Method and system of suggesting information used with items offered for sale in a network-based marketplace

• US 9,779,440 B2
• Filed: 09/13/2016
• Issued: 10/03/2017
• Est. Priority Date: 02/28/2007
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Gupta, Raghav, Huang, Shen, Wu, Xiaoyuan, Wang, Qiang
• Primary Examiner(s): Lu, Charles
• Application Number:
  US15/264,249
• Publication Number:
  US 20170004556A1
• Time in Patent Office: 385 Days
• CPC Class Codes: G06F 16/30 of unstructured textual data document management systems G06F16/93
• CPC Class Codes: G06F 16/332 Query formulation
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: G06F 16/3349 Reuse of stored results of previous queries
• CPC Class Codes: G06F 16/90324 using system suggestions
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/0625 Directed, with specific intent or strategy

Abstract

Methods and systems to suggest information to be used with an item being listed for sale may include analyzing a plurality of stored entries of words and identifying certain entries based on desirability scores associated with those entries. The entries and the desirability scores may be identified based on their frequency of use in the plurality of stored entries and/or in the title information or other information associated with items offered for sale.

Claims

1. A computer-implemented method, comprising:

receiving a title of an item being listed;

identifying stored search queries that would cause the item being listed to be included in a search result;

determining relevance of the title as related to each of the identified search queries;

sorting the identified search queries based on the determined relevance of the title;

determining a desirability score, the determining comprising;

extracting terms from each of the search queries;

adding the extracted terms to a set of stored terms to generate updated stored terms; and

for each extracted term, calculating a demand percentage based on the updated stored terms;

based on the sorted identified search queries, retrieving, by a hardware processor, a desirability score for a term included in the identified search queries, the desirability score being based on the demand percentage;

generating a suggestion of a modification to the title, the suggestion of the modification including the term and the corresponding retrieved desirability score; and

transmitting instructions to a client machine that causes the client machine to display the suggestion of the modification including the term, the corresponding retrieved desirability score, and an option to add or remove the suggested term.

2. The method of claim 1, further comprising:

identifying co-occurring terms in the stored search queries; and

matching a term found in the title with the identified co-occurring terms,

wherein the generating the suggestion of the modification comprises including at least a subset of the matching identified co-occurring terms that match the terms found in the title.

3. The method of claim 1, wherein the determining the desirability score further comprises:

determining a total occurrence of unique terms in titles of stored items; and

determining a supply percentage of each unique term based on the total occurrence.

4. The method of claim 3, wherein the desirability score is further based on the supply percentage.

5. The method of claim 1, further comprising:

retrieving pairs of the suggested term and the corresponding desirability score from a terms and desirability scores table in a database.

6. A system, comprising:

one or more processors; and

a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising;

receiving a title of an item being listed;

identifying stored search queries that would cause the item being listed to be included in a search result;

determining relevance of the title as related to each of the identified search queries;

sorting the identified search queries based on the determined relevance of the title;

determining a desirability score, the determining comprising;

extracting terms from each of the search queries;

adding the extracted terms to a set of stored terms to generate updated stored terms; and

for each extracted term, calculating a demand percentage based on the updated stored terms;

based on the sorted identified search queries, retrieving a desirability score for a term included in the identified search queries, the desirability score being based on the demand percentage;

generating a suggestion of a modification to the title, the suggestion of the modification including the term and the corresponding retrieved desirability score; and

transmitting instructions to a client machine that causes the client machine to display the suggestion of the modification including the term, the corresponding retrieved desirability score, and an option to add or remove the suggested term.

7. The system of claim 6, wherein the operations further comprise:

identifying co-occurring terms in the stored search queries; and

matching a term found in the title with the identified co-occurring terms,

wherein the generating the suggestion of the modification comprises including at least a subset of the matching identified co-occurring terms that match the terms found in the title.

8. The system of claim 6, wherein the determining the desirability score further comprises:

determining a total occurrence of unique terms in titles of stored items; and

determining a supply percentage of each unique term based on the total occurrence.

9. The system of claim 8, wherein the desirability score is further based on the supply percentage.

10. The system of claim 6, wherein the operations further comprise:

retrieving pairs of the suggested term and the corresponding desirability score from a terms and desirability scores table in a database.

11. A computer-readable hardware storage device having stored therein a set of program instructions which, when executed by the computer causes the computer to perform operations comprising:

receiving a title of an item being listed;

identifying stored search queries that would cause the item being listed to be included in a search result;

determining relevance of the title as related to each of the identified search queries;

sorting the identified search queries based on the determined relevance of the title;

determining a desirability score, the determining comprising;

extracting terms from each of the search queries;

adding the extracted terms to a set of stored terms to generate updated stored terms; and

for each extracted term, calculating a demand percentage based on the updated stored terms;

based on the sorted identified search queries, retrieving a desirability score for a term included in the identified search queries, the desirability score being based on the demand percentage;

generating a suggestion of a modification to the title, the suggestion of the modification including the term and the corresponding retrieved desirability score; and

transmitting instructions to a client machine that causes the client machine to display the suggestion of the modification including the term, the corresponding retrieved desirability score, and an option to add or remove the suggested term.

12. The storage medium of claim 11, wherein the operations further comprise:

identifying co-occurring terms in the stored search queries; and

matching a term found in the title with the identified co-occurring terms,

wherein the generating the suggestion of the modification comprises including at least a subset of the matching identified co-occurring terms that match the terms found in the title.

13. The storage medium of claim 11, wherein the determining the desirability score further comprises:

determining a total occurrence of unique terms in titles of stored items; and

determining a supply percentage of each unique term based on the total occurrence.

14. The storage medium of claim 13, wherein the desirability score is further based on the supply percentage.

15. The storage medium of claim 11, wherein the operations further comprise:

retrieving pairs of the suggested term and the corresponding desirability score from a terms and desirability scores table in a database.