RANK DOCUMENTS BASED ON POPULARITY OF KEY METADATA

• US 20100042610A1
• Filed: 08/15/2008
• Published: 02/18/2010
• Est. Priority Date: 08/15/2008
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Liu, Xuemin, Lakhani, Samir, Wong, Sandy
• Application Number:
  US12/192,819
• Publication Number:
  US 20100042610A1
• Time in Patent Office: Days
• US Class Current: N/A
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/38 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/383 using metadata automatically derived from the content
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/908 using metadata automatically derived from the content

Abstract

Ranking of documents by metadata popularity provides relevant search results in response to user search queries received by a search engine. Metadata popularity is determined by comparing metadata from a document with popularity data from one or more sources. In some embodiments, metadata popularity is determined based on a frequency with which extracted metadata appears in query logs. Search results are ordered based on metadata popularity and returned in response to the user search queries.

Claims

1. One or more computer-readable storage media embodying computer-useable instructions for performing a method of indexing one or more documents with metadata popularity, the method comprising:

identifying a source document;

extracting metadata from the source document based on a document classification for the source document, wherein the document classification determines a type of metadata for extraction;

comparing the extracted metadata from the source document to query log data to identify a query log frequency, wherein the query log frequency is a frequency with which the extracted metadata appears in search queries in the query log;

assigning a metadata popularity value to the extracted metadata based on query log frequency;

assigning the metadata popularity value to the source document; and

storing the metadata popularity value in association with indexed information for the source document.

2. The computer-readable media storage of claim 1, wherein extracting metadata from the source document comprises:

classifying the source document into one of a plurality of predefined document classifications; and

identifying the type of metadata for metadata extraction from the source document based on the document classification.

3. The computer-readable storage media of claim 2, wherein each of the plurality of predefined document classifications is associated with a predefined type of metadata for metadata extraction.

4. The computer-readable storage media of claim 3, wherein the predefined type of metadata for metadata extraction is identified and associated with each of the plurality of predefined document classifications based on human judgment.

5. The computer-readable storage media of claim 1, wherein the query log frequency comprises a frequency with which the extracted metadata appears in all of the search queries in the query log data.

6. The computer-readable storage media of claim 1, wherein the query log frequency comprises a frequency with which the extracted metadata appears in search queries in the query log data that have a classification matching the document classification for the source document.

7. The computer-readable storage media of claim 1, wherein the method further comprises:

receiving a search query; and

providing search results based on the search query wherein the search results correspond with the source document and a plurality of other source documents, and wherein the search results are ordered based at least in part on the metadata popularity value associated with the source document and other metadata popularity values associated with the other source documents.

8. A computer-implemented method for ordering search results based on metadata popularity, the method comprising:

receiving a user search query;

generating search results based on the user search query, wherein each search result corresponds with a document;

ordering the search results based at least in part on metadata popularity values stored in association with indexed information for the documents, wherein the metadata popularity values for the documents are based on popularity of relevant metadata from the documents identified from popularity data from one or more sources, and wherein the relevant metadata from the documents is identified based on document classifications for the documents; and

communicating the ordered search results in response to the user search query.

9. The method of claim 8, wherein generating search results based on the user search query comprises determining a query classification for the user search query.

10. The method of claim 9, wherein generating search results further comprises identifying documents that are relevant to the query classification.

11. The method of claim 9, wherein generating search results further comprises identifying documents from a document domain corresponding with the query classification.

12. The method of claim 8, wherein the metadata popularity values comprise ranks, and wherein ordering the search results comprises ordering the search results numerically by rank.

13. The method of claim 8, wherein the metadata popularity values for the documents are based on a frequency with which relevant metadata from the documents appears in all search queries in one or more query logs.

14. The method of claim 8, wherein the metadata popularity values for the documents are based on a frequency with which relevant metadata from the documents appears in a portion of search queries in one or more query logs, the portion of the search queries being selected based on query classification.

15. One or more computer-readable storage media embodying computer-useable instructions for performing a method of providing search results ordered based at least in part on metadata popularity, the method comprising:

identifying a source document;

identifying a document classification for the source document;

identifying a relevant metadata type based on the document classification for the source document;

extracting metadata of the relevant metadata type from the source document;

determining a frequency with which the extracted metadata appears in query log data;

assigning a metadata popularity value to the source document based on the frequency with which the extracted metadata appears in the query log data;

storing the metadata popularity value in an index containing information indexed for the source document;

receiving a user search query;

identifying a query classification for the user search query;

querying the index to identify relevant documents for the user search query based on the query classification, wherein the relevant documents include the source document and other documents;

generating search results based on the relevant documents, wherein the search results are ordered based at least in part on the metadata popularity value for the source document and other metadata popularity values for at least a portion of the other documents; and

providing the search results in response to the user search query.

16. The one or more-computer-readable storage media of claim 15, wherein the relevant metadata type for the document classification is predefined by human judgment.

17. The one or more computer-readable storage media of claim 15, wherein determining a frequency with which the extracted metadata appears in query log data comprises determining a frequency with which the extracted metadata appears in all search queries in the query log data.

18. The one or more computer-readable storage media of claim 15, wherein determining a frequency with which the extracted metadata appears in query log data comprises determining a frequency with which the extracted metadata appears in search queries in the query log data having a query classification corresponding with the document classification of the source document.

19. The one or more computer-readable storage media of claim 15, wherein the metadata popularity value comprises a rank.

20. The one or more computer-readable storage media of claim 19, wherein the search results are ordered in numerical order based on rank.