SEARCHING, SORTING, AND DISPLAYING VIDEO CLIPS AND SOUND FILES BY RELEVANCE

• US 20130144856A1
• Filed: 01/29/2013
• Published: 06/06/2013
• Est. Priority Date: 06/13/2008
• Status: Active Grant

• Current Assignee: Relevant Holdings LLC
• Original Assignee: Inform, Inc. (CDC Corporation)
• Inventors: Peters, Gregory Alton, Hernacki, Paul Matthew
• Granted Patent: US 8,849,814 B2
• Time in Patent Office: Days
• US Class Current: 707/706
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/7844 using original textual content or text extracted from visual content or transcript of audio data
• CPC Class Codes: G06F 16/90324 using system suggestions
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

A documents database has a plurality of documents, including but not limited to text files, video clips and sound files. Each document is associated with at least one category of a plurality of categories in a categories database, and each category has at least one keyword. A search request having at least one search term is received from a user, and a categories database is searched for categories having a keyword corresponding to the user search term to identify first level categories. The other keywords from the identified first level categories are retrieved and the documents database is searched for documents having a user search term or a retrieved keyword. The identified documents are then ranked and presented to the user. Other search expansion techniques, and display techniques, are also discussed.

Claims

1. A method of ranking categories, each category having at least one keyword, each category having a plurality of associated documents, a search engine identifying relevant categories based upon a comparison of category keywords with search terms in a search request provided to the search engine, the method comprising:

assigning a score to each category using the relationship

2. The method of claim 1 further comprising

assigning to a document the highest score of the categories relevant to the document;

and

ranking the documents based upon the assigned scores.