Ebay, Incorporated

Ming Liu

Suresh Raman

Amit Reuven Menipaz

Surya Kallumadi

Gerald Law

Ravi Polisetty

Sumit Borar

Rui Li

Ying Xuan

A method for defining, generating, and using a global back-end taxonomy is disclosed. It is identified that a listing of an item is exposed to a plurality of users of a first subsystem via a set of categories of a first front-end taxonomy. The listing of the item is mapped to a set of categories of a global back-end taxonomy, the global back-end taxonomy being maintained independently of the first front-end taxonomy and a second front-end taxonomy, the second front-end taxonomy being associated with a second subsystem. A category of the set of categories of the global back-end taxonomy is mapped to a category of a set of categories of the second front-end taxonomy associated with the second subsystem. The listing of the item is exposed to a plurality of users of the second subsystem via the set of categories of the second front-end taxonomy.

Global back-end taxonomy for commerce environments

A method to determine image similarities. The method may include obtaining a first image and a second image and determining a discrete transform difference between a first discrete transform of the first image and a second discrete transform of the second image. The method may also include determining multiple first intensity vectors for the first image and determining multiple second intensity vectors for the second image. The method may also include determining an intensity vector difference between the multiple first intensity vectors and the multiple second intensity vectors and determining a color difference between a first color histogram of the first image and a second color histogram of the second image. The method may also include determining a similarity between the first image and the second image based on the discrete transform difference, the intensity vector difference, and the color difference.

Similar item detection

Techniques for ranking the importance of various attributes associated with various product categories are described. According to various embodiments, product category information identifying various products in a particular product category in the inventory of a marketplace website is accessed. The product category information may further identify a set of attributes associated with the products in the particular product category. An importance value associated with each of the attributes is then calculated, the importance values indicating an importance of each of the attributes for uniquely identifying the products in the product category. Thereafter, each of the attributes are ranked, based on the importance value associated with each of the attributes.

Attribute ranking based on mutual information

Techniques for categorizing item listings based on parsing item listing titles are described. According to various embodiments, listing titles of one or more item listings on a marketplace website are accessed, the item listings being associated with a particular product category in a product category structure of the marketplace website. Words in each of the listing titles may then be converted to semantic tokens in a token symbol space, based on a tokenization process. Thereafter, n-gram modeling may be performed on the tokens corresponding to each of the listing titles of the item listings in the particular product category. One or more dominant n-gram models associated with the listing titles of the item listings in the particular product category may then be identified.

Item listing categorization system

Techniques for generating a globally applicable taxonomy of e-commerce goods are described. According to various exemplary embodiments described herein, a taxonomy management system is configured to analyze item listing titles and user search queries in order to identify a set of globally applicable product types that serve as universal descriptors of the underlying things or objects that are the subject of an item listing or the likely user intended subject of a user search query. Such globally applicable product types are agnostic as to any specific product inventory or product category structure of an e-commerce website. After the taxonomy management system identifies product types, the taxonomy management system may incorporate the identified product types into a global product taxonomy that identifies the globally applicable product types.

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Palo Alto, CA, United States of America

Ming Liu