US 11,682,030 B2
Automatic listing of items based on user specified parameters
Yoni Acriche, Austin, TX (US); Yo Han Park, Seoul (KR); and Hwangmin Shin, Seoul (KR)
Assigned to EBAY INC., San Jose, CA (US)
Filed by eBay Inc., San Jose, CA (US)
Filed on Nov. 9, 2018, as Appl. No. 16/185,667.
Prior Publication US 2020/0151743 A1, May 14, 2020
Int. Cl. G06Q 30/02 (2012.01); G06F 3/0481 (2022.01); G06Q 30/0202 (2023.01); G06Q 30/0201 (2023.01)
CPC G06Q 30/0202 (2013.01) [G06F 3/0481 (2013.01); G06Q 30/0206 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A method performed by hardware processing circuitry, the method comprising
providing item information for determining item predictions as training data to a machine learning model;
training the machine learning model with the training data;
filtering historical item listings for items having an equivalent type to a particular item;
determining, based on past depreciation of the items being the equivalent type to the particular item, predictions for the particular item with the trained machine learning model, the predictions comprising a plurality of future sales prices over a corresponding plurality of future time periods, the predictions further including a corresponding plurality of different probabilities at different future time periods of the plurality of future time periods of sale completion associated with each of the plurality of future sales prices such that each future sales price of the plurality of future sales prices has a sales probability of sale completion for a time period within the plurality of future time periods;
causing display of a user interface, the user interface configured to display a plurality of controls, each control selectable to define different rules for setting a sales price of the particular item, one of the controls selectable to define a rule setting a variable sales price so as to maintain a fixed probability of sale completion of the item over time based on the predictions such that the variable sales price varies over time in order to maintain the fixed probability over time;
receiving input selecting one of the plurality of controls;
determining a time to initiate publication of an online listing for the particular item; and
automatically publishing the online listing for the particular item in an online listing system in accordance with the determined time.