Magazine edition recommendations

• US 8,370,348 B1
• Filed: 12/06/2011
• Issued: 02/05/2013
• Est. Priority Date: 12/06/2011
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Shalabi, Sami Mohammed, Reilly, James D., Shore, Maurice Bennett, Doll, Cassandra Lynn
• Primary Examiner(s): BOCCIO, VINCENT F
• Application Number:
  US13/312,677
• Time in Patent Office: 427 Days
• Field of Search: 707/705, 707/722, 707/723, 707/725, 707/732, 707/733, 707/734, 707/731, 707/738, 707/748
• US Class Current: 707/731
• 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 method for providing magazine edition recommendations comprising:

analyzing a plurality of categories identified based on one or more retrieved magazine edition articles, each of the one or more retrieved magazine edition articles associated with one or more categories in one or more magazine editions, wherein each magazine edition is a digital magazine configured to display one or more retrieved magazine edition articles from content sources of different types in a format specified by a publisher of each magazine edition;

generating a magazine edition profile for each magazine edition based on categories of the plurality of categories identified for one or more retrieved articles of the corresponding magazine edition;

generating a profile of a user that includes categories associated with articles in the one or more retrieved magazine editions viewed by the user;

comparing the categories associated with magazine edition profiles to categories of a profile of a user to determine intersecting categories, wherein the comparing farther comprises;

determining a matching score based on the similarity between the categories associated with the magazine edition profiles and the generated user profile, wherein the matching score is based on a function for determining the similarity between the categories; and

identifying the intersecting categories where the matching score exceeds a ranking threshold; and

providing a magazine edition recommendation for display to the user based on the comparing of the categories associated with magazine edition profiles to the categories of the profile of the user, wherein the magazine edition recommendation includes a personalized trending edition having a trending topic related to the intersecting categories, wherein the personalized trending edition is a magazine edition that includes content on a hot topic related to the intersecting categories and wherein the hot topic is a topic that is trending towards greater popularity during a preceding time interval.

2. The method of claim 1, further comprising enabling the user to subscribe to a magazine edition corresponding to the magazine edition recommendation.

3. The method of claim 1, wherein the analyzing includes assigning a weight to each category of the plurality of categories, and wherein the comparing includes combining the category weights and assigning a ranking.

4. The method of claim 1, further comprising generating a user specific magazine edition profile based on the comparing, wherein the user specific magazine edition includes articles selected based on comparing the categories associated with the magazine edition profile to categories associated with the user profile.

5. The method of claim 4, wherein providing the magazine edition recommendation includes providing a user specific magazine edition comprised of articles selected based on the user specific magazine edition profile.

6. The method of claim 1, wherein the user profile is also based on magazine editions subscribed to by the user.

15. The method of claim 1, further comprising:

generating a trending edition from a plurality of templates, wherein the generating further comprises;

determining a semantic meaning of a term in the trending topic;

identifying a template based on the semantic meaning; and

selecting the template for inclusion in the personalized trending edition, wherein the template is configured to display the content of the trending topic.

16. The method of claim 15, wherein the generating further comprises:

determining a trending category;

identifying a second template based on the trending category; and

selecting the second template for inclusion in the personalized trending edition, wherein the second template is configured to display the content of the trending topic.

7. A system for providing magazine edition recommendations comprising:

a category analyzer executing on a processor and configured to;

analyze a plurality of categories identified based on one or more retrieved magazine edition articles, each of the one or more retrieved magazine edition articles associated with one or more categories in one or more magazine editions, wherein each magazine edition is a digital magazine configured to display one or more retrieved magazine edition articles from content sources of different types in a format specified by a publisher of each magazine edition; and

generate a magazine edition profile for each magazine edition based on categories of the plurality of categories identified for one or more retrieved articles of the corresponding magazine edition;

generate a profile of a user that includes categories associated with articles in the one or more retrieved magazine editions viewed by the user; and

a recommendation provider configured to;

compare the categories associated with magazine edition profiles to categories of a profile of a user to determine intersecting categories, wherein to compare the categories the recommendation provider is further configured to;

determine a matching score based on the similarity between the categories associated with the magazine edition profiles and the generated user profile, wherein the matching score is based on a function for determining the similarity between the categories; and

identify the intersecting categories where the matching score exceeds a ranking threshold; and

provide a magazine edition recommendation for display to the user based on the comparing of the categories associated with magazine edition profiles to the categories of the profile of the user, wherein the magazine edition recommendation includes a personalized trending edition having a trending topic related to the intersecting categories, wherein the personalized trending edition is a magazine edition that includes content on a hot topic related to the intersecting categories and wherein the hot topic is a topic that is trending towards greater popularity during a preceding time interval.

8. The system of claim 7, wherein the user may subscribe to the magazine edition corresponding to magazine edition recommendation.

9. The system of claim 7, wherein the category analyzer is configured to assign a weight to each category of the plurality of categories, combine the category weights and assign a ranking.

10. The system of claim 7, wherein the category analyzer is further configured to search for articles and magazine editions based on the user profile.

11. The system of claim 10, wherein the recommendation provider is further configured to provide a magazine edition comprised of articles selected based on the magazine edition profile.

12. The system of claim 7, wherein the user profile is also based on magazine editions subscribed to by the user.

13. A method for providing personalized magazine edition recommendations comprising:

analyzing a plurality of categories associated with each of one or more articles;

providing a profile of a user that includes categories associated with articles in the one or more magazine editions viewed by the user;

comparing categories of the one or more articles to categories of the provided user profile to determine intersecting categories, wherein the comparing further comprises;

determining matching score based on the similarity between the categories associated with the one or more articles and the provided user profile, wherein the matching score is based on a function for determining the similarity between the categories; and

identifying the intersecting categories where the matching score exceeds a ranking threshold; and

ranking the one or more articles in the intersecting categories;

generating a personalized magazine edition recommendation of highest ranked articles, wherein the personalized magazine edition is a digital magazine configured to display the highest ranked articles from content sources of different types in a format specified by a publisher of each magazine edition; and

providing the personalized magazine edition recommendation for display to the user.

14. A system for providing magazine edition recommendations comprising:

a category analyzer executing on a processor and stored in a memory and configured to;

analyze a plurality of categories associated with each of one or more articles;

provide a profile of a user that includes categories associated with articles in the one or more magazine editions viewed by the user;

compare categories of the one or more articles to categories of the provided user profile to determine intersecting categories, wherein the comparing further comprises;

determine a matching score based on the similarity between the categories associated with the one or more articles and the provided user profile, wherein the matching score is based on a function for determining the similarity between the categories; and

identify the intersecting categories where the matching score exceeds a ranking threshold; and

rank the one or more articles in the intersecting categories; and

a recommendation provider configured to;

generate a personalized magazine edition recommendation of highest ranked articles, wherein the personalized magazine edition is a digital magazine configured to display the highest ranked articles from content sources of different types in a format specified by a publisher of each magazine edition; and

provide the personalized magazine edition recommendation for display to the user.