METHODS AND SYSTEMS FOR SURFACING CONTENT ITEMS BASED ON IMPRESSION DISCOUNTING

• US 20150278353A1
• Filed: 03/31/2014
• Published: 10/01/2015
• Est. Priority Date: 03/31/2014
• Status: Abandoned Application

• Current Assignee: LinkedIn Corporation (Microsoft Corporation)
• Original Assignee: Linkedln Corporation
• Inventors: Shah, Samir M., Tiwari, Mitul, Li, Pei
• Application Number:
  US14/231,233
• Publication Number:
  US 20150278353A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/1053 Employment or hiring
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Systems and methods for surfacing content items to a user based on an impression discount are described. For example, an impression discount for a content item is determined. The impression discount may be determined based on a number of times the content item has been surfaced to a user. A selection score for the content item is updated based on the impression discount. The content item is selected from a plurality of content items based on a comparison of the selection score for the content item and selection scores for each of the plurality of content items. The selected content item is then surfaced to a client device corresponding to the user.

Claims

1. A computer-implemented method comprising:

determining a selection score based on an impression discount for a job posting, the impression discount being determined based on a number of times the job posting has been surfaced to a user and a visit frequency metric measuring a frequency in which the user accesses a content publisher that surfaces the job posting;

increasing the impression discount for the job posting based on an increase to the number of times the job posting has been surfaced to the user;

decreasing the selection score for the job posting based on the increased impression discount;

selecting the job posting from a plurality of job postings based on a comparison of the selection score for the job posting and selection scores for each of the plurality of job postings; and

surfacing the selected job posting to a client device corresponding to the user.

4. The computer-implemented method of claim 1, wherein the number of times the job posting has been surfaced to the user is within a time period.

5. The computer-implemented method of claim 1, wherein the impression discount is further determined based on a last seen metric, the last seen metric measuring a time period in which the job posting was last surfaced to the user.

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

incrementing the number of times the job posting has been surfaced to the user responsive to the surfacing of the job posting to the user;

updating the impression discount for the job posting, the impression discount being updated after incrementing the number of times the job posting has been surfaced to the user;

adjusting a selection score for the job posting based on the updated impression discount;

selecting one of the plurality of job postings over the job posting based on a comparison between a selection score for the one of the plurality of job postings and the adjusted selection score for the job posting; and

surfacing the one of the plurality of job postings to the client device corresponding to the user.

8. The computer-implemented method of claim 1, wherein the selection score for the job posting and the selection scores for each of the plurality of job postings form a first selection score group specific to the user.

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

determining an additional impression discount for the job posting, the additional impression discount being determined based on an additional number of times the job posting has been surfaced to an additional user;

adjusting an additional selection score for the job posting based on the additional impression discount;

selecting the job posting from the plurality of job postings based on a comparison of the additional selection score for the job posting and additional selection scores for each of the plurality of job postings; and

surfacing the job posting to an additional client device corresponding to the additional user.

10. The computer-implemented method of claim 9, wherein the additional selection score for the job posting and the additional selection scores for each of the plurality of job postings form a second selection score group specific to the additional user.

2. (canceled)

3. (canceled)

6. (canceled)

11. A computer-implemented system comprising:

a memory for storing executable instructions;

at least one processor for executing instructions stored in memory;

a content selection engine implemented by the least one processor and configured to;

determine a selection score based on an impression discount for a job posting, the impression discount being determined based on a number of times the job posting has been surfaced to a user,

increase the impression discount for the job posting based on an increase to the number of times the job posting has been surfaced to the user;

decrease the selection score for the job posting based on the increased impression discount, and

select the job posting from a plurality of content items based on a comparison of the selection score for the job posting and selection scores for each of the plurality of content items; and

a presentation engine implemented by the at least one processor and configured to surface the selected job posting to a client device corresponding to the user.

14. The computer-implemented system of claim 11, wherein the number of times the job posting has been surfaced to the user is within a time period.

15. The computer-implemented system of claim 11, wherein the impression discount is further determined based on a last seen metric, the last seen metric measuring a time period in which the job posting was last surfaced to the user.

16. The computer-implemented system of claim 11, wherein impression discount is further determined based on a visit frequency metric, the visit frequency metric measuring a frequency in which the user accesses a content publisher that surfaces the job posting.

17. The computer-implemented system of claim 11, wherein the content selection engine is further configured to:

increment the number of times the job posting has been surfaced to the user responsive to the surfacing of the job posting to the user;

update the impression discount for the job posting, the impression discount being after incrementing the number of times the job posting has been surfaced to a user;

adjust a selection score for the job posting based on the updated impression discount;

select one of the plurality of content items over the job posting based on a comparison between a selection score for the one of the plurality of content items and the adjusted selection score for the job posting; and

the presentation engine is further configured to surface the one of the plurality of content items to the client device corresponding to the user;

18. The computer-implemented system of claim 11, wherein the selection score for the job posting and the selection scores for each of the plurality of content items form a first selection score group specific to the user.

19. The computer-implemented system of claim 11, wherein:

the content selection engine is further configured to;

determine an additional impression discount for the job posting, the additional impression discount being determined based on an additional number of times the job posting has been surfaced to an additional user;

adjust an additional selection score for the job posting based on the additional impression discount;

select the job posting from the plurality of content items based on a comparison of the additional selection score for the job posting and additional selection scores for each of the plurality of content items; and

the presentation engine is further configured to surface the job posting to an additional client device corresponding to the additional user.

12. (canceled)

13. (canceled)

20. A non-transitory computer-readable medium storing executable instructions thereon, which, when executed by a processor, cause the processor to perform operations comprising:

determining a selection score based on an impression discount for a job posting, the impression discount being determined based on a number of times the job posting has been surfaced to a user;

increasing the impression discount for the job posting based on an increase to the number of times the job posting has been surfaced to the user;

decreasing the selection score for the job posting based on the increased impression discount;

selecting the job posting from a plurality of content items based on a comparison of the selection score for the job posting and selection score for each of the plurality of content items; and

surfacing the selected job posting to a client device corresponding to the user.