INTELLIGENT SEARCH WITH GUIDING INFO

• US 20080104047A1
• Filed: 12/22/2005
• Published: 05/01/2008
• Est. Priority Date: 02/16/2005
• Status: Active Grant

• Current Assignee: Transaxtions LLC
• Original Assignee: Transaxtions LLC
• Inventors: Nagarajayya, Nagendra
• Granted Patent: US 7,792,811 B2
• Time in Patent Office: Days
• US Class Current: 707/5
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing
• CPC Class Codes: G06F 16/36 Creation of semantic tools, e.g. ontology or thesauri
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

Every presence has needs. A need could be consumer electronics, loans, autos, or knowledge, etc. The presence uses search engines to become knowledgeable about the need. The current search engines are not intelligent. The idea of the invention is to provide more accurate results and semantically linked results through an intelligent index. The invention uses results from known, semantic and unknown indexes with Guiding Information to return the most relevant results to the users.

Claims

1. A method for searching on the internet or intranet in a computer based system, the method comprising:

An intelligent index with feedback, said intelligent index is made up of multiple indexes, a known index, a semantic index and an unknown index;

said known index is comprised of known terms, said semantic index is comprised of relationships, directives, etc., said unknown index is comprised of terms associated with popularity weights;

said popularity weights linked to feedback from a plurality of users;

said feedback allows learning the semantic meaning of a term;

said feedback is fed back to the intelligent index;

storing the said feedback and popularity weights in a datastore;

said popularity weights and feedback act as memory;

said intelligent index is associated with guiding information and guide selections to provide expert information about a term.

2. A method according to claim 1 wherein the intelligent index is used to present results to a plurality of users;

said presentation maybe in the form of known index results, semantic index results, unknown index results;

said presentation may include guiding information and guide selections;

said presentation may include feedback mechanism;

said presentation may include popularity information.

3. A method according to claim 1 wherein the intelligent index is used to present results and obtain feedback from a plurality of users;

said presentation may include guiding information and guide selections, said presentation may include feedback mechanism;

said presentation may include popularity information.

4. A method according to claim 1 wherein the known index comprised of known terms can be based on presence, time, season, and locality;

said known index can be associated with guiding information and guide selections;

said known index can be presented to a plurality of users;

said plurality of users can provide feedback;

said feedback can be used to weight known terms;

said weight is used to rank the results returned to a plurality of users;

said weights are stored in a data store;

said weights and said feedback act as popularity of the links shown;

said feedback and weights act as memory;

said memory is used to return intelligent results back to a plurality of users.

5. A method according to claim 1 wherein the semantic index comprised of relationships and directives, rephrases search terms, directs searches to context specific websites, which could be based on presence, time, season, locality;

said context specific information based on presence, time, season and locality can be associated with the intelligent index associated with guiding information and guide selections;

said semantic index can be presented to a plurality of users;

said plurality of users can provide feedback;

said feedback can be used to weight semantic terms;

said weight is used to rank the results returned to a plurality of users;

said weights are stored in a data store;

said weights and said feedback act as popularity of the links shown;

said feedback and weights act as memory;

said memory is used to return intelligent results back to a plurality of users.

6. A method according to claim 1 wherein the unknown index comprising of unknown terms is presented to a plurality of users;

said plurality of users provide feedback;

said feedback is used to weight the unknown term;

said weight is used to rank the results returned to a plurality of users;

said weights are stored in a data store;

said weights and said feedback act as popularity of the links shown;

said feedback and weights allow learning semantic meaning of the unknown term;

said feedback and weights act as memory;

said memory is used to return intelligent results back to a plurality of users;

said memory allows an unknown term to become a known term, allowing it to be presented in the known or semantic index.

7. A method according to claim 1 wherein the intelligent index can be associated with guiding information and guide selections allowing guiding information and guide selections to be presented to a plurality of users providing expert information about a search term.

8. A program storage device readable by a machine, tangibly embodying a program of instructions readable by a machine to perform a method of searching on the intranet or the intranet using an intelligent index with feedback;

said intelligent index comprising of a known, semantic and unknown index;

said known index is comprised of known terms, said semantic index is comprised of relationships, directives, etc., said unknown index is comprised of terms associated with popularity weights;

said popularity weights linked to feedback from a plurality of users;

said feedback allows learning the semantic meaning of a term;

said feedback is fed back to the intelligent index;

said popularity weights and feedback act as memory;

said intelligent index is associated with guiding information and guide selections to provide expert information about a term.

9. A program storage device according to claim 8 wherein the intelligent index is used to present results to a plurality of users;

said presentation maybe in the form of known index results, semantic index results, unknown index results;

said presentation may include guiding information and guide selections;

said presentation may include feedback mechanism;

said presentation may include popularity information.

10. A program storage device according to claim 8 wherein the intelligent index is used to present results and obtain feedback from a plurality of users;

said presentation may include guiding information and guide selections;

said presentation may include feedback mechanism;

said presentation may include popularity information.

