| 摘要 |
A method for predicting sale prices for heavy equipment products includes presenting, to each of a plurality of users, an indication of a first set of pricing metric data items relating to a market value of a first product and an indication of pricing metric data items for each of a corresponding set of products for the user, receiving, from each user, a forecast price for the first product and a respective estimated price for each of the corresponding set of products for the user, determining a respective forecast rating for each user based on an accuracy assessment of the respective estimated prices received from the forecasting user in view of sale prices of the corresponding set of products for the user, and determining a price prediction for the first product based on the forecast price received from each user weighted according to the respective forecast rating for the user. |
| 主权项 |
1. A method for predicting sale prices for heavy equipment products based on crowd-sourced price forecasts, the method comprising:
providing, at an application server, a network service that is accessible to a plurality of users through a plurality of client systems that are communicatively coupled to the application server via a network and each implementing a client application that provides a user interface for accessing the network service; maintaining, in a data storage system, a past sale record database comprising a plurality of information records respectively associated with a plurality of product sales, where each information record comprises a sale price and a plurality of pricing metric data items relating to a market value of a respective product for the information record; receiving, from one of the client systems being operated by a requesting user to access the network service, a first set of pricing metric data items relating to a market value of a first product; presenting, via the user interface provided by the client application implemented at a corresponding client system of the plurality of client systems being operated by each of a plurality of forecasting users of the plurality of users, an indication of the first set of pricing metric data items and an indication of the plurality of pricing metric data items of each information record of a corresponding set of information records of the plurality of information records for the forecasting user; receiving, from the corresponding client system being operated by each forecasting user, a forecast price for the first product and a respective estimated price for the respective product for each information record of the corresponding set of information records for the forecasting user; determining a respective forecast rating for each forecasting user based on an accuracy assessment of the respective estimated prices received from the forecasting user in view of the sale prices of the corresponding set of information records for the forecasting user; and presenting, via the user interface provided by the client application implemented at the client system being operated by the requesting user, a price prediction for the first product that is determined based on the forecast price received from each forecasting user weighted according to the respective forecast rating for the forecasting user. |
