RELEVANCY RANKING INFORMATION RETRIEVAL SYSTEM AND METHOD OF USING THE SAME

• US 20150112976A1
• Filed: 10/17/2014
• Published: 04/23/2015
• Est. Priority Date: 10/17/2013
• Status: Abandoned Application

• Current Assignee: Nicole Lang Beebe
• Original Assignee: Nicole Lang Beebe
• Inventors: Beebe, Nicole Lang
• Application Number:
  US14/517,754
• Publication Number:
  US 20150112976A1
• Time in Patent Office: Days
• US Class Current: 707/723
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

Disclosed herein is a system and method of using the same for a relevancy ranking information retrieval system. In an embodiment, the system is configured for ranking hits in text string searching. A search query for one or more hits relevant to an investigation is received from, as an example and not a limitation, a user. A set of attributes and features of each attribute are extracted related to metadata for each of the one or more hits. A score of each attribute is calculated based on the metadata features, although not limited to ‘metadata’ information as typically defined in digital forensics. Further, weights are assigned to each of the one or more attribute features and a relevancy rank is generated for each of the one or more hits based on assigned weights and the attribute score by using a predefined relevancy-ranking algorithm that may be adjusted by user input.

Claims

1. A relevancy ranking information retrieval system comprising:

a computing device configured to receive at least one search hit, extracting and scoring attributes from said search hits;

assigning a relevancy rank for each said search hit based upon said attribute scores; and

sorting said search hits based upon said relevancy rank.

2. The system of claim 1, further configured for said extracting and scoring attributes are calculated based upon metadata analysis of said search hits.

3. The system of claim 2, wherein said attributes are comprised of block metadata features.

4. The system of claim 2, wherein said attributes are comprised of hit metadata features.

5. The system of claim 2, wherein said attributes are comprised of block metadata features and hit metadata features.

6. The system of claim 1, further configured for processing evidence images and based upon user input, performing search queries to obtain at least one search hit.

7. The system of claim 6, wherein said search queries are index based.

8. The system of claim 6, wherein said search queries are not index based.

9. The system of claim 1, further configured to present for display to said user said sorted search hits based upon said relevancy rank.

10. The system of claim 1, further configured for said extracting and scoring attributes are calculated based upon metadata analysis of said search hits, and for processing evidence images, and based upon user input, performing search queries to obtain at least one search hit;

wherein said attributes are comprised of block metadata features and hit metadata features; and

said system is further configured to present for display to said user said sorted search hits based upon said relevancy rank.

11. A relevancy ranking method comprising:

a first step of receiving at least one search hit;

a second step of extracting search hit attributes;

a third step of scoring search hit attributes;

a fourth step of assigning a relevancy rank for each said search hit based upon said attribute scores;

and a fifth step of sorting said search hits based upon said relevancy rank.

12. The method of claim 11, wherein said second step of extracting search hit attributes is calculated based upon metadata analysis of said search hits.

13. The method of claim 11, wherein said third step of scoring search hit attributes is calculated based upon metadata analysis of said search hits.

14. The method of claims 12 and 13, wherein said second step attributes are comprised of block metadata features.

15. The method of claims 12 and 13, wherein said second step attributes are comprised of hit metadata features.

16. The method of claims 12 and 13, wherein said second step attributes are comprised of block metadata features and hit metadata features.

17. The method of claim 11, wherein the first step is further comprised of the steps of processing evidence images and based upon user input, performing search queries to obtain at least one search hit.

18. The method of claim 17, wherein said first step search queries are index based.

19. The method of claim 17, wherein said first step search queries are non-index based.

20. The method of claim 11, further comprising a sixth step of presenting for display to said user said sorted search hits based upon said relevancy rank.