An automated valuation system for an entity, comprising:
- a network-connected valuation computer, for automatically quantifying qualitative characteristics associated to an entity within a specific geolocation to determine valuation, comprising a processor, a database, a memory, and programming instructions stored in the memory, the programming instructions when executed by the processor, cause the processor to:
- receive, from a remote access apparatus an entity style, the entity style comprising a plurality of input attributes associated to the selected entity;
- receive a plurality of connections from a plurality of remote access apparatuses;
- receive, from a first remote access apparatus of the plurality of remote access apparatuses, a maximum value;
- receive, from the first remote access apparatus, a plurality of primary token features associated to the selected entity;
- receive, from the input attributes database, a plurality of entity input data sets, each entity input data set comprising data associated to a recently valuated entity of a plurality of recently valuated entities disposed within the specific geolocation, wherein at least a portion of the plurality of input datasets are secondary token features sets, each secondary token feature set comprising secondary token features;
- locate, in the database via a database search, at least a selected number of data records associated to the plurality of recently valuated entities for each entity input data set of the plurality of entity input data sets compare the plurality of input attributes for the selected entity to a first entity input data set to find at a first matched feature within a first selected range and a second matched feature within a second selected range, and a third matched feature to be within a third selected range to form a first qualified assemblage associated to recently valuated entities;
- utilize from the first qualified assemblage the group of secondary token feature sets wherein each secondary token feature set is associated to a recently valuated entity within said first qualified assemblage, wherein each of secondary token feature sets as between each of said first qualified assemblage recently valuated entities are compared on a matching feature basis, wherein matching features are removed to form a remaining group of first qualified secondary differentiated token feature sets wherein each first qualified secondary token feature set is associated with each recently valuated entity of the first qualified assemblage, each of a remaining collection of first qualified secondary token features are given a weight to explain differences in input data set features between the first qualified assemblage associated to recently valuated entities via a valuation computation, the valuation computation comprising a random forest regression of, at least, the first qualified secondary token features to provide a unique dynamic weight associated to each recently valuated entity;
- and
- determine a first calculated value associated to the selected specific entity by utilizing the weights of the first qualified secondary token features that have the highest number of matching equivalents to the plurality of primary token features forming an equivalent batch portion of the first qualified weighted secondary token features that are used to adjust the third matched feature to calculate a value for the third matched feature defined as a secondary tokenized value that is applied to the third matched feature to output the first calculated value associated to the selected specific entity via the valuation computation;
- assign a unique index identifier for a plurality of unique token descriptive features that are each assigned a unique index identifier associated to a plurality of unique index identifiers, each unique index identifier represents numerically one or more of species of singular words and phrases, the valuation computation substitutes the plurality of unique index identifiers one for one for said first qualified secondary token features to compute a second calculated value for the selected specific entity;
- compute a weighted ranking of each genus cluster of a plurality of genus clusters based upon a number of species of singular words and phrases within each genus cluster, with a higher number of species of singular words and phrases equaling a higher weighting of each genus cluster relative to other genus clusters, of the plurality of genus clusters, the valuation computation substitutes the weighted genus clusters one for one for the first qualified secondary token features to compute a third calculated value for said selected specific entity;
- sending, to an interface component of the first remote access apparatus, the first, second, and third calculated values;
- wherein the weights associated to the remaining collection of first qualified secondary token features are received by at least a portion of the plurality remote access apparatuses;
- wherein criterion for determining if an assemblage is qualified is that there is contact of one or more token features with at least a portion of the specific geolocation;
- wherein the plurality of primary token features and the plurality of secondary token feature sets are derived from text descriptions that are given in each entity listing, the text descriptions are further analyzed and broken down into species of singular words and phrases, that are categorized into clusters, via k-means clustering, in a consolidated manner into the plurality of genus clusters;
- wherein the input attributes database further includes a list price for the selected specific entity wherein a difference is calculated as between said list price and said output calculated value for the selected specific entity, wherein if the difference is less than the minimum percentage the list price is substituted for the output calculated value for the specific entity, if the difference is greater than the selected percentage, the list price and the output value for the selected specific entity are averaged to form a modified output value for the selected specific entity.