SYSTEM AND METHOD FOR GENERATING USER RECOMMENDATIONS

• US 20130166406A1
• Filed: 12/20/2012
• Published: 06/27/2013
• Est. Priority Date: 12/23/2011
• Status: Abandoned Application

• Current Assignee: Nook Digital, LLC (f/k/a Barnesandnoble.com LLC) (Bahwan CyberTek Pvt Ltd.)
• Original Assignee: Nook Digital, LLC (f/k/a Barnesandnoble.com LLC) (Bahwan CyberTek Pvt Ltd.)
• Inventors: Yardley, Emily S. D., Hu, Yufan, Mustich, James, HUANG, Jonathan Huizhong
• Application Number:
  US13/722,784
• Publication Number:
  US 20130166406A1
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

The present invention creates a new taxonomy called Reader Categories that incorporates a bookseller'"'"'s bookselling knowledge to generate more accurate and compelling recommendations to users. An initial “seeding” of the Reader Categories with content is performed by an editorial staff. A recommendation engine is then executed with respect to the initial seeds to generate recommendation of additional content for the Categories. A tool is provided that the editorial staff can use for the seeding and for providing feedback on the quality of algorithmically generated results. This helps the present invention extend the power of its recommendation algorithms by facilitating editorial ranking and seeding.

Claims

1. A method for generating content recommendations to users operable on a computer system having a database, the method comprising:

(a) establishing categories of content in the database, each category to contain an identification of content that is related;

(b) receiving an identification of initial seeds of content in each of the categories through a user interface of the computer system;

(c) the computer system executing a recommendation engine with respect to the content in each category, the recommendation engine generating recommendations of content for additions to the categories, the content being recommended being denoted as recommended content;

(d) receiving input through the user interface as to whether recommended content should be added to the categories;

(e) the computer system adding recommended content to the categories if approved;

(f) the computer system repeating acts (c)-(e) at least once; and

(g) the computer system generating content recommendations for users from the categories.

2. The method of claim 1, wherein the content is represented by information describing the content.

3. The method of claim 2, further comprising:

displaying the information describing the content contained in a particular category a display screen of the computer system; and

simultaneously displaying the information describing the recommended content for the particular category on the display screen of the computer system.

4. The method of claim 3, wherein the act of displaying the information describing the recommended content further comprises:

displaying a first level of recommended content on the display screen; and

simultaneously displaying a second level of recommended content on the display screen, wherein the first level of content is more closely related to the content contained in a particular category.

5. The method of claim 2, wherein content are books, the recommendation engine contains a content metadata database and the content metadata database contains information linking various books, the method further comprising:

receiving a selection of a particular book through the user interface of the computer system, the particular book having an author;

further executing the recommendation engine to identify other authors related to the author of the particular book; and

displaying the identified other authors on the display screen.

6. The method of claim 5, wherein the particular book is part of a series, the method further comprising:

further executing the recommendation engine to identify other series related to the series of the particular book; and

displaying the identified other series on the display screen.

7. The method of claim 2, further comprising:

receiving a selection of a category through the user interface of the computer system;

displaying the content of the selected category on the display screen;

receiving identifications of additions and deletions of content to the selected category through the user interface of the computer system; and

adding and deleting content in the selected category in accordance with the received identifications of additions and deletions.

8. A system for generating content recommendations to users, the system comprising:

a display screen;

a content database that contains items of electronic content;

a content metadata database, the content metadata database containing information describing respective items of the electronic content in the content database;

a memory that includes and instructions for operating the system; and

control circuitry coupled to the memory, coupled to the content database, coupled to the content metadata database and coupled to the display screen, the control circuitry capable of executing the instructions and is operable to at least;

(a) establish categories of content in a category database, each category to contain an identification of content that is related;

(b) receive an identification of initial seeds of content in each of the categories through a user interface on the display screen;

(c) execute a recommendation engine with respect to the content in each category, the recommendation engine generating recommendations of content for additions to the categories, the content being recommended being denoted as recommended content;

(d) receive input through the user interface approving whether recommended content should be added to the categories;

(e) add recommended content to the categories if approved;

(f) repeat acts (c)-(e) at least once; and

(g) generate content recommendations for users from the categories.

9. The system of claim 8, wherein the control circuitry executing the instructions is further operable to at least:

display the information describing the content contained in a particular category on the display screen; and

simultaneously display the information describing the recommended content for the particular category on the display screen.

10. The system of claim 9, wherein the control circuitry executing the instructions is further operable to at least:

display a first level of recommended content on the display screen; and

simultaneously display a second level of recommended content on the display screen, wherein the first level of content is more closely related to the content contained in a particular category.

11. The system of claim 8, wherein items of content are books and wherein the content metadata database contains information linking various books, the control circuitry executing the instructions is further operable to at least:

receive a selection of a particular book through the user, the book having an author;

further execute the recommendation engine to identify other authors related to the author of the particular book; and

display the identified other authors on the display screen,

12. The system of claim 11, wherein the particular book is part of a series, wherein the control circuitry executing the instructions is further operable to at least:

further execute the recommendation engine to identify other series related to the series of the particular book; and

display the identified other series on the display screen.

13. The system of claim 8, wherein the control circuitry executing the instructions is further operable to at least:

receive a selection of a category through the user interface;

display the information describing the respective items of content of the selected category on the display screen;

receive identifications of additions and deletions of content to the selected category through the user interface; and

adding and deleting content in the selected category in accordance with the received identifications of additions and deletions.

14. A non-transitory computer-readable medium comprising a plurality of instructions that, when executed by a computer system, at least cause the computer system to:

(a) establish categories of content in a category database, each category to contain an identification of content that is related;

(b) receive an identification of initial seeds of content in each of the categories through a user interface on a display screen of the computer system;

(c) execute a recommendation engine with respect to the content in each category, the recommendation engine generating recommendations of content for additions to the categories, the content being recommended being denoted as recommended content;

(d) receive input through the user interface approving whether recommended content should be added to the categories;

(e) add recommended content to the categories if approved;

(f) repeat acts (c)-(e) at least once; and

(g) generate content recommendations for users from the categories.

15. The non-transitory computer-readable medium of claim 14, wherein the computer system includes a content database that contains items of electronic content and a content metadata database containing information describing respective items of the electronic content in the content database, wherein the instructions further cause the computer system to:

display the information describing the content contained in a particular category on the display screen; and

simultaneously display the information describing the recommended content for the particular category on the display screen.

16. The non-transitory computer-readable medium of claim 15, wherein the instructions further cause the computer system to:

display a first level of recommended content on the display screen; and

simultaneously display a second level of recommended content on the display screen, wherein the first level of content is more closely related to the content contained in a particular category.

17. The non-transitory computer-readable medium of claim 14, wherein the computer system includes a content database that contains electronic books and a content metadata database containing information describing respective electronic books and information linking various electronic books, wherein the instructions further cause the computer system to:

receive a selection of a particular book through the user interface, the hook having an author;

further execute the recommendation engine to identify other authors related to the author of the particular book; and

display the identified other authors on the display screen.

18. The non-transitory computer-readable medium of claim 17, wherein the particular book is part of a series, wherein the instructions further cause the computer system to:

further execute the recommendation engine to identify other series related to the series of the particular book; and

display the identified other series on the display screen.

19. The non-transitory computer-readable medium of claim 14, wherein the instructions further cause the computer system to:

receive a selection of a category through the user interface;

display information describing the respective items of content of the selected category on the display screen;

receive identifications of additions and deletions of content to the selected category through the user interface; and

adding and deleting content in the selected category in accordance with the received identifications of additions and deletions.