Zillow, Inc.

Mftb Holdco, Inc.

Yeng Bun

Stanley B Humphries

Dong Xiang

Jonathan Lee Burstein

Jonathan A Ultis

Andrew Bruce

Chunyi Wang

Andrew Martin

Krishna Rao

Chris Sipola

Elisa Sheng

A facility for estimating a value relating to an occurrence is described. The facility receives a first occurrence specifying a first value for each of a plurality of independent variables that include a distinguished independent variable designated to be monotonically linked to a dependent variable. The facility subjects the first independent variable values specified by the received occurrence to a statistical model to obtain a first value of the dependent variable. The facility receives a second occurrence specifying a second value for each of the plurality of independent variables (the second values varying from the first values in a first direction). The facility subjects the second independent variable values to the statistical model to obtain a second value of the dependent variable, the second value of the dependent variable being guaranteed not to vary from the first value of the dependent variable in a second direction opposite the first direction.

Enforcing, with respect to changes in one or more distinguished independent variable values, monotonicity in the predictions produced by a statistical model

A facility for estimating the value of a distinguished home, estimating the length of time a home or other property will be on the market at a listing price, and predicting the likelihood of sale of a home at a listing price is described.

Time on market and likelihood of sale prediction

A facility for valuing a distinguished home located in a distinguished geographic area is described. The facility receives home attributes for the distinguished home. For each of a plurality of valuation sub-models, the facility applies the valuation sub-model to the received home attributes to obtain a sub-model valuation for the distinguished home. The facility further applies a meta-model to the record home attributes to obtain a relative weighting factor for each sub-model. The facility then uses the obtained relative weighting factors to combine the sub-model valuations to obtain an overall valuation for the distinguished home. The facility reports the obtained valuation for the distinguished home.

Automatically determining a current value for a home

A facility for determining a market rental rate for a distinguished home located in a distinguished geographic area is described. The facility receives home attributes for the distinguished home. The facility obtains a market rental rate for the distinguished home by applying to the received home attributes a valuation model for homes in the distinguished geographic area that has been trained using rental listing price and home attribute data from homes recently listed for rental in the distinguished geographic area. The facility reports the obtained market rental rate for the distinguished home.

Automatically determining market rental rates for properties

A facility for determining a market rental rate index for homes located in a distinguished geographic area is described. The facility accesses a current market rental rate attributed to substantially every home in the named geographic area based on automatically comparing the attributes of each home to attributes of homes recently listed for rental in the named geographic area. The facility then applies an aggregation function to the accessed current market rental rates to obtain an aggregation result. The facility causes to be displayed a characterization of the current market rental rate of homes in the named geographic area that is based on the aggregation result.

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Seattle, WA, United States of America

Yeng Bun