Magazine edition recommendations

• US 9,098,572 B1
• Filed: 01/30/2013
• Issued: 08/04/2015
• Est. Priority Date: 12/06/2011
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Reilly, James D., Shore, Maurice Bennett, Doll, Cassandra Lynn, Shalabi, Sami Mohammed
• Primary Examiner(s): Boccio, Vincent F
• Application Number:
  US13/754,475
• Time in Patent Office: 916 Days
• Field of Search: 707/732, 707/754, 707/731, 707/738
• US Class Current: 1/1
• CPC Class Codes: G06F 16/353 into predefined classes
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

Methods and systems for providing magazine edition recommendations are provided. Categories associated with retrieved magazine edition articles are analyzed. A magazine edition profile is generated for each magazine edition based on the categories for each of the retrieved articles of the corresponding magazine edition. The categories of magazine edition profiles are compared to categories of a profile of a user, wherein the user profile is based on categories of articles viewed by the user. A magazine edition recommendation based on the comparing is provided for display to the user. The edition recommendation may be a link or section of shown in a view of magazine edition content on a mobile device of the user. A user may be provided a convenient way to subscribe to the recommended magazine edition. A personalized magazine edition recommendation of highest ranked articles may also be provided.

Claims

1. A computer-implemented method comprising:

transmitting to a server data for determining categories associated with a plurality of articles viewed using a magazine edition on a mobile device, whereby the server generates a personalized magazine edition recommendation;

receiving the personalized magazine edition recommendation at the mobile device in response to the transmitted data, wherein;

the personalized magazine edition recommendation provides access to at least one recommended magazine edition having categories in magazine edition profiles that intersect with the categories determined based on the transmitted data,

the transmitted data includes a category associated with a category included in a trending magazine edition,

the personalized magazine edition recommendation includes the trending magazine edition based on the category in the transmitted data and the category in the trending magazine edition,

the category in the trending magazine is associated with a trending topic, and

a number of news stories associated with the trending topic exceeds a threshold value;

enabling a user to select a magazine edition from the at least one recommended magazine editions for download to the mobile device; and

downloading the selected magazine edition, wherein the magazine edition presents content in a pre-configured format on the mobile device.

2. The computer-implemented method of claim 1, wherein the receiving further comprises receiving the personalized magazine edition recommendation having embedded article links that link to the at least one recommended magazine editions.

3. The computer-implemented method of claim 2, wherein enabling a user to select the magazine edition further comprises enabling a user to select an article link embedded in the personalized magazine edition recommendation.

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

receiving a selection from the user associated with the magazine edition displayed on the mobile device;

transmitting the selection as part of the transmitted data; and

wherein the receiving the personalized magazine edition recommendation further comprises receiving the personalized magazine edition recommendation in real-time based on the selection transmitted as part of the transmitted data.

5. The computer-implemented method of claim 4, wherein the personalized magazine edition recommendation is generated based on a category associated with the selection transmitted as part of the transmitted data.

6. The computer-implemented method of claim 1, wherein the personalized magazine edition recommendation is generated based on a user profile aggregated from the transmitted data.

7. The computer-implemented method of claim 1, wherein the personalized magazine edition recommendation is generated based on the transmitted data at periodic time intervals.

8. The computer-implemented method of claim 1, wherein the selected magazine edition is a search magazine edition configured to present a dynamic display of articles collected from a plurality of content sources on a trending topic.

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

displaying the selected magazine edition in the format compatible with the mobile device and as preconfigured by a publisher of the selected magazine edition.

10. The computer-implemented method of claim 1, wherein each category of the categories determined based on the transmitted data is assigned a weight, the personal magazine edition recommendation is associated with a matching score based on similarities and weights of the intersecting categories, and the matching score exceeds a matching threshold value.

11. A system comprising:

a non transitory memory;

a hardware processor coupled to the non-transitory memory; and

an edition player stored in the non-transitory memory and executing on the hardware processor and configured to;

transmit to a server data for determining categories associated with a plurality of articles viewed using a magazine edition on a mobile device, whereby the server generates a personalized magazine edition recommendation;

receive the personalized magazine edition recommendation at the mobile device in response to the transmitted data, wherein;

the personalized magazine edition recommendation provides access at least one recommended magazine editions having categories in magazine edition profiles that intersect with the categories determined based on the transmitted data,

the transmitted data includes a category associated with a category included in a rending magazine edition,

the personalized magazine edition recommendation includes the trending magazine edition based on the category in the transmitted data and the category in the trending magazine edition,

the category in the trending magazine is associated with a trending topic, and

a number of news stories associated with the ten ing topic exceeds a threshold value;

enable a user to select a magazine edition from the at least one recommended magazine editions for download to the mobile device; and

download the selected magazine edition, wherein the magazine edition presents content in a pre-configured format on the mobile device.

12. The system of claim 11, wherein to receive the personalized magazine edition recommendation, the edition player is further configured to receive the personalized magazine edition recommendation having embedded article links that link to the at least one recommended magazine editions.

13. The system of claim 12, wherein enabling a user to select the magazine edition, the edition player is further configured to enable a user to select an article link embedded in personalized magazine edition recommendation.

14. The system of claim 11, wherein the edition player is further configured to:

receive a selection from the user associated with browsing the magazine edition;

transmit the selection as part of the data; and

wherein to receive the personalized magazine edition recommendation, the edition player further receives the personalized magazine edition recommendation in real-time based on the selection transmitted as part of the transmitted data.

15. The system of claim 14, wherein the edition player is further configured to receive the personalized magazine edition recommendation generated based on a category associated with the selection transmitted as part of the data.

16. The system of claim 11, wherein the personalized magazine edition recommendation is generated based on a user profile aggregated from the transmitted data.

17. The system of claim 11, wherein the personalized magazine edition recommendation is generated based on the transmitted data at periodic time intervals.

18. The system of claim 11, wherein the selected magazine edition is a search magazine edition configured to present a dynamic display of articles collected from a plurality of content sources on a trending topic.

19. The system of claim 11, wherein the edition player is further configured to:

display the selected magazine edition in the format compatible with the mobile device and as preconfigured by a publisher of the selected magazine edition.

20. The system of claim 11, wherein each category of the categories determined based on the transmitted data is assigned a weight, the personal magazine edition recommendation is associated with a matching score based on similarities and weights of the intersecting categories, and the matching score exceeds a matching threshold value.