System and method for aggregating ratings for media content

• US 9,959,543 B2
• Filed: 08/06/2012
• Issued: 05/01/2018
• Est. Priority Date: 08/19/2011
• Status: Active Grant

• Current Assignee: Redbox Automated Retail LLC (Chicken Soup For The Soul Holdings LLC)
• Original Assignee: Redbox Automated Retail LLC (Chicken Soup For The Soul Holdings LLC)
• Inventors: Maskatia, Imran, Rubinstein, Jason
• Primary Examiner(s): Iwarere, Oluseye
• Application Number:
  US13/567,988
• Publication Number:
  US 20130060648A1
• Time in Patent Office: 2,094 Days
• Field of Search: 705 267, 705347, 705330, 709224, 719328, 714 471
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04N 21/25875 involving end-user authentication restricting access to computer systems by authenticating users using a predetermined code G06F21/33; arrangements for secret or secure communication including means for verifying the identity or authority of a user of the system H04L9/32; networks authentication protocols H04L63/08; authentication in wireless network security H04W12/06
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/454 Content or additional data filtering, e.g. blocking advertisements
• CPC Class Codes: H04N 21/4622 Retrieving content or additional data from different sources, e.g. from a broadcast channel and the Internet web site content organization and management for information retrieval from the Internet G06F16/958; transmission by internet of broadcast information H04H60/82; stock exchange data over packet-switching network H04L12/1804; push services including data channel over packet-switching network H04L12/1859
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie

Abstract

Methods of aggregating and importing user-generated and/or professional ratings of media content are provided. User-generated ratings may have been previously created at a ratings source by a user associated with a customer profile. The method for aggregating ratings includes importing the ratings from the ratings source, storing the ratings in a customer profile, normalizing the ratings, and storing the normalized ratings. The normalized rating may be used to determine recommendations and preferences. The method for importing ratings includes receiving authentication information for a ratings source, authenticating to the ratings source, importing the ratings from the ratings source, and storing the ratings in a customer profile. Changes in the ratings may be detected and updated in the customer profile.

Claims

1. A method of aggregating ratings with computer(s) having processor(s) and memory, the method comprising, with the processor(s):

accessing a source of ratings;

determining whether the accessed source of ratings has authorized importation of the ratings by the processor(s) via an API;

(1) when the source of ratings has authorized importation of the ratings by the processor(s) via the API;

importing the ratings from the source of ratings via the API,

(2) when the source of ratings has not authorized importation of the ratings by the processor(s) via the API;

importing the ratings from the source of ratings via one or more data scraping techniques;

saving the imported ratings in a database;

hashing the imported ratings to generate one or more first hashes;

re-accessing the source of ratings;

hashing the re-accessed ratings to generate one or more second hashes;

comparing the first hashes to the second hashes, and when the first hashes differ from the second hashes;

updating the saved imported ratings in the database with the re-accessed ratings.

2. The method of claim 1, wherein the source of ratings includes multi-dimensional ratings for a single title.

3. The method of claim 1, including, with the processor(s):

accessing multiple sources of ratings;

importing ratings from multiple sources of ratings;

saving the ratings from the multiple sources of ratings in the database;

normalizing the saved ratings to a common scale.

4. The method of claim 3, including, with the processor(s):

associating each of the normalized ratings with a particular title;

for each particular title;

averaging the associated normalized ratings to generate a single normalized rating.

5. The method of claim 4, wherein the averaging is performed according to a formula that gives more weight to normalized ratings from a first source of ratings and less weight to normalized ratings from a second source of ratings.

6. The method of claim 4, including, with the processor(s):

receiving a ratings display request;

accessing one or more normalized ratings;

formatting the one or more normalized ratings based on the ratings display request.

7. The method of claim 1, including, with the processor(s):

retrieving credentials from a database;

accessing a content source with the retrieved credentials;

determining titles available on the content source;

storing a list of the available titles on the database.

8. The method of claim 7, including, with the processor(s):

generating a list of recommended titles based on;

(a) the updated saved imported ratings and (b) the list of the available titles stored in the database.

9. The method of claim 1, including, with the processor(s):

comparing the first hashes to the second hashes, and when the first hashes match the second hashes;

discarding and deleting the re-accessed ratings.

10. The method of claim 1, including, with the processor(s):

prior to saving the imported ratings in the database, determining whether the ratings from the source of ratings include a plurality of ratings for a single title, and if the determination is positive, combining the plurality of ratings for the single title into a combined rating; and

wherein the step of saving the imported ratings in the database includes, for each title with a plurality of ratings from the source of ratings, saving the combined rating in the database and discarding the plurality of ratings.

11. The method of claim 1, wherein at least one of the imported ratings includes a user transaction history.

12. A system comprising:

a central server with a first processor and a first memory, the first processor to cause the central server to;

access a plurality of sources of ratings of media content;

for each one of the plurality of sources of ratings, determine whether the central server is authorized to import the ratings via an API;

when the central server is authorized to import the ratings via an API, import the ratings from the source of ratings via the API, and when the central server is not authorized to import the ratings via the API, import the ratings from the source of ratings via one or more data scraping techniques;

save the imported ratings in a database;

hash the imported ratings to generate a first hash;

calculate combined ratings for the media content based on the imported ratings in the database;

re-access the source of ratings;

hash the re-accessed ratings to generate a second hash;

compare the first hashes to the second hash;

in response to the first hash differing from the second hash;

updating the saved imported ratings in the database with the re-accessed ratings and recalculating the combined ratings; and

an article dispensing machine with a second processor and second memory, the second processor to cause the article dispensing machine to;

receiving the combined ratings for the media content from the central server;

display a selection of the media content based on the combined ratings and which media articles corresponding to the media content are located within the article dispensing machine; and

in response to receiving a selection of one of the displayed media content, dispense the corresponding media article.