PROMOTING CONTENT

• US 20130290118A1
• Filed: 06/27/2013
• Published: 10/31/2013
• Est. Priority Date: 06/22/2006
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: LinkedIn Corporation (Microsoft Corporation)
• Inventors: Kast, Anton P., Rose, R. Kevin
• Application Number:
  US13/929,442
• Publication Number:
  US 20130290118A1
• Time in Patent Office: Days
• US Class Current: 705/14.73
• CPC Class Codes: G06F 16/437 Administration of user profiles, e.g. generation, initialisation, adaptation, distribution
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

Promoting a candidate content item included in a plurality of content items is disclosed. A preference event by the first user is detected. A plurality of user reputation scores is received. For the candidate content item in the plurality of candidate content items, a content reputation score is determined based at least in part on a portion of the received user reputation scores. A determination of whether to promote the candidate content item is made based at least in part on the content reputation score. The candidate content item is promoted if it is determined that the candidate content item should be promoted.

Claims

1. A method of promoting content at a preference system comprising one or more processors, the method comprising:

receiving content items submitted by at least one user of the preference system;

categorizing as an upcoming content item each submitted content item not previously received at the preference system;

displaying the upcoming content items in a secondary portion of an interface provided to users of the preference system for viewing content items;

receiving multiple preference events regarding the upcoming content items;

for each upcoming content item;

calculating a content reputation score for the upcoming content item;

making the upcoming content item a promoted content item if the content reputation score exceeds a threshold score; and

archiving the upcoming content item if it remains an upcoming content item for a threshold time period without being made a promoted content item; and

displaying promoted content items in a primary portion of the interface provided to users of the preference system for viewing content items.

2. The method of claim 1, wherein calculating a content reputation score for a given upcoming content item comprises:

identifying every user of the preference system that submitted a positive preference event regarding the given content item;

receiving user reputation scores for each of the identified users; and

calculating the content reputation scores based on the received user reputation scores.

3. The method of claim 2, wherein receiving a user reputation score for a given user comprises:

identifying every upcoming content item;

for which the given user submitted a positive preference event; and

that was made a promoted content item subsequent to receipt of the positive preference event from the given user; and

increasing the user reputation score for the given user for each identified upcoming content item.

4. The method of claim 3, wherein receiving a user reputation score for a given user further comprises:

further identifying every upcoming content item;

for which the given user submitted a negative preference event; and

that was archived subsequent to receipt of the negative preference event from the given user; and

increasing the user reputation score for the given user for each further identified upcoming content item.

5. The method of claim 2, wherein receiving a user reputation score for a given user comprises:

identifying a fixed reputation value associated with each upcoming content item; and

for each selected upcoming content item that is made a promoted content item;

identifying a set of users of the preference system that submitted positive preference events for the selected upcoming content item;

dividing the fixed reputation value by the number of users in the identified set of users, to yield a share value; and

increasing reputation scores of each user in the set of users by the share value.

6. The method of claim 2, wherein receiving a user reputation score for a given user comprises:

identifying a fixed reputation value associated with each upcoming content item; and

for each selected upcoming content item that is made a promoted content item;

identifying a set of users of the preference system that submitted positive preference events for the selected upcoming content item;

apportioning the fixed reputation value among the identified set of users based on timing of the positive preference events they submitted, wherein a given identified user receives a greater portion of the fixed reputation value than any other identified user who submitted a positive preference event later in time than the given identified user; and

increasing reputation scores of each user in the set of users by their apportioned share of the fixed reputation value.

7. The method of claim 2, wherein calculating a content reputation score comprises:

summing the received reputation scores of the identified users.

8. The method of claim 7, wherein calculating a content reputation score further comprises, prior to said summing:

filtering the users to remove users that joined the preference system within a default time period.

9. The method of claim 1, wherein making the upcoming content item a promoted content item if the content reputation score exceeds a threshold score comprises:

determining whether a maximum number of upcoming content items has already been made promoted content items.

