Coupang, Corporation

Joon Shik Hong

Seong Jin Lee

Han Byul Bang

Some aspects of the present disclosure are directed to computerized methods for extracting attributes from product titles. The method may include: retrieving first product identifier comprising at least one tag; determining, based on the at least one tag, a number of quantity related tags; flagging the product identifier as having a quantity based on an analysis of the quantity related tags; comparing the at least one tag and quantity of the first product identifier with at least one tag and quantity associated with a second product identifier; generating, based on the comparison, at least one similarity value between the first product identifier and the second product identifier; and transmitting instructions to at least one user device, wherein the instructions cause the at least one user device to display the at least one similarity value.

Systems and methods for intelligent extraction of quantities from product titles

Some aspects of the present disclosure are directed to computerized methods for extracting attributes from product titles. The method may include: retrieving a title associated with a product listing and historical product title data; refining the title; determining at least one tag associated with an attribute; generating, based on the at least one extracted tag and the historical title data, a first combination of one or more attributes; determining whether the title includes at least one plurality of product options, and if so: determining, for each product option hi the plurality of product options, a second combination of one or more attributes by removing attributes associated with alternative product options from the first combination; and generating a product identifier based on the second combination; and if the title does not include at least one plurality of product options, generating, the product identifier based on the first combination.

Systems and methods for intelligent extraction of attributes from product titles

Some aspects of the present disclosure are directed to computerized methods for extracting attributes from product titles. The method may include: retrieving a title associated with a product listing and historical product title data; refining the title; determining at least one tag associated with an attribute; generating, based on the at least one extracted tag and the historical title data, a first combination of one or more attributes; determining whether the title includes at least one plurality of product options, and if so: determining, for each product option in the plurality of product options, a second combination of one or more attributes by removing attributes associated with alternative product options from the first combination; and generating a product identifier based on the second combination; and if the title does not include at least one plurality of product options, generating, the product identifier based on the first combination.

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Seoul, South Korea

Joon Shik Hong