METHODS AND APPARATUS FOR VISUALIZING, MANAGING, MONETIZING, AND PERSONALIZING KNOWLEDGE SEARCH RESULTS ON A USER INTERFACE

• US 20070203903A1
• Filed: 02/28/2007
• Published: 08/30/2007
• Est. Priority Date: 02/28/2006
• Status: Active Grant

• Current Assignee: NetSeer, Inc. (Inuvo, Inc.)
• Original Assignee: ILIAL, INC.
• Inventors: Attaran Rezaei, Behnam, Muntz, Alice
• Granted Patent: US 8,843,434 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/904 Browsing; Visualisation therefor for navigating the web G06F16/954; browsing optimisation for the web G06F16/957
• CPC Class Codes: G06F 16/954 Navigation, e.g. using categorised browsing
• CPC Class Codes: Y10S 707/99932 Access augmentation or optimizing
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99934 Query formulation, input preparation, or translation

Abstract

Systems and methods are described that facilitate exploration and mining of a corpus of documents using concepts and knowledge, rather than keywords and enable interactive visualization, management, monetization, and personalization of knowledge search results on a user interface. Underlying documents can be mapped into overlapping clusters of knowledge dimensions and the documents can be further partitioned into narrower knowledge dimensions, resulting in a hierarchical structure. Content of knowledge dimensions may be filtered using a knowledge dimension map. Knowledge may be personalized by a user and shared in collaborative and social networks. Knowledge-based advertisement systems and methods are described that associate products and services with knowledge dimensions and concepts. Advertisers can bid on concepts and KDs. Systems and methods are described that distribute a percentage of CPC revenue among content owners and provide revenue to content providers based on relevancy scores.

Claims

1. A method for organizing a body of documents, comprising:

mapping a plurality of documents to a knowledge dimension, wherein each of the mapped documents is characterized by one or more concepts associated with the knowledge dimension, and wherein the one or more concepts are calculated from the content of the mapped documents;

ordering the mapped documents based on relevance of the one or more concepts to the mapped documents; and

providing an overall concept identifying the knowledge dimension.

2. The method of claim 1, wherein the mapping includes linking a combination of documents in the plurality of documents, each document in the combination of documents having at least one concept in common with the other documents in the combination.

3. The method of claim 2, wherein documents in the combination are linked based on relevance of the at least one concept.

4. The method of claim 3, wherein relevance is derived from an analysis of the document.

5. The method of claim 2, wherein documents in the combination are linked based on predefined structural links.

6. The method of claim 5, wherein the predefined structural links include URLs.

7. The method of claim 1, and further comprising mapping one or more of the plurality of documents to a knowledge sub-dimension, wherein each of the one or more documents is characterized by a subset of the one or more concepts.

8. The method of claim 7, wherein the ordering includes arranging a plurality of knowledge sub-dimensions in an order determined by relevance of corresponding subsets of concepts to a selected concept.

9. The method of claim 8, wherein the selected concept is derived from a query.

10. The method of claim 7, wherein the ordering includes ranking documents within the knowledge sub-dimension based on relevance of each document in the knowledge sub-dimension to a selected concept, wherein the selected concept is derived from a query.

11. A method for targeting advertisements in a search of knowledge dimensions, comprising:

mapping a plurality of documents to a knowledge dimension, each of the mapped documents being characterized by one or more concepts identified with the knowledge dimension, wherein the one or more concepts are calculated from the content of the mapped documents;

selecting an advertisement with at least one of the one or more concepts;

determining relevance of the at least one concept to the mapped documents; and

providing the selected advertisement to a user when the at least one concept is determined to be relevant to the mapped documents.

12. The method of claim 11, wherein determining relevance includes ranking the one or more concepts and identifying a relevance percentile in which the at least one concept lies with respect to the other concepts.

13. The method of claim 11, wherein the knowledge dimension includes one or more knowledge sub-dimensions characterized by a subset of the one or more concepts identified with the knowledge dimension and further comprising associating the knowledge sub-dimension with combinations of the plurality of documents identified with at least one of the subset of concepts.

14. The method of claim 12, wherein the determining relevance includes:

arranging the one or more knowledge sub-dimensions in an order determined by the relevance of the subset of concepts to at least one concept;

calculating relevance of the at least one concept to each document within a percentage of the highest ranked one or more knowledge sub-dimensions based; and

providing the relevance of the at least one concept as a percentile of documents in which the at least one concept lies.

15. The method of claim 11, wherein the selecting includes:

receiving bids for the at least one concept; and

selecting an advertisement associated with the highest received bid.

16. The method of claim 11, wherein the selecting is based on a combination of factors including a number of expected viewers of the advertisement, a cost-per-click associated with the advertisement and viewer feedback.

17. The method of claim 11, and further comprising receiving payment from a provider of the selected advertisement subsequent to the step of providing the selected advertisement.

18. The method of claim 17, and further comprising sharing a portion of the payment with one or more providers of the mapped documents.

19. The method of claim 18, wherein the one or more providers of mapped documents provide a percentage of the documents most relevant to the at least one concept.

20. A method for monetizing content provided by a web search, comprising:

placing an advertisement responsive to identifying a concept in documents resulting from a search initiated by a user; and

responsive to selection of the advertisement by the user, identifying a monetary value due a provider of one of the documents based on the relevancy of the one document to the concept and the relevancy of the advertisement to the concept.

21. The method of claim 20, and further comprising identifying another monetary value due the provider upon selection by the user of an advertisement within the one document.

22. The method of claim 20, wherein the amount of the monetary value is based on the relevancy of the document to the advertisement.

23. The method of claim 20, wherein the amount of the monetary value is based on the relative locations of the advertisement and the document in a display of the results of the search.

24. The method of claim 20, the documents are mapped to a common knowledge dimension, wherein each of the documents is characterized by one or more common concepts associated with the knowledge dimension, and wherein the one or more common concepts are calculated from the content of the documents.

25. The method of claim 24, wherein documents are ordered based on relevance of the one or more concepts to the mapped documents.

26. The method of claim 24, wherein the one or more common concepts includes the identified concept.