Ranking users based on contextual factors

• US 10,133,790 B1
• Filed: 06/16/2016
• Issued: 11/20/2018
• Est. Priority Date: 12/31/2013
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Vanderwater, Kathryn R., Haugen, Frances B., Unger, Alexander K.
• Primary Examiner(s): Cao, Phuong Thao
• Application Number:
  US15/183,944
• Time in Patent Office: 887 Days
• Field of Search: 707732
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G09B 7/02 of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student

Abstract

Methods for ranking users based on contextual factors are provided. An example method may include receiving an online question by an asking user. The method may further include identifying one or more topics of the received online question. The method may further include identifying a set of candidate answering users from a plurality of users based on an expertise level of each user of the plurality of users, wherein the expertise level is related to the identified one or more topics of the received online question. In addition, the method may include ranking the set of candidate answering users based on a commonality of one or more contextual factors between the asking user and the set of candidate answering users, wherein the one or more contextual factors are distinct from the identified one or more topics. Systems and computer-readable media for ranking users based on contextual factors are also described.

Claims

1. A computer-implemented method comprising:

receiving, by one or more processors, a query from an initiating resource;

determining, by the one or more processors, a topic associated with the query;

selecting, by the one or more processors, candidate resources that are associated with the topic;

determining, by the one or more processors, whether the topic of the query is specified as a subjective topic or an objective topic;

in response to determining that the topic of the query is specified as a subjective topic;

for each of the candidate resources, determining, by the one or more processors, a similarity score based on a similarity of one or more contextual factors, other than the topic, associated with the initiating resource and the candidate resource that reflects an extent to which the initiating resource and the candidate resource are similar;

obtaining, by the one or more processors, a response to the query from a first candidate resource that has a similarity score that satisfies one or more predetermined criteria; and

providing, to the initiating resource and by the one or more processors, the response to the query that is obtained from the first candidate resource that has a similarity score that satisfies the one or more predetermined criteria; and

in response to determining that the topic of the query is specified as an objective topic;

obtaining, by the one or more processors, a response to the query from a second candidate resource regardless of similarity of the one or more contextual factors between the initiating resource and each of the candidate resources; and

providing, to the initiating resource and by the one or more processors, the response to the query that is obtained from the second candidate resource.

2. The method of claim 1, wherein selecting candidate resources that are associated with the topic comprises identifying a set of candidate resources from a plurality of resources based on an expertise level score, for the determined topic, of each resource of the plurality of resources.

3. The method of claim 1, wherein the one or more contextual factors correspond to one or more demographic characteristics.

4. The method of claim 1, comprising:

after providing the response, receiving a follow-up query from the initiating resource; and

obtaining a supplemental response to the follow-up query from the first candidate resource that has a similarity score that satisfies one or more predetermined criteria.

5. The method of claim 1, further comprising:

obtaining a plurality of responses to the query from multiple candidate resources that have similarity scores that satisfy one or more predetermined criteria;

providing the plurality of responses to the initiating resource;

receiving a respective rating, from the initiating resource, for the plurality of responses, that indicates approval of the plurality of responses by the initiating resource; and

using the respective rating to update the similarity scores that reflect the extent to which the initiating resource and the candidate resources are similar.

6. The method of claim 1, wherein the response to the query provided to the initiating resource comprises a video clip.

7. A system comprising:

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

receiving a query from an initiating resource;

determining a topic associated with the query;

selecting candidate resources that are associated with the topic;

determining whether the topic of the query is specified as a subjective topic or an objective topic;

in response to determining that the topic of the query is specified as a subjective topic;

for each of the candidate resources, determining a similarity score based on a similarity of one or more contextual factors, other than the topic, associated with the initiating resource and the candidate resource that reflects an extent to which the initiating resource and the candidate resource are similar;

obtaining a response to the query from a first candidate resource that has a similarity score that satisfies one or more predetermined criteria; and

providing, to the initiating resource, the response to the query that is obtained from the first candidate resource that has a similarity score that satisfies the one or more predetermined criteria; and

in response to determining that the topic of the query is specified as an objective topic;

obtaining a response to the query from a second candidate resource regardless of similarity of the one or more contextual factors between the initiating resource and each of the candidate resources; and

providing, to the initiating resource, the response to the query that is obtained from the second candidate resource.

8. The system of claim 7, wherein selecting candidate resources that are associated with the topic comprises identifying a set of candidate resources from a plurality of resources based on an expertise level score, for the determined topic, of each resource of the plurality of resources.

9. The system of claim 8, wherein the one or more contextual factors correspond to one or more demographic characteristics.

10. The system of claim 7, wherein the operations comprise:

after providing the response, receiving a follow-up query from the initiating resource; and

obtaining a supplemental response to the follow-up query from the first candidate resource that has a similarity score that satisfies one or more predetermined criteria.

11. The system of claim 7, wherein the operations comprise:

obtaining a plurality of responses to the query from multiple candidate resources that have similarity scores that satisfy one or more predetermined criteria;

providing the plurality of responses to the initiating resource;

receiving a respective rating, from the initiating resource, for the plurality of responses, that indicates approval of the plurality of responses by the initiating resource; and

using the respective rating to update the similarity scores that reflect the extent to which the initiating resource and the candidate resources are similar.

12. The system of claim 7, wherein the response to the query provided to the initiating resource comprises a video clip.

13. A computer-readable storage device storing software comprising instructions executable by one or more computers which, upon execution, cause the one or more computers to perform operations comprising:

receiving a query from an initiating resource;

determining a topic associated with the query;

selecting candidate resources that are associated with the topic;

determining whether the topic of the query is specified as a subjective topic or an objective topic;

in response to determining that the topic of the query is specified as a subjective topic;

for each of the candidate resources, determining a similarity score based on a similarity of one or more contextual factors, other than the topic, associated with the initiating resource and the candidate resource that reflects an extent to which the initiating resource and the candidate resource are similar;

obtaining a response to the query from a first candidate resource that has a similarity score that satisfies one or more predetermined criteria; and

providing, to the initiating resource, the response to the query that is obtained from the first candidate resource that has a similarity score that satisfies the one or more predetermined criteria;

in response to determining that the topic of the query is specified as an objective topic;

obtaining a response to the query from a second candidate resource regardless of similarity of the one or more contextual factors between the initiating resource and each of the candidate resources; and

providing, to the initiating resource, the response to the query that is obtained from the second candidate resource.

14. The device of claim 13, wherein selecting candidate resources that are associated with the topic comprises identifying a set of candidate resources from a plurality of resources based on an expertise level score, for the determined topic, of each resource of the plurality of resources.

15. The device of claim 14, wherein the one or more contextual factors correspond to one or more demographic characteristics.