Managing media library merchandising promotions

• US 9,177,332 B1
• Filed: 10/31/2012
• Issued: 11/03/2015
• Est. Priority Date: 10/31/2012
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Bilinski, Brandon, Hawthorne, Curtis Glenn
• Primary Examiner(s): Weiss, John G
• Assistant Examiner(s): Long, Meredith A
• Application Number:
  US13/665,900
• Time in Patent Office: 1,098 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0271 Personalized advertisement

Abstract

A method and/or system for managing media library merchandising promotions may include determining one or more current promotions from a plurality of promotions. A universal score may be assigned to each of the one or more current promotions, wherein the universal score is updated dynamically based on interactions with the one or more current promotions by one or more users. A personal score for each of the one or more current promotions may be assigned for a particular user, wherein the personal score is updated dynamically based on interactions with the one or more current promotions by the particular user. Personalized digital content promotions may be determined for the particular user from the current promotions based on the personal score and/or the universal score. The personalized promotions may be presented to the particular user.

Claims

1. A method, comprising:

in a server;

determining one or more current promotions from a plurality of promotions for at least one digital media item;

determining a number of personal digital libraries in which the at least one digital media item is present, each of the personal digital libraries belonging to one of a plurality of users;

assigning a universal score to each of the one or more current promotions, wherein the universal score is determined based on the number of personal digital libraries;

assigning a personal score, corresponding to a particular user not in the plurality of users, to each of the one or more current promotions, wherein the personal score is updated dynamically based on interactions with the one or more current promotions for the at least one digital media item by the particular user and a correlation between the at least one digital media item and digital media items in a personal digital media library of the particular user;

determining, for the particular user, personalized digital content promotions from the current promotions, the determined personalized digital content promotions first being prioritized based on the assigned personal score;

selecting a portion of the prioritized personalized digital content promotions based on the assigned universal score of the one or more current promotions; and

transmitting information regarding the selected portion of the personalized digital content promotions to an electronic device associated with the particular user.

2. The method according claim 1, wherein determining personalized digital content promotions is based on the personal score of at least some of the one or more current promotions.

3. The method according claim 1, wherein determining personalized digital content promotions is based on the personal score of at least some of the one or more current promotions and on the universal score of at least some of the one or more current promotions.

4. The method according to claim 1, comprising determining popularity of one or more digital media items associated with each of the one or more current promotions, wherein the assigning of the universal score is based on the popularity of the one or more digital media items.

5. The method according to claim 1, comprising:

grouping personal digital media items associated with a personal media library based on a category of one or more digital media items associated with at least some of the one or more current promotions to obtain one or more groups, wherein the personal media library is associated with the particular user; and

determining the size of each of the one or more groups, wherein the assigning of the personal score for each of the one or more current promotions is based at least on the size of at least some of the one or more groups.

6. The method according to claim 1, wherein the interactions by the particular user comprise purchasing, by the particular user, digital content associated with the one or more current promotions.

7. The method according claim 2, wherein the personal score is based on the particular user'"'"'s activity with respect to a personal media library, wherein the personal media library is associated with the particular user.

8. A method, comprising:

in a server;

determining one or more current promotions from a plurality of promotions for at least one digital media item;

determine a number of personal digital libraries in which the at least one digital media item is present, each of the personal digital libraries belonging to one of a plurality of users;

assigning a universal score to each of the one or more current promotions, wherein the assigning of the universal score is based on the popularity of the one or more digital media items and the number of personal digital libraries associated with the one or more current promotions by one or more users;

assigning, a personal score, corresponding to a particular user not in the plurality of users, to each of the one or more current promotions, wherein the personal score is updated dynamically based on interactions with the one or more current promotions for the at least one digital media item by the particular user and a correlation between the at least one digital media item and digital media items in a personal digital media library of the particular user;

determining, for the particular user, personalized digital content promotions from the current promotions based on the personal score of at least some of the one or more current promotions, the personalized digital content promotions are determined as a result of aggregating the personal score and the universal score to produce an aggregate score for the one or more current promotions;

selecting a portion of the personalized digital content promotions based on the aggregated score for the one or more current promotions; and

transmitting information regarding the selected portion of the personalized digital content promotions to an electronic device associated with the particular user.

9. The method according to claim 8, comprising:

matching one or more digital media items associated with at least some of the one or more current promotions with one or more personal digital media items associated with a personal media library, wherein the personal media library is associated with the particular user; and

assigning a correlation score to each of the one or more digital media items associated with at least some of the one or more current promotions matched to the one or more personal digital media items, wherein the assigning of the personal score for each of the one or more current promotions is based on the correlation score.

10. A system comprising:

one or more processors, the one or more processors being operable to;

determine one or more current promotions from a plurality of promotions for at least one digital media item;

determine a number of personal digital libraries in which the at least one digital media item is present, each of the personal digital libraries belonging to one of a plurality of users;

assign a universal score to each of the one or more current promotions, wherein the universal score is determined based on the number of personal digital libraries and from combinations of one or more of a popularity, a play history, a purchase history, or interactions with of one or more digital media items associated with each of the one or more current promotions;

assign a personal score, corresponding to a particular user not in the plurality of users, to each of the one or more current promotions, wherein the personal score is updated dynamically based on interactions with the one or more current promotions for the at least one digital media item by the particular user and a correlation between the at least one digital media item and digital media items in a personal digital media library of the particular user;

determine, for the particular user, personalized digital content promotions from the current promotions, the personalized digital content promotions are determined as a result of aggregating the personal score and the universal score to produce an aggregate score for the one or more current promotions;

selecting a portion of the personalized digital content promotions based on the aggregated score for the one or more current promotions; and

transmit information regarding the selected portion of the personalized digital content promotions to an electronic device associated with the particular user.

11. The system according to claim 10, wherein determining personalized digital content promotions is based on the personal score of at least some of the one or more current promotions.

12. The system according to claim 10, wherein determining personalized digital content promotions is based on the personal score of at least some of the one or more current promotions and on the universal score of at least some of the one or more current promotions.

13. The system according to claim 10, wherein the one or more processors are further operable to:

group personal digital media items associated with a personal media library based on a category of one or more digital media items associated with at least some of the one or more current promotions to obtain one or more groups, wherein the personal media library is associated with the particular user; and

determine the size of each of the one or more groups, wherein the assigning of the personal score for each of the one or more current promotions is based at least on the size of at least some of the one or more groups.

14. The system according to claim 10, wherein the interactions by the particular user comprise purchasing, by the particular user, digital content associated with the one or more current promotions.

15. The system according claim 11, wherein the personal score is based on the particular user'"'"'s activity with respect to a personal media library, wherein the personal media library is associated with the particular user.