RANKING QUERY RESULTS USING BIOMETRIC PARAMETERS

• US 20160103833A1
• Filed: 02/28/2013
• Published: 04/14/2016
• Est. Priority Date: 06/01/2012
• Status: Abandoned Application

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Sanders, Jason, Taubman, Gabriel
• Application Number:
  US13/781,436
• Publication Number:
  US 20160103833A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/3337 Translation of the query language, e.g. Chinese to English
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: H04M 3/493 Interactive information services, e.g. directory enquiries ; Arrangements therefor, e.g. interactive voice response [IVR] systems or voice portals
• CPC Class Codes: H04M 3/4938 comprising a voice browser which renders and interprets, e.g. VoiceXML

Abstract

Methods, systems, and apparatus, including computer program products, for providing query results using biometric parameters. One of the methods includes providing a search result in response to receiving a search query. If one or more of biometric parameters of a user indicate likely negative engagement by the user with the first search result, an additional search result is obtained and provided in response to the search query.

Claims

1. A computer-implemented method comprising:

receiving a search query that was submitted by a user;

obtaining a set of search results that are identified as responsive to the search query, each search result having a respective query score;

providing, for output to the user, a particular query result;

obtaining one or more particular biometric parameters of the user that were obtained after the particular query result was provided for output to the user;

providing (i) at least one of the one or more particular biometric parameters, (ii) the search query, and (iii) the particular query result, to a predictive model that is trained to predict satisfaction scores using training data that includes, for each of multiple search query-query result pairs, (i) one or more biometric parameters of a human rater to whom the query result was provided for output in response to the search query, and (ii) a satisfaction score assigned to the search query-query result pair by the human rater;

receiving, from the predictive model, a particular satisfaction score that corresponds to the at least one of the one or more particular biometric parameters;

aggregating the query score associated with the particular query result with the particular satisfaction score; and

re-ranking the particular query result, among the set of query results, based on the aggregated score.

2. The method of claim 1, comprising:

training the predictive model using the at least one of the one or more particular biometric parameters and the particular satisfaction score.

3. The method of claim 1, wherein the at least one of the one or more particular biometric parameters comprises:

data indicating body temperature,

data indicating pupil dilation,

data indicating eye twitching,

data indicating facial flushing,

data indicating blink rate, or

data indicating heart rate.

4. The method of claim 1, comprising:

selecting an additional query result from among the re-ranked set of query results, wherein selecting the additional query result from among the re-ranked set of query results comprises determining that the additional query result has an aggregated score that satisfies a threshold.

5. The method of claim 1, comprising:

providing, to a second user, an additional query result selected from among the re-ranked set of query results;

obtaining one or more particular biometric parameters of the second user;

providing at least one of the one or more of the particular biometric parameters of the second user to a predictive model; and

receiving, from the predictive model, a second user satisfaction score that corresponds to the at least one of the one or more particular biometric parameters of the second user, wherein aggregating the query score associated with the particular query result with the particular satisfaction score comprises aggregating the query score associated with the particular query result with the particular satisfaction score and with the second user satisfaction score.

7. The method of claim 1, wherein providing the one or more of the particular biometric parameters to the predictive model comprises providing, by a dialogue engine, the one or more of the particular biometric parameters to the predictive model.

22. The method of claim 1, wherein aggregating the query score associated with the particular query result with the particular satisfaction score comprises:

scaling the query score by the particular satisfaction score.

24. The method of claim 1, comprising:

selecting an additional query result from among the re-ranked set of query results; and

providing the additional query result.

6. (canceled)

8. A system comprising:

one or more computers that include one or more processors and one or more storage devices storing instructions that are operable, when executed by the one or more processors, to cause the one or more computers to perform operations comprising;

receiving a search query that was submitted by a user;

obtaining a set of search results that are identified as responsive to the search query, each search result having a respective query score;

providing, for output to the user, a particular search query result;

obtaining one or more particular biometric parameters of the user that were obtained after the particular query result was provided for output to the user;

providing (i) at least one of the one or more particular biometric parameters, (ii) the search query, and (iii) the particular query result, to a predictive model that is trained to predict satisfaction scores using training data that includes, for each of multiple search query-query result pairs, (i) one or more biometric parameters of a human rater to whom the query result was provided for output in response to the search query, and (ii) a satisfaction score assigned to the search query-query result pair by the human rater;

receiving, from the predictive model, a particular satisfaction score that corresponds to the at least one of the one or more particular biometric parameters;

aggregating the query score associated with the particular query result with the particular satisfaction score; and

re-ranking the particular query result, among the set of query results, based on the aggregated score.

