Semantic context based keyword search techniques

• US 9,589,050 B2
• Filed: 04/07/2014
• Issued: 03/07/2017
• Est. Priority Date: 04/07/2014
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Tao, Jim J.
• Primary Examiner(s): Perveen, Rehana
• Assistant Examiner(s): Skhoun, Hicham
• Application Number:
  US14/247,054
• Publication Number:
  US 20150286708A1
• Time in Patent Office: 1,065 Days
• Field of Search: 707/730
• US Class Current: 1/1
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

Provided are semantic context based keyword search techniques. A query with one or more keywords, one or more relevant words, and one or more selected services is received. A general relevance indicator for services in a category is calculated based on keyword relevance indicators of the one or more keywords in the query for each service among services in the category and relevant word relevance indicators of the one or more relevant words in the query for the services in the category. The services in the category are ranked based on the general relevance indicator for each service. In response to determining that at least one of the selected services is not ranked high with reference to the ranked services in the category, at least one of: one or more additional keywords, one or more additional relevant words, and one or more additional services to provide as recommendations are identified.

Claims

1. A method, comprising:

receiving, with a processor of a computer, a query with keywords that each identify a key concept, relevant words that capture a context of the keywords, and one or more selected services;

calculating a general relevance indicator for each service among services in a category using;

2. The method of claim 1, further comprising:

identifying one of an inaccurate keyword and an inaccurate relevant word.

3. The method of claim 1, further comprising:

identifying new keywords and relevant words associated with non-top-ranked services; and

recommending the new keywords and relevant words to be added to the query.

4. The method of claim 1, further comprising:

identifying keywords and relevant words that are candidates to be removed from the query; and

recommending that the keywords and relevant words be removed from the query.

5. The method of claim 1, wherein a Software as a Service (SaaS) is configured to perform method operations.

6. A computer system, comprising:

one or more processors, one or more computer-readable memories and one or more computer-readable, tangible storage devices; and

program instructions, stored on at least one of the one or more computer-readable, tangible storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to perform;

receiving a query with keywords that each identify a key concept, relevant words that capture a context of the keywords, and one or more selected services;

calculating a general relevance indicator for each service among services in a category using;

7. The computer system of claim 6, wherein the program instructions, stored on at least one of the one or more computer-readable, tangible storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, perform:

identifying one of an inaccurate keyword and an inaccurate relevant word.

8. The computer system of claim 6, wherein the program instructions, stored on at least one of the one or more computer-readable, tangible storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, perform:

identifying new keywords and relevant words associated with non-top-ranked services; and

recommending the new keywords and relevant words to be added to the query.

9. The computer system of claim 6, wherein the program instructions, stored on at least one of the one or more computer-readable, tangible storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, perform:

identifying keywords and relevant words that are candidates to be removed from the query; and

recommending that the keywords and relevant words be removed from the query.

10. The computer system of claim 6, wherein a Software as a Service (SaaS) is configured to perform computer system operations.

11. A computer program product, the computer program product comprising a non-transitory computer readable storage medium having program code embodied therewith, the program code executable by at least one processor to perform:

receiving, by the at least one processor, a query with keywords that each identify a key concept, relevant words that capture a context of the keywords, and one or more selected services;

calculating, by the at least one processor, a general relevance indicator for each service among services in a category using;

12. The computer program product of claim 11, wherein the program code is executable by at least one processor to perform:

identifying, by the at least one processor, one of an inaccurate keyword and an inaccurate relevant word.

13. The computer program product of claim 11, wherein the program code is executable by at least one processor to perform:

identifying , by the at least one processor, new keywords and relevant words associated with non-top-ranked services; and

recommending, by the at least one processor, the new keywords and relevant words to be added to the query.

14. The computer program product of claim 11, wherein a Software as a Service (SaaS) is configured to perform computer program product operations.

15. The computer program product of claim 11, wherein the program code is executable by at least one processor to perform:

identifying, by the at least one processor, keywords and relevant words that are candidates to be removed from the query; and

recommending, by the at least one processor, that the keywords and relevant words be removed from the query.