10. The method of claim 9, wherein:

upcoming content items are considered for promotion to promoted content items on a periodic basis; and

a maximum number of upcoming content items may be promoted each period.

11. The method of claim 9, wherein:

upcoming content items are considered for promotion to promoted content items on a periodic basis; and

within each of multiple content categories into which upcoming content items are categorized, a maximum number of upcoming content items may be promoted each period.

12. A computer program product for promoting content at a preference system, the computer program product being embodied in a non-transitory computer readable storage medium and comprising instructions for:

receiving content items submitted by at least one user of the preference system;

categorizing as an upcoming content item each submitted content item not previously received at the preference system;

displaying the upcoming content items in a secondary portion of an interface provided to users of the preference system for viewing content items;

receiving multiple preference events regarding the upcoming content items;

for each upcoming content item;

calculating a content reputation score for the upcoming content item;

making the upcoming content item a promoted content item if the content reputation score exceeds a threshold score; and

archiving the upcoming content item if it remains an upcoming content item for a threshold time period without being made a promoted content item; and

displaying promoted content items in a primary portion of the interface provided to users of the preference system for viewing content items.

13. A system, comprising:

one or more processors; and

a memory coupled to the one or more processors, wherein the memory is configured to provide the one or more processors with instructions that, when executed, cause the one or more processors to;

receive content items submitted by at least one user of the preference system;

categorize as an upcoming content item each submitted content item not previously received at the preference system;

display the upcoming content items in a secondary portion of an interface provided to users of the preference system for viewing content items;

receive multiple preference events regarding the upcoming content items;

for each upcoming content item;

calculate a content reputation score for the upcoming content item;

make the upcoming content item a promoted content item if the content reputation score exceeds a threshold score; and

archive the upcoming content item if it remains an upcoming content item for a threshold time period without being made a promoted content item; and

display promoted content items in a primary portion of the interface provided to users of the preference system for viewing content items.

14. The system of claim 13, wherein calculating a content reputation score for a given upcoming content item comprises:

identifying every user of the preference system that submitted a positive preference event regarding the given content item;

receiving user reputation scores for each of the identified users; and

calculating the content reputation scores based on the received user reputation scores.

15. The system of claim 14, wherein receiving a user reputation score for a given user comprises:

identifying every upcoming content item;

for which the given user submitted a positive preference event; and

that was made a promoted content item subsequent to receipt of the positive preference event from the given user;

increasing the user reputation score for the given user for each identified upcoming content item

further identifying every upcoming content item;

for which the given user submitted a negative preference event; and

that was archived subsequent to receipt of the negative preference event from the given user; and

further increasing the user reputation score for the given user for each further identified upcoming content item.

16. The system of claim 14, wherein receiving a user reputation score for a given user comprises:

identifying a fixed reputation value associated with each upcoming content item; and

for each selected upcoming content item that is made a promoted content item;

identifying a set of users of the preference system that submitted positive preference events for the selected upcoming content item;

apportioning the fixed reputation value among the identified set of users based on timing of the positive preference events they submitted, wherein a given identified user receives a greater portion of the fixed reputation value than any other identified user who submitted a positive preference event later in time than the given identified user; and

increasing reputation scores of each user in the set of users by their apportioned share of the fixed reputation value.

17. The system of claim 14, wherein receiving a user reputation score for a given user comprises:

identifying a number (N) of upcoming content items for which the given user submitted positive preference events within a default time period;

identifying a subset (P) of the identified upcoming content items that were made promoted content items;

for each member of subset P, determining a current total of positive preference events received for the member;

summing the total positive preference events received for all members of subset P, to yield a numerator; and

dividing the numerator by a sum of N and a regulator value.

18. The system of claim 14, wherein:

the default time period is approximately one month; and

the regulator value is approximately 30.

19. The system of claim 13, wherein making the upcoming content item a promoted content item if the content reputation score exceeds a threshold score comprises:

determining whether a maximum number of upcoming content items has already been made promoted content items;

wherein upcoming content items are considered for promotion to promoted content items on a periodic basis; and

wherein a maximum number of upcoming content items may be promoted each period.