Methods and systems for assessing excessive accessory listings in search results

a technology of search results and accessory listings, applied in the field of methods and systems for assessing excessive accessory listings in search results, can solve problems such as miscategorized items, polluted items, and overwhelmed items

Inactive Publication Date: 2016-10-20
EBAY INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

Enhances the accuracy of item classification and search result ranking, improving user experience by ensuring relevant items are properly categorized and presented to users, thereby enhancing transaction efficiency.

Problems solved by technology

In certain instances, however, items may be miscategorized, or certain types of items may pollute or overwhelm the listings offered in a category.

Method used

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  • Methods and systems for assessing excessive accessory listings in search results
  • Methods and systems for assessing excessive accessory listings in search results
  • Methods and systems for assessing excessive accessory listings in search results

Examples

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Embodiment Construction

[0012]Although the present disclosure has been described with reference to specific example embodiments, it will be evident that various modifications and changes may be made to these embodiments without departing from the broader spirit and scope of the present disclosure. Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense.

[0013]In various embodiments, a system, method, and machine-readable storage medium storing a set of instructions for assessing excessive accessory listings in search results are disclosed. A processor-implemented textual mining module may parse a data field of a document and generate at least one token from the data field. A token may represent one or more words, symbols, or numbers extracted from the data field. A processor-implemented scoring module may calculate a score for the at least one token, with the at least one token score representing a likelihood that the at least one token belongs to on...

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Abstract

A system and method for generating a score for a listing are described. A data field of a listing is parsed and at least one element from the data field is generated. A score for the listing is calculated based on the at least one element, the listing score representing a probability of the listing being in one of two binary classifications. The listing score and one or more listing attribute values are inputted into a binary classifier. An output is generated using the binary classifier, the output representing a refined score for the listing based on the listing score and at least one of the listing attribute values.

Description

PRIORITY[0001]This application is a continuation of and claims the benefit of priority to U.S. patent Application Serial No. 13 / 082,226, filed on April 7, 2011, which is hereby incorporated by reference herein in its entirety.TECHNICAL FIELD[0002]Example embodiments of the present disclosure generally relate to methods and systems for assessing excessive accessory listings in search results.BACKGROUND[0003]A common feature of websites that facilitate electronic commerce is the classification and categorization of goods, services, or other assets (collectively, “items”) offered for sale. Classification of goods and services requires a balancing act between segmenting items into relevant categories to make the transacting experience efficient and user-friendly and ensuring that the categories remain broad enough that potential buyers and sellers can easily categorize or find items. In certain instances, however, items may be miscategorized, or certain types of items may pollute or ove...

Claims

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Application Information

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Patent Type & AuthorityApplications(United States)
IPC IPC(8): G06F17/30
CPCG06F17/3053G06F17/30867G06F16/9535G06F16/951G06F16/24578G06F16/9538
InventorYUAN, TED TAOMATHIESON, MICHAELKULKARNI, PARASHURAM
OwnerEBAY INC