Mercari, Inc.

Takuma Yamaguchi

Byong Mok Oh

John Alexander Lagerling

Rishabh Kumar Shrivastava

Minami Tanaka

Fritz Mikio Kuribayashi

Kenji Sugiki

Mikio Fritz Kuribayashi

Arnold Christopher Koroa

Disclosed herein are embodiments for automated intelligent price guidance of listings for a for sale object (FSO) being offered by a seller. Some embodiments may operate by: receiving information relating to the FSO, including specifications for selling the FSO, wherein the specifications include an original offer price and a time window for selling the FSO; determining a category of the FSO; generating an optimal offer price for the FSO based on one or more of: (a) past listings of previously sold FSOs that have a same or similar category of the FSO; (b) the specifications, including the time window; (c) a category decay curve applicable to the category; and (d) seller flexibility curve of the seller; and through the use of a machine learning neural networking analysis suggesting the optimal offer price to the seller as an offer price for a listing corresponding to the FSO, wherein this price is evaluated over time and suggestions are made accordingly.

Computer technology for automated pricing guidance

Disclosed herein are embodiments for intelligent listing creation for a for sale object (FSO). Some embodiments operate by determining a numerical identifier corresponding to a category of the FSO. A binarization of the numerical identifier using hot encoding is performed and using a neural network regression model, an optimal offer price is generated based on a category of the FSO. Information about the FSO is provided to the neural network regression model that tokenizes the textual input, and a unique binary vector representing the category is provided instead of the numerical identifier to the neural network regression model. An optimal price, generated by the neural network regression model, based on the unique binary vector representing the category.

Method, system, and non-transitory processor-readable medium for intelligent listing creation for a for sale object

Disclosed herein are embodiments for automatic, intelligent generation of listings for a for sale object (FSO) being offered by a seller. Some embodiments operate by: receiving information relating to the FSO, including specifications for selling the FSO and an election of an automatic listing option; determining a category of the FSO; generating an optimal offer price based on at least the category; and generating multiple listings for the FSO, wherein the multiple listings have varying titles, descriptions, pictures and offer prices.

Method, non-transitory computer-readable device, and system for intelligent listing creation

Technologies generally described herein relate to a computing device for personalized image recognition scheme. Example computing devices may include at least one processor; and at least one memory. The at least one memory may store instructions. The at least one processor executes the instructions to perform operations. The operations may comprise obtaining an input image containing an object and a user identifier; preprocessing the input image to produce image feature data; preprocessing user information corresponding to the user identifier to produce user feature data; determining a user group based on the user feature data to obtain group feature data of the user group; conducting a search of an image database based on the image feature data and the group feature data to search for one or more images; and generating object information based on image information of the one or more images.

Personalized image recognition

Provided is a product information generation system and the like capable of performing comprehensive determination using information on access to a plurality of pieces of media data from media data representing a product and generating product information. A product information generation system including a storage unit that stores access information used for access to product media data representing a product from a plurality of terminal devices in association with the product media data, a communication unit that receives the product media data transmitted from one terminal device, a feature extraction unit that extracts a feature of the received product media data, a similar media acquisition unit that acquires similar product media data of which a degree of similarity to the received product media data is equal to or higher than a predetermined degree of similarity and the access information associated with the similar product media data from the storage unit on the basis of the extracted feature, and an information generation unit that merges a plurality of pieces of access information of the acquired similar product media data to generate product information indicating the product of the received product media data.

Growing community of inventors

Saitama, Japan

Takuma Yamaguchi