11. A program storage according to claim 8 wherein the known index comprised of known terms can be based on presence, time, season, and locality;

said known index can be associated with guiding information and guide selections;

said known index can be presented to a plurality of users;

said plurality of users can provide feedback;

said feedback can be used to weight known terms;

said weight is used to rank the results returned to a plurality of users;

said weights are stored in a data store;

said weights and said feedback act as popularity of the links shown;

said feedback and weights act as memory;

said memory is used to return intelligent results back to a plurality of users.

12. A program storage device according to claim 8 wherein the semantic index comprised of relationships and directives, rephrases search terms, directs searches to context specific websites, which could be based on presence, time, season, and locality;

said context specific information based on presence, time, season and locality can be associated with the intelligent index associated with guiding information and guide selections;

said semantic index can be presented to a plurality of users;

said plurality of users can provide feedback;

said feedback can be used to weight semantic terms;

said weight is used to rank the results returned to a plurality of users;

said weights are stored in a data store;

said weights and said feedback act as popularity of the links shown;

said feedback and weights act as memory;

said memory is used to return intelligent results back to a plurality of users.

13. A program storage device according to claim 8 wherein the unknown index comprising of unknown terms is presented to a plurality of users;

said plurality of users provide feedback;

said feedback is used to weight the unknown term;

said weight is used to rank the results returned to a plurality of users;

said weights are stored in a data store;

said weights and said feedback act as popularity of the links shown;

said feedback and weights allow learning the semantic meaning of the unknown term;

said feedback and weights act as memory;

said memory is used to return intelligent results back to a plurality of users;

said memory allows an unknown term to become a known term, allowing it to be presented in the known or semantic index.

14. A program storage device according to claim 8 where the intelligent index can be associated with guiding information and guide selections allowing guiding information and guide selections to be presented to a plurality of users providing expert information about a search term.

15. An apparatus for making available a search on the intranet or the internet using an intelligent index with feedback in a computer based system, the apparatus comprising:

A Known index;

A Semantic index;

An Unknown index;

A plurality of users;

An intelligent index;

Feedback;

Popularity weights;

Guiding Information with Guide Selections;

Said apparatus is used to perform a search on the intranet or the intranet using, said intelligent index with feedback;

said intelligent index is comprised of a known, semantic and unknown index;

said known index is comprised of known terms, said semantic index is comprised of relationships, directives, etc., said unknown index is comprised of terms associated with popularity weights;

said plurality of users provide feedback linked to popularity weights;

said feedback allows learning the semantic meaning of a term;

said feedback is fed back to the intelligent index;

said popularity weights and feedback act as memory;

said intelligent index is associated with guiding information and guide selections to provide expert information about a term.

16. The apparatus according to claim 15 wherein the intelligent index is used to present results to a plurality of users;

said presentation maybe in the form of known index results, semantic index results, unknown index results;

said presentation may include guiding information and guide selections;

said presentation may include feedback mechanism;

said presentation may include popularity information.

17. The apparatus according to claim 15 wherein the intelligent index is used to present results and obtain feedback from a plurality of users;

said presentation may include guiding information and guide selections;

said presentation may include feedback mechanism;

said presentation may include popularity information.

18. The apparatus according to claim 15 wherein the known index comprised of known terms can be based on presence, time, season, and locality;

said known index can be associated with guiding information and guide selections;

said known index can be presented to a, plurality of users;

said plurality of users can provide feedback;

said feedback can be used to weight known terms;

said weight is used to rank the results returned to a plurality of users;

said weights are stored in a data store;

said weights and said feedback act as popularity of the links shown;

said feedback and weights act as memory;

said memory is used to return intelligent results back to a plurality of users.

19. The apparatus according to claim 15 wherein the semantic index comprised of relationships and directives, rephrases search terms, directs searches to context specific websites, which could be based on presence, time, season, and locality;

said context specific information based on presence, time, season and locality can be associated with the intelligent index associated with guiding information and guide selections;

said semantic index can be presented to a plurality of users;

said plurality of users can provide feedback;

said feedback can be used to weight semantic terms;

said weight is used to rank the results returned to a plurality of users;

said weights are stored in a data store;

said weights and said feedback act as popularity of the links shown;

said feedback and weights act as memory;

said memory is used to return intelligent results back to a plurality of users.

20. The apparatus according to claim 15 wherein the unknown index comprising of unknown terms is presented to a plurality of users;

said plurality of users provide feedback;

said feedback is used to weight the unknown term;

said weight is used to rank the results returned to a plurality of users;

said weights are stored in a data store;

said weights act as popularity of the links shown;

said feedback and weight allow learning the semantic meaning of the unknown term;

said feedback and weights act as memory;

said memory is used to return intelligent results back to a plurality of users;

said feedback, weights and memory allow an unknown term to become a known term, allowing it to be presented in the known or semantic index.

21. The apparatus according to claim 15 wherein the intelligent index can be associated with guiding information and guide selections allowing guiding information and guide selections to be presented to a plurality of users providing expert information about a search term.