Search engine methods and systems for generating relevant search results and advertisements

• US 20060004732A1
• Filed: 08/02/2005
• Published: 01/05/2006
• Est. Priority Date: 02/26/2002
• Status: Abandoned Application

• Current Assignee: DataCloud Technologies, LLC (IP Investments Group LLC)
• Original Assignee: DataCloud Technologies, LLC (IP Investments Group LLC)
• Inventors: Odom, Paul S.
• Application Number:
  US11/194,766
• Publication Number:
  US 20060004732A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9538 Presentation of query results

Abstract

The present invention provides search engine methods and systems for generating relevant search results and displaying relevant advertisements with those search results. The invention provides methods and systems for modeling and storing data in neutral forms, and then applying topification techniques to the data to generate search results that are relevant to a particular user'"'"'s search request. The invention also applies topification and relevancy methods to associate ads that are relevant to a user with the search results for display.

Claims

1. A method for displaying advertisements based on search results of data items within a set of information when a user enters a search constraint, comprising:

(a) conducting a search to generate the search results, wherein the search results include a set of data items contained within the set of information;

(b) determining a set of significant topics from the search results;

(c) identifying relevant advertisements that are related to the set of significant topics; and

(d) displaying a set of relevant advertisements.

2. The method of claim 1, wherein each topic comprises a word combination of two or more substantially contiguous words.

3. The method of claim 2, wherein two words are substantially contiguous if they are separated only by zero or more words selected from a predetermined list of words.

4. The method of claim 3, wherein the predetermined list of words comprise STOP words.

5. The method of claim 2, wherein at least one word in each of the word combinations is selected from a predetermined list of words.

6. The method of claim 5, wherein the predetermined list of words comprises a list of domain specific words. information located within a server, information located within a personal computer, information located on the Internet, or information contained within email messages or email attachments.

8. The method of claim 1, wherein data items includes one or more of text documents, graphic documents, audio files, video files, multimedia documents, email messages, email attachments, or Internet web page.

9. The method of claim 1, wherein conducting a search to generate search results comprises:

(i) identifying topics in a data corpus having a plurality of segments that is representative of the set of information, including;

aa. determining a segment-level actual usage value for one or more word combinations;

bb. computing a segment-level expected usage value for each of the one or more word combinations; and

cc. designating a word combination as a topic if the segment-level actual usage value of the word combination is substantially greater than the segment-level expected usage value of the word combination;

(ii) associating topics with each data item included within the set of information; and

(iii) determining that a data item should be included in the search results, when a topic entered by the user matches or is similar to a topic associated with the data item.

10. The method of claim 9, wherein a word combination includes two or more substantially contiguous words.

11. The method of claim 1, wherein determining a set of significant topics from the search results includes:

(i) counting the frequency of occurrence of each topic within the search results;

(ii) hierarchically ranking topics based on the frequency of occurrence of the topic; and

(iii) identifying a topic as among the set of significant topics when its frequency of occurrence ranks above the significant topic threshold, wherein the significant topic threshold is the number of topics to be included in the set of significant topics.

12. The method of claim 1, wherein determining the set of significant topics from the search results includes:

(i) for each topic determining a data item count, wherein the topic data item count is the number of data items within the search results that the topic appears in;

(ii) hierarchically ranking topics based on the data item count of the topic; and

(iii) identifying a topic to be included among the set of significant topics when its data item count ranks above the significant topic threshold, wherein the significant topic threshold is the number of topics to be included in the set of significant topics.

13. The method of claim 1, wherein determining the set of significant topics from the search results includes identifying the most specific topics.

14. The method of claim 13, wherein identifying the most specific topic includes:

(i) determining a preliminary set of most significant topics from the search results;

(ii) for each topic in the preliminary set of most significant topics counting the topic'"'"'s frequency of occurrence within the set of information;

(ii) identifying as the most specific topics those topics within the preliminary set of most significant topics that have the lowest frequency of occurrence within the set of documents, wherein the topic within the lowest frequency of occurrence within the set of information is given a ranking of 1, the topic with the second lowest frequency of occurrence within the set of information is given a ranking of 2, and so on; and

(iii) identifying a topic as among the most specific topics when its frequency of occurrence ranks above the specific topic threshold, wherein the specific topic threshold is the number of topics to be included in the most specific topics.

