METHOD AND SYSTEM OF PROCESSING A QUERY USING HUMAN ASSISTANTS

• US 20110106617A1
• Filed: 10/29/2010
• Published: 05/05/2011
• Est. Priority Date: 10/29/2009
• Status: Abandoned Application

• Current Assignee: ChaCha Search, Inc.
• Original Assignee: ChaCha Search, Inc.
• Inventors: Cooper, Thomas E, Jones, Scott A.
• Application Number:
  US12/915,379
• Publication Number:
  US 20110106617A1
• Time in Patent Office: Days
• US Class Current: 705/14.49
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0251 Targeted advertisements

Abstract

A system and method of providing information to improve efficiency of human searchers obtaining information on behalf of users is described. A query is processed to improve its form prior to being presented to a human searcher. A type associated with a query is determined which may affect a probability that a human searcher will respond to the query. Actions of a human searcher may be used to modify automated processing and decision making for processing of a query.

Claims

1. A computer-implemented method, comprising:

modifying an original query received based on a processing applied to the original query prior to performing a search; and

performing the search using the modified query and providing a response to the query as a result of the search.

2. The computer-implemented method of claim 1, comprising:

removing a portion of the original query based on content of previous queries.

3. The computer-implemented method of claim 2, comprising:

comparing a trailing or leading character series of the original query to an equal length trailing or leading character series of a predetermined number of previous queries; and

storing the trailing or leading character series when determining that a match occurs with a predetermined frequency.

4. The computer-implemented method of claim 1, comprising:

determining whether an automated response to the original query is used based on an automated comparison of selected historical queries to a query history of a user associated with the original query.

5. The computer-implemented method of claim 1, comprising:

comparing the modified query to a database of queries associated with a verified response; and

providing the verified response in preference to results associated with other queries matching the modified query.

6. The computer-implemented method of claim 1, comprising:

obtaining a ranked list of queries matching the modified query;

determining a normalized matching between the ranked queries; and

ranking search results associated with a predetermined number of the ranked queries which have a normalized matching which differs by less than a predetermined value.

7. The computer-implemented method of claim 1, comprising:

providing the response to a human searcher;

receiving a second modified query from the human searcher;

performing the search using the second modified query;

providing a query and a response selected using the second modified query to the human searcher; and

modifying a ranking of the query and the response when the query and the response are not selected by the human searcher.

8. The computer-implemented method of claim 1, comprising:

determining a probability that response to the modified query can be obtained automatically;

providing the response to a human searcher selected based on a category automatically assigned to the query when determining that the probability is below a predetermined value; and

providing the response to a generalist human searcher determining that the probability is not below the predetermined value.

9. The computer-implemented method of claim 1, comprising:

obtaining from an indexed database a plurality of queries matching the modified query;

calculating a magnitude associated with the modified query;

calculating a magnitude associated with each of the plurality of queries;

calculating an intersection of each of the plurality of queries with the modified query;

calculating a distance between the modified query and each of the plurality of queries based on the magnitude associated with each of the plurality of queries and the intersection of the modified query with each of the plurality of queries;

selecting a subset of the plurality of queries based on the distance;

obtaining rating values associated with answers associated with the subset;

ranking the answers based on the rating values; and

providing a highest ranking answer as the response.

10. The computer-implemented method of claim 1, comprising:

selecting an advertisement based on a keyword of the original query;

delivering the advertisement to a verifier; and

delivering the advertisement to a user associated with the original query.

11. A system, comprising:

a search service device receiving a search query, performing a natural language processing of the search query, comparing the search query to a corpus of requests, and determining a process for responding to the search query;

a searcher device receiving information of the search query, and providing a response to the search query; and

a database including information of search queries and search results.

12. The system of claim 11, comprising:

an advertiser device providing advertisements;

a user device submitting the search query, receiving an advertisement, and responding to the advertisement; and

a verification device receiving messages from the user device, the search service device, and the advertiser device and confirming delivery of the messages wherein the messages are mobile media messages.

13. A computer-implemented method, comprising:

receiving a search request;

determining whether the search request refers to historical information; and

selecting an automated process for responding to the search request based on the determining.

14. The computer-implemented method of claim 13, comprising:

comparing content of the search request to a plurality of keywords;

inhibiting an automated response when determining that the content of the search request matches the plurality of keywords; and

notifying a guide selected to respond to the search request of the matching.

15. The computer-implemented method of claim 13, comprising:

comparing content of the search request to a plurality of keywords;

examining a previous query associated with a user submitting the search request;

determining whether the search request refers to the previous query; and

processing the search request based on the determining by decreasing a probability that an automated search result will be provided.

16. The computer-implemented method of claim 13, comprising:

receiving from a guide an indication that a stored query is related to the search request; and

providing the stored query and a search resource associated with the stored query to a searcher selected to respond to the search request.

17. The computer-implemented method of claim 13, comprising:

receiving from a guide an indication that a stored query associated with a verified search result is a match to the search request; and

ranking the verified search result as the highest ranking search result for the search request.

18. The computer-implemented method of claim 13, comprising:

obtaining from a guide a rewritten search request based on the search request; and

modifying a statistical model for rewriting of search requests based on the rewritten search request from the guide.

19. The computer-implemented method of claim 13, comprising:

determining whether the search request includes a keyword referring to a previous search query; and

responding to the search request by performing a search for the previous request by directing the request to a human searcher when determining that the search request includes the keyword.

20. The computer-implemented method of claim 13, comprising:

comparing content of the search request to a plurality of keywords;

inhibiting an automated response when determining that the content of the search request matches the plurality of keywords;

notifying a guide selected to respond to the search request of the matching;

comparing content of the search request to a plurality of keywords;

examining a previous query associated with a user submitting the search request;

determining whether the search request refers to the previous query;

processing the search request based on the determining by decreasing the probability that an automated search result will be provided;

receiving from the guide an indication that a stored query is related to the search request;

providing the stored query and a search resource associated with the stored query to a searcher selected to respond to the query;

receiving from the guide an indication that the stored query is associated with a verified search result is a match to the search request;

ranking the verified search result as the highest ranking search result for the search request;

obtaining from the guide a rewritten search request based on the search request;

modifying a statistical model for rewriting of search requests based on the rewritten search request from the guide;

determining whether the search request includes a keyword referring to the previous search query;

responding to the search request by performing a search for the previous search query by directing the request to a human searcher when determining that the search request includes the keyword;

determining a time period between the search request and the previous search query; and

adjusting a probability that the search request will be processed automatically based on the time period.