MULTI-FACTOR CORRELATION OF INTERNET CONTENT RESOURCES

• US 20130066862A1
• Filed: 09/12/2011
• Published: 03/14/2013
• Est. Priority Date: 09/12/2011
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Orr, Richard Harvey James, Myers, Dirk, Saunders, Kimberly Maughan, Proano, Guillermo, Lehman, Edward James, Balsamo, Maria
• Application Number:
  US13/230,800
• Publication Number:
  US 20130066862A1
• Time in Patent Office: Days
• US Class Current: 707/728
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking

Abstract

Embodiments are directed to efficiently correlating internet resources and to providing relevant content to a user. In an embodiment, a computer system gathers portions of information from multiple different resources and organizes the gathered information into different indices according to at least one of the following data axes: author, topic and source. The computer system computes correlations between the organized information across the data axes so that each portion of information has relationship information linking it to other portions of organized information. The computer system also intelligently learns which other informational items are to be searched for based on the computed correlations and returns the additional data relevant to the gathered data.

Claims

1. At a computer system including at least one processor and a memory, in a computer networking environment including a plurality of computing systems, a computer-implemented method for efficiently correlating internet resources, the method comprising:

an act of gathering one or more portions of information from a plurality of different resources;

an act of organizing the gathered information into multiple different indices according to at least one of the following data axes;

author, topic and source; and

an act of computing correlations between the organized information across the data axes such that each portion of information has relationship information linking it to other portions of organized information.

2. The method of claim 1, further comprising an act of intelligently learning which other informational items are to be searched for based on the computed correlations, such that one or more portions of additional data relevant to the gathered data is returned.

3. The method of claim 1, wherein data correlations for each portion of information are weighted according to one or more of a plurality of weighting factors.

4. The method of claim 3, wherein, based on the determined weighting, a further search is performed for a given correlation.

5. The method of claim 1, further comprising implementing a user-configurable statement of relevance which suggests one or more portions of relevant data to a customer.

6. The method of claim 2, wherein the intelligent learning comprises determining the author of a given article, the readers or followers of that author, what other articles are similar and what other sources mention the article.

7. The method of claim 6, further comprising:

receiving from a user one or more keyword topics the user is interested in; and

in response to the received keyword topics, searching for one or more portions of relevant data, refined by author and source.

8. The method of claim 1, wherein the computed correlations create a relationship between an article and an author, between an article responder and the author and further determine, based on the created relationships, the type of relationship between the author and the reader.

9. The method of claim 8, wherein the type of relationship is confirmed by at least one of the author and the article reader, increasing the strength of that correlation.

10. The method of claim 1, wherein a user interface shows, for a given portion of information, a graphical representation of relationship information along at least one of the data axes.

11. The method of claim 1, wherein computing correlations between the organized information across the data axes includes implementing explicit, implicit and behavioral indications of correlation.

12. The method of claim 1, wherein organizing the gathered information into multiple different indices according to topic includes at least one of the following:

explicit term matching, synonym or equivalent term matching, subject-verb-object matching, approximate matching and semantic matching.

13. The method of claim 1, wherein organizing the gathered information into multiple different indices according to authorship includes at least one of the following:

explicit content declaration, explicit profile declaration, explicit administrative declaration, inference based on profile metadata, inference based on social promotion, inference based on textual analysis and topic, inference based on avatar, picture or video, inference based on social graph, inference based on textual reference, inference based on published location, inference based on activity patterns and topics, and disambiguation of ambiguous authorship.

14. The method of claim 1, wherein organizing the gathered information into multiple different indices according to source includes at least one of the following:

site identity, site usage patterns, site topic patterns, site locale, site actions and links to other sources, including direct linking, linking through proxy or link shorteners, linking through mutual linking, linking through indirect linking and linking through textual reference.

15. A computer program product for implementing a method for providing relevant content to a user, the computer program product comprising one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by one or more processors of the computing system, cause the computing system to perform the method, the method comprising:

an act of accessing one or more indices of organized information, wherein the information was organized according to interrelationships between at least two of the following data axes;

author, topic and source;

an act of computing correlations between the organized information across the data axes such that each portion of information has relationship information linking it to other portions of organized information;

an act of receiving from a user at least a partial identifier that is indexed on at least one of the data axes;

an act of initiating a search for information items related to the received identifier specified along at least one of the data axes; and

an act of providing the results of the search to the user.

16. The computer program product of claim 15, wherein the identifier identifies an association on at least one axis.

17. The computer program product of claim 15, wherein the identifier comprises a user-selected set of content items.

18. The computer program product of claim 15, further comprising learning, based on generated correlations, which other items are to be searched for and collected.

19. The computer program product of claim 15, wherein each information item related to the received identifier is tagged with a tag indicating one or more characteristics about the information item.

20. A computer system comprising the following:

one or more processors;

system memory;

one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, causes the computing system to perform a method for providing relevant content to a user, the method comprising the following;

an act of accessing one or more indices of organized information, wherein the information was organized according to interrelationships between at least two of the following data axes;

author, topic and source;

an act of computing correlations between the organized information across the data axes such that each portion of information has relationship information linking it to other portions of organized information;

an act of receiving from a user at least a partial identifier that is indexed on at least one of the data axes;

an act of initiating a search for information items related to the received identifier specified along at least one of the data axes;

an act of weighting the determined data correlations for each portion of information related to the received identifier, wherein the data correlations are weighted according to one or more of a plurality of weighting factors;

an act of performing a further search for at least one correlation determined to have a sufficiently high correlation weight; and

an act of providing the results of the search to the user.