Granted Patent B2

US 12,561,376 · App. 17/987,689 · Granted Feb 24, 2026

Inventors: Rajhans Samdani (Belmont, CA); Ankit Goyal (Daly City, CA); Pierre Rappolt (San Francisco, CA); Emily Yidan Wang (San Francisco, CA); Pratyus Patnaik (Los Altos, CA); William S. Potter (San Francisco, CA); Suchit Agarwal (Jersey City, NJ)

Assignee: Okta, Inc.

G06F16/90332G06F16/90344G06F16/9035G06F16/908G06F16/909

Abstract

Claims (79)

1 . A method comprising:

receiving, from a first user at a first device, a search query comprising one or more terms;

obtaining one or more user attributes associated with the first user issuing the search query;

providing relevancy scores for content items based at least in part on word-level matches between the search query and the content items;

determining historical feedback data for previous search queries;

adjusting a value of one or more of the relevancy scores based on a correspondence between the one or more user attributes and one or more resource attributes associated with the content items and based on the historical feedback data in accordance with whether a metric of the historical feedback data satisfies a metric threshold;

in a first state where the metric of the historical feedback data fails to satisfy the metric threshold, obtaining an indication of a first content item of the content items for selection based on one or more of the relevancy scores and adjustment of one or more of the relevancy scores that is based on the correspondence between the one or more user attributes and the one or more resource attributes associated with the content items, wherein selecting the first content item in the first state is based on the metric associated with the historical feedback data failing to satisfy the metric threshold;

in a second state where a threshold amount of the historical feedback data for the previous search queries is satisfied and the metric of the historical feedback data satisfies the metric threshold, obtaining an indication of the first content item of the content items for the selection based at least in part on the historical feedback data, the value of one or more of the relevancy scores, and the adjustment of the value of one or more of the relevancy scores that is based on both the correspondence between the one or more user attributes and the one or more resource attributes associated with the content items and on the historical feedback data in accordance with the metric of the historical feedback data satisfying the metric threshold, wherein selecting the first content item in the second state is based at least in part on satisfaction of the threshold amount of the historical feedback data; and

providing search results indicating the first content item.

2 . The method of claim 1 , further comprising:

receiving a second search query at the first device, the second search query corresponding to the search query and being associated with a second user account different from a first user account associated with the first user issuing the search query;

determining the content items based on the second search query;

determining a third user attribute value associated with the second user account;

determining a second content item from the content items based on a second correspondence between a fourth resource attribute value associated with the second content item and the third user attribute value associated with the second user account; and

providing second response data including the second content item to a computing device associated with the second search query.

3 . The method of claim 1 , further comprising:

determining total relevancy scores for one or more content items of the content items based on a combination of the word-level matches, the historical feedback data, and the correspondence between the one or more user attributes and the one or more resource attributes associated with the content items; and

determining the first content item of the content items having a highest total relevancy score;

wherein the search results include the first content item of the content items having the highest total relevancy score.

4 . The method of claim 1 , further comprising:

receiving a second content item at the first device;

providing an interface to a second device, the interface including at least one field accessible by a user to configure one or more resource attribute values associated with the second content item including a set of rules to determine visibility of the second content item based on user attribute values of user accounts; and

storing the second content item and the one or more resource attribute values associated with the second content item in a data store.

5 . The method of claim 1 , wherein the first content item comprises one or more of text data, image data, video data, or audio data.

6 . The method of claim 1 , wherein the one or more resource attributes associated with the content items includes one or more of a location attribute, a department attribute, an employee type attribute, or a job title attribute.

7 . The method of claim 1 , wherein the one or more resource attributes associated with the content items includes a Boolean expression, the method further comprising evaluating the Boolean expression based on the one or more user attributes associated with the first user to determine the first content item.

8 . A non-transitory computer-readable storage medium storing instructions that when executed by a computer processor perform actions comprising:

receiving, from a first user at a first device, a search query comprising one or more terms;

obtaining one or more user attributes associated with the first user issuing the search query;

providing relevancy scores for content items based at least in part on word-level matches between the search query and the content items;

determining historical feedback data for previous search queries;

adjusting a value of one or more of the relevancy scores based on a correspondence between the one or more user attributes and one or more resource attributes associated with the content items and based on the historical feedback data in accordance with whether a metric of the historical feedback data satisfies a metric threshold;

in a first state where the metric of the historical feedback data fails to satisfy the metric threshold, obtaining an indication of a first content item of the content items for selection based on one or more of the relevancy scores and adjustment of one or more of the relevancy scores that is based on the correspondence between the one or more user attributes and the one or more resource attributes associated with the content items, wherein selecting the first content item in the first state is based on the metric associated with the historical feedback data failing to satisfy the metric threshold;

in a second state where a threshold amount of the historical feedback data for the previous search queries is satisfied and the metric of the historical feedback data satisfies the metric threshold, obtaining an indication of the first content item of the content items for the selection based at least in part on the historical feedback data, the value of one or more of the relevancy scores, and the adjustment of the value of one or more of the relevancy scores that is based on both the correspondence between the one or more user attributes and the one or more resource attributes associated with the content items and on the historical feedback data in accordance with the metric of the historical feedback data satisfying the metric threshold, wherein selecting the first content item in the second state is based at least in part on satisfaction of the threshold amount of the historical feedback data; and

providing search results indicating the first content item.

