MATCHING SNIPPETS OF SEARCH RESULTS TO CLUSTERS OF OBJECTS

• US 20150032729A1
• Filed: 07/22/2014
• Published: 01/29/2015
• Est. Priority Date: 07/23/2013
• Status: Abandoned Application

• Current Assignee: Salesforce.com, Inc.
• Original Assignee: Salesforce.com, Inc.
• Inventors: Nachnani, Pawan, Jagota, Arun Kumar
• Application Number:
  US14/337,352
• Publication Number:
  US 20150032729A1
• Time in Patent Office: Days
• US Class Current: 707/722
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: G06F 16/38 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

Systems and methods are provided for matching snippets of search results to clusters of objects. A system searches information based on objects in a cluster of objects. The system extracts a data snippet from the search results. The system determines whether the data snippet includes data that matches at least one of the objects in the cluster of objects. The system adds the data snippet to the cluster of objects if the data snippet includes data that matches at least one of the objects in the cluster of objects.

Claims

1. A system for matching snippets of search results to clusters of objects, the system comprising:

one or more processors; and

a non-transitory computer readable medium storing a plurality of instructions, which when executed, cause the one or more processors to;

search for information based on objects in a cluster of objects;

extract a data snippet from the search results;

determine whether the data snippet includes data that matches at least one of the objects in the cluster of objects; and

add the data snippet to the cluster of objects in response to a determination that the data snippet includes data that matches at least one of the objects in the cluster of objects.

2. The system of claim 1, further comprising the step of storing the data snippet for matching with subsequent clusters of objects in response to a determination that the data snippet does not include data that matches at least one of the objects in the cluster of objects.

3. The system of claim 1, wherein the objects comprise at least one of a personal name, a company name, a geolocation, a job title, and contact information.

4. The system of claim 1, wherein determining whether the data snippet includes data that matches at least one of the objects in the cluster of objects comprises matching based on at least one of a first name alias and acronym expansion.

5. The system of claim 1, further comprising the steps of:

determining whether the data snippet includes data that matches at least one object in a second cluster of objects; and

combining the cluster of objects with the second cluster of objects in response to a determination that the data snippet includes data that matches at least one object in the second cluster of objects.

6. A computer program product comprising computer-readable program code to be executed by one or more processors when retrieved from a non-transitory computer-readable medium, the program code including instructions to:

search for information based on objects in a cluster of objects;

extract a data snippet from the search results;

determine whether the data snippet includes data that matches at least one of the objects in the cluster of objects; and

add the data snippet to the cluster of objects in response to a determination that the data snippet includes data that matches at least one of the objects in the cluster of objects.

7. The computer program product of claim 6, the program code further including instructions to store the data snippet for matching with subsequent clusters of objects in response to a determination that the data snippet does not include data that matches at least one of the objects in the cluster of objects.

8. The computer program product of claim 6, wherein the objects comprise at least one of a personal name, a company name, a geolocation, a job title, and contact information.

9. The computer program product of claim 6, wherein determining whether the data snippet includes data that matches at least one of the objects in the cluster of objects comprises matching based on at least one of a first name alias and acronym expansion.

10. The computer program product of claim 6, the program code further including instructions to:

determine whether the data snippet includes data that matches at least one object in a second cluster of objects; and

combine the cluster of objects with the second cluster of objects in response to a determination that the data snippet includes data that matches at least one object in the second cluster of objects.

11. A method for matching snippets of search results to clusters of objects, the method comprising:

searching for information based on objects in a cluster of objects;

extracting a data snippet from the search results;

determining whether the data snippet includes data that matches at least one of the objects in the cluster of objects; and

adding the data snippet to the cluster of objects in response to a determination that the data snippet includes data that matches at least one of the objects in the cluster of objects.

12. The method of claim 11, the method further comprising storing the data snippet for matching with subsequent clusters of objects in response to a determination that the data snippet does not include data that matches at least one of the objects in the cluster of objects.

13. The method of claim 11, wherein the objects comprise at least one of a personal name, a company name, a geolocation, a job title, and contact information.

14. The method of claim 11, wherein determining whether the data snippet includes data that matches at least one of the objects in the cluster of objects comprises matching based on at least one of a first name alias and acronym expansion.

15. The method of claim 11, the method further comprising:

determining whether the data snippet includes data that matches at least one object in a second cluster of objects; and

combining the cluster of objects with the second cluster of objects in response to a determination that the data snippet includes data that matches at least one object in the second cluster of objects.

16. A method for transmitting code for matching snippets of search results to clusters of objects, the method comprising:

transmitting code to search for information based on objects in a cluster of objects;

transmitting code to extract a data snippet from the search results;

transmitting code to determine whether the data snippet includes data that matches at least one of the objects in the cluster of objects; and

transmitting code to add the data snippet to the cluster of objects in response to a determination that the data snippet includes data that matches at least one of the objects in the cluster of objects.

17. The method for transmitting code of claim 16, the method further comprising storing the data snippet for matching with subsequent clusters of objects in response to a determination that the data snippet does not include data that matches at least one of the objects in the cluster of objects.

18. The method for transmitting code of claim 16, wherein the objects comprise at least one of a personal name, a company name, a geolocation, a job title, and contact information.

19. The method for transmitting code of claim 16, wherein determining whether the data snippet includes data that matches at least one of the objects in the cluster of objects comprises matching based on at least one of a first name alias and acronym expansion.

20. The method for transmitting code of claim 16, the method further comprising:

determining whether the data snippet includes data that matches at least one object in a second cluster of objects; and

combining the cluster of objects with the second cluster of objects in response to a determination that the data snippet includes data that matches at least one object in the second cluster of objects.