the qualitative variables for a respective comparable property. The appraisal engine may generate a listing of a subset of comparable properties that include the qualitative variables and generate an appraisal value for the target property based on the subset of comparable properties including the qualitative variables.

Abstract: Systems and methods herein provide an appraisal engine and its related functions. In an example, a method includes determining, by an appraisal engine, the target property and a corresponding a target specification which includes variables relating to features and/or characteristics of the target property. The appraisal engine may then determine comparable properties based on the target property and variables based on the target specification to use during an appraisal process. Based on the comparable properties and the variables, the appraisal engine may generate visual representations, each of which provides a comparison of the target property to the comparable properties for a respective variable. The appraisal engine may then determine an appraisal value of the target property based on the visual representations.

Abstract: Systems and methods are disclosed for property valuation using historical data. In certain embodiments, a processor may be configured to identify pairs of similar property sales in historical property sale records, determine geographic sectors corresponding to locations of properties involved in the similar property sales, assign edge weights between the geographic sectors based on a number of pairs of similar property sales involving the geographic sectors in the historical property sale records, perform clustering of the geographic sectors based on the edge weights, and define a price-linked neighborhood of geographic sectors based on the clustering.

Abstract: Systems and methods are disclosed for smart mapping, including dynamically recalculating a heatmap of displayed map entries based on changes to a map displayed on a viewport. In certain embodiments, a method may comprise providing a display of a map on a user interface, determining selected geographic tiles depicted on the display, and loading selected data corresponding to map entries from the selected geographic tiles only. The method may further comprise generating a heatmap on the display based on comparing the selected data, determining changes at the user interface resulting in a different set of geographic tiles depicted on the display, and dynamically generating a new heatmap based on the changes.

Abstract: Systems and methods are disclosed for three dimensional mapping. In certain embodiments, a method may comprise executing a three dimensional mapping operation via a computing system, including capturing an image sequence of a plurality of physical surfaces via an image capture device, and receiving a user input corresponding to the image sequence, the user input identifying a location of a surface edge from the plurality of physical surfaces. The three dimensional mapping operation may further include identifying a plurality of feature points within the image sequence based on a projected light pattern on the plurality of physical surfaces, and generating a three dimensional map of the plurality of physical surfaces based on the image sequence, the user input, and the plurality of feature points.

Abstract: Systems and methods are disclosed for three dimensional mapping. In certain embodiments, a method may comprise executing a three dimensional mapping operation via a computing system, including capturing an image sequence of a plurality of physical surfaces via an image capture device, and receiving a user input corresponding to the image sequence, the user input identifying a location of a surface edge from the plurality of physical surfaces. The three dimensional mapping operation may further include identifying a plurality of feature points within the image sequence based on a projected light pattern on the plurality of physical surfaces, and generating a three dimensional map of the plurality of physical surfaces based on the image sequence, the user input, and the plurality of feature points.

Abstract: Systems and methods are disclosed for three dimensional mapping. In certain embodiments, a method may comprise executing a three dimensional mapping operation via a computing system, including capturing an image sequence of a plurality of physical surfaces via an image capture device, and receiving a user input corresponding to the image sequence, the user input identifying a location of a surface edge from the plurality of physical surfaces. The three dimensional mapping operation may further include identifying a plurality of feature points within the image sequence based on a projected light pattern on the plurality of physical surfaces, and generating a three dimensional map of the plurality of physical surfaces based on the image sequence, the user input, and the plurality of feature points.

Abstract: A search term suggestion engine of a computing device receives characters of user data as the characters are input. The user data is at least part of a search term to be provided to one of multiple applications to search for the search term. An indication of multiple suggestion sources is received from the one application, and one or more suggested search terms are obtained, from the multiple suggestion sources, based on the received characters. One or more suggested search terms can also be obtained from the multiple suggestion sources based on one or more linguistic alternatives for the received characters. The one or more suggested search terms are combined into a combined set of suggested search terms, and the combined set of suggested search terms is returned to a search user interface for presentation to the user.

Abstract: A search term suggestion engine of a computing device receives characters of user data as the characters are input. The user data is at least part of a search term to be provided to one of multiple applications to search for the search term. An indication of multiple suggestion sources is received from the one application, and one or more suggested search terms are obtained, from the multiple suggestion sources, based on the received characters. One or more suggested search terms can also be obtained from the multiple suggestion sources based on one or more linguistic alternatives for the received characters. The one or more suggested search terms are combined into a combined set of suggested search terms, and the combined set of suggested search terms is returned to a search user interface for presentation to the user.

Abstract: A search term suggestion engine of a computing device receives characters of user data as the characters are input. The user data is at least part of a search term to be provided to one of multiple applications to search for the search term. An indication of multiple suggestion sources is received from the one application, and one or more suggested search terms are obtained, from the multiple suggestion sources, based on the received characters. One or more suggested search terms can also be obtained from the multiple suggestion sources based on one or more linguistic alternatives for the received characters. The one or more suggested search terms are combined into a combined set of suggested search terms, and the combined set of suggested search terms is returned to a search user interface for presentation to the user.

Abstract: A search term suggestion engine of a computing device receives characters of user data as the characters are input. The user data is at least part of a search term to be provided to one of multiple applications to search for the search term. An indication of multiple suggestion sources is received from the one application, and one or more suggested search terms are obtained, from the multiple suggestion sources, based on the received characters. One or more suggested search terms can also be obtained from the multiple suggestion sources based on one or more linguistic alternatives for the received characters. The one or more suggested search terms are combined into a combined set of suggested search terms, and the combined set of suggested search terms is returned to a search user interface for presentation to the user.