9 . The non-transitory computer-readable storage medium of claim 8 , the actions further comprising:

receiving a second search query at the first device, the second search query corresponding to the search query and being associated with a second user account different from a first user account associated with the first user issuing the search query;

determining the content items based on the second search query;

determining a third user attribute value associated with the second user account;

determining a second content item from the content items based on a second correspondence between a fourth resource attribute value associated with the second content item and the third user attribute value associated with the second user account; and

providing second response data including the second content item to a computing device associated with the second search query.

10 . The non-transitory computer-readable storage medium of claim 8 , the actions further comprising:

determining total relevancy scores for one or more content items of the content items based on a combination of the word-level matches, the historical feedback data, and the correspondence between the one or more user attributes and the one or more resource attributes associated with the content items; and

determining the first content item of the content items having a highest total relevancy score;

wherein the search results include the first content item of the content items having the highest total relevancy score.

11 . The non-transitory computer-readable storage medium of claim 8 , the actions further comprising:

receiving a second content item at the first device;

providing an interface to a second device, the interface including at least one field accessible by a user to configure one or more resource attribute values associated with the second content item including a set of rules to determine visibility of the second content item based on user attribute values of user accounts; and

storing the second content item and the one or more resource attribute values associated with the second content item in a data store.

12 . The non-transitory computer-readable storage medium of claim 8 , wherein the first content item comprises one or more of text data, image data, video data, or audio data.

13 . The non-transitory computer-readable storage medium of claim 8 , wherein the one or more resource attributes associated with the content items includes one or more of a location attribute, a department attribute, an employee type attribute, or a job title attribute.

14 . The non-transitory computer-readable storage medium of claim 8 , wherein the one or more resource attributes associated with the content items includes a Boolean expression and evaluating the Boolean expression is based on the one or more user attributes associated with the first user to determine the first content item.

15 . A computer system comprising:

a hardware processor; and

a non-transitory computer-readable storage medium storing instructions that when executed by a computer processor to perform actions comprising:

receiving, from a first user at a first device, a search query comprising one or more terms;

obtaining one or more user attributes associated with the first user issuing the search query;

providing relevancy scores for content items based at least in part on word-level matches between the search query and the content items;

determining historical feedback data for previous search queries;

adjusting a value of one or more of the relevancy scores based on a correspondence between the one or more user attributes and one or more resource attributes associated with the content items and based on the historical feedback data in accordance with whether a metric of the historical feedback data satisfies a metric threshold;

in a first state where the metric of the historical feedback data fails to satisfy the metric threshold, obtaining an indication of a first content item of the content items for selection based on one or more of the relevancy scores and adjustment of one or more of the relevancy scores that is based on the correspondence between the one or more user attributes and the one or more resource attributes associated with the content items, wherein selecting the first content item in the first state is based on the metric associated with the historical feedback data failing to satisfy the metric threshold;

in a second state where a threshold amount of the historical feedback data for the previous search queries is satisfied and the metric of the historical feedback data satisfies the metric threshold, obtaining an indication of the first content item of the content items for the selection based at least in part on the historical feedback data, the value of one or more of the relevancy scores, and the adjustment of the value of one or more of the relevancy scores that is based on both the correspondence between the one or more user attributes and the one or more resource attributes associated with the content items and on the historical feedback data in accordance with the metric of the historical feedback data satisfying the metric threshold, wherein selecting the first content item in the second state is based at least in part on satisfaction of the threshold amount of the historical feedback data; and

providing search results indicating the first content item.

16 . The computer system of claim 15 , the actions further comprising:

receiving a second search query at the first device, the second search query corresponding to the search query and being associated with a second user account different from a first user account associated with the first user issuing the search query;

determining the content items based on the second search query;

determining a third user attribute value associated with the second user account;

determining a second content item from the content items based on a second correspondence between a fourth resource attribute value associated with the second content item and the third user attribute value associated with the second user account; and

providing second response data including the second content item to a computing device associated with the second search query.

17 . The computer system of claim 15 , the actions further comprising:

determining total relevancy scores for one or more content items of the content items based on a combination of the word-level matches, the historical feedback data, and the correspondence between the one or more user attributes and the one or more resource attributes associated with the content items; and

determining the first content item of the content items having a highest total relevancy score;

wherein the search results include the first content item of the content items having the highest total relevancy score.

18 . The computer system of claim 15 , the actions further comprising:

receiving a second content item at the first device;

providing an interface to a second device, the interface including at least one field accessible by a user to configure one or more resource attribute values associated with the second content item including a set of rules to determine visibility of the second content item based on user attribute values of user accounts; and

storing the second content item and the one or more resource attribute values associated with the second content item in a data store.

19 . The computer system of claim 15 , wherein the one or more resource attributes associated with the content items includes one or more of a location attribute, a department attribute, an employee type attribute, or a job title attribute.

20 . The computer system of claim 15 , wherein the one or more resource attributes associated with the content items includes a Boolean expression and evaluating the Boolean expression is based on the one or more user attributes associated with the first user to determine the first content item.

Assignments (2)

Continuity (2)

References Cited (88)