9. The system of claim 8, wherein the operations comprise:

training the predictive model using the at least one of the one or more particular biometric parameters and the particular satisfaction score.

10. The system of claim 8, wherein the at least one of the one or more particular biometric parameters comprises:

data indicating body temperature,

data indicating pupil dilation,

data indicating eye twitching,

data indicating facial flushing,

data indicating blink rate, or

data indicating heart rate.

11. The system of claim 8, wherein the operations further comprise:

selecting an additional query result from among the re-ranked set of query results, wherein selecting the additional query result from among the re-ranked set of query results comprises determining that the additional query result has an aggregated score that satisfies a threshold.

12. The system of claim 8, wherein the operations comprise:

providing, to a second user, an additional query result selected from among the re-ranked set of query results;

obtaining one or more particular biometric parameters of the second user;

providing at least one of the one or more of the particular biometric parameters of the second user to a predictive model; and

receiving, from the predictive model, a second user satisfaction score that corresponds to the at least one of the one or more particular biometric parameters of the second user, wherein aggregating the query score associated with the particular query result with the particular satisfaction score comprises aggregating the query score associated with the particular query result with the particular satisfaction score and with the second user satisfaction score.

14. The system of claim 8, wherein providing the one or more of the particular biometric parameters to the predictive model comprises providing, by a dialogue engine, the one or more of the particular biometric parameters to the predictive model.

23. The system of claim 8, wherein aggregating the query score associated with the particular query result with the particular satisfaction score comprises:

scaling the query score by the particular satisfaction score.

13. (canceled)

15. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:

receiving a search query that was submitted by a user;

obtaining a set of search results that are identified as responsive to the search query, each search result having a respective query score;

providing, for output to the user, a particular query result;

obtaining one or more particular biometric parameters of the user that were obtained after the particular query result was provided for output to the user;

providing (i) at least one of the one or more particular biometric parameters, (ii) the search query, and (iii) the particular query result, to a predictive model that is trained to predict satisfaction scores using training data that includes, for each of multiple search query-query result pairs, (i) one or more biometric parameters of a human rater to whom the query result was provided for output in response to the search query, and (ii) a satisfaction score assigned to the search query-query result pair by the human rater;

receiving, from the predictive model, a particular satisfaction score that corresponds to the at least one of the one or more particular biometric parameters;

aggregating the query score associated with the particular query result with the particular satisfaction score; and

re-ranking the particular query result, among the set of query results, based on the aggregated score.

16. The computer-readable medium of claim 15, wherein the operations comprise:

training the predictive model using the at least one of the one or more particular biometric parameters and the particular satisfaction score.

17. The computer-readable medium of claim 15, wherein the at least one of the one or more particular biometric parameters comprises:

data indicating body temperature,

data indicating pupil dilation,

data indicating eye twitching,

data indicating facial flushing,

data indicating blink rate, or

data indicating heart rate.

18. The computer-readable medium of claim 15, wherein the operations further comprise:

selecting an additional query result from among the re-ranked set of query results, wherein selecting the additional query result from among the re-ranked set of query results comprises determining that the additional query result has an aggregated score that satisfies a threshold.

19. The computer-readable medium of claim 15, wherein the operations comprise:

providing, to a second user, an additional query result selected from among the re-ranked set of query results;

obtaining one or more particular biometric parameters of the second user;

providing at least one of the one or more of the particular biometric parameters of the second user to a predictive model; and

receiving, from the predictive model, a second user satisfaction score that corresponds to the at least one of the one or more particular biometric parameters of the second user,

wherein aggregating the query score associated with the particular search query result with the particular satisfaction score comprises aggregating the query score associated with the particular query result with the particular satisfaction score and with the second user satisfaction score.

21. The computer-readable medium of claim 15, wherein providing the one or more of the particular biometric parameters to the predictive model comprises providing, by a dialogue engine, the one or more of the particular biometric parameters to the predictive model.

20. (canceled)