15. The method of claim 1, wherein identifying relevant advertisements that are related to the set of significant topic includes selecting an advertisement as relevant when a topic associated with the advertisement matches or is similar to one of the topics within the set of significant topics.

16. The method of claim 1, wherein identifying relevant advertisements that are related to the set of significant topics includes selecting an advertisement as relevant when a topic associated with the advertisement matches the top ranked topic within the set of significant topics.

17. The method of claim 1, wherein identifying relevant advertisements that are related to the set of significant topics includes selecting an advertisement as relevant when a topic associated with the advertisement is similar to a topic within the set of significant topics.

18. The method of claim 1, wherein displaying relevant advertisements includes:

(i) determining the maximum number of advertisements to display;

(ii) displaying relevant advertisements equal to the maximum number of advertisements that have the highest relevant advertisement display quotient, wherein the relevant advertisement quotient is a function of one or more of a relationship between the search constraint of the user and topics associated with relevant advertisements, a relationship between the set of significant topics and topics associated with relevant advertisements, existing click-throughs by a user to relevant advertisements, and premium financial payments by an advertiser to promote display of their advertisement.

19. The method of claim 18, wherein a relevant advertisement has the highest relevant advertisement quotient if a topic associated with the relevant advertisement is the same as the most significant topic.

21. The method of claim 1, wherein each topic comprises a word combination of two or more substantially contiguous words.

20. A method for displaying advertisements based on search results from data items within a set of information when a user enters a search constraint, comprising:

(a) conducting a search to generate the search results, wherein the search results include a set of data items contained within the set of information;

(b) ranking the search results by relevancy to determine the most relevant search results;

(c) determining a set of significant topics from the most relevant search results;

(d) identifying relevant advertisements that are related to the set of significant topics; and

(e) displaying the most relevant advertisements.

22. The method of claim 20, wherein ranking the search results by relevancy includes providing a relevancy rank for each data item in the search results based on one or more of what component of the search result contains the search constraint, a proximity of search text, and a level of semantics that had to be applied to the search result.

23. The method of claim 20, wherein ranking the search results by relevancy when the search results include Internet websites includes providing a relevancy rank for each data item in the search result based on one or more of what component of the search result contains the search constraint, a proximity of search text, a level of semantics that had to be applied to the search result, the popularity of the website search result and previous click-throughs by the user to the website search result.

24. The method of claim 23, wherein determining the set of significant topics from the most relevant search results includes:

(i) counting the frequency of occurrence of each topic within the most relevant search results;

(ii) hierarchically ranking topics based on the frequency of occurrence of the topic; and

(iii) identifying a topic as among the set of significant topics when its frequency of occurrence ranks above the significant topic threshold, wherein the significant topic threshold is the number of topics to be included in the set of significant topics.

25. The method of claim 20, wherein identifying relevant advertisements that are related to the set of significant topic includes selecting an advertisement as relevant when a topic associated with the advertisement is the same as one of the topics within the set of significant topics.

26. The method of claim 20, wherein identifying relevant advertisements that are related to the set of significant topics includes selecting an advertisement as relevant when a topic associated with the advertisement is the same as the top ranked topic within the set of significant topics.

27. The method of claim 20, wherein identifying relevant advertisements that are related to the set of significant topics includes selecting an advertisement as relevant when a topic associated with the advertisement is similar to a topic within the set of significant topics.

28. The method of claim 20, wherein displaying relevant advertisements includes:

(i) determining the maximum number of advertisements to display;

(ii) displaying relevant advertisements equal to the maximum number of advertisements that have the highest relevant advertisement display quotient, wherein the relevant advertisement quotient is a function of one or more of a relationship between the search constraint of the user and topics associated with relevant advertisements, a relationship between the set of significant topics and topics associated with relevant advertisements, existing click-throughs by a user to relevant advertisements, and premium financial payments by an advertiser to promote display of their advertisement.

29. The method of claim 28, wherein a relevant advertisement has the highest relevant advertisement quotient if a topic associated with the relevant advertisement is the same as the most significant topic.