Automatic rating optimization
First Claim
Patent Images
1. A method, comprising:
- receiving, by a content rating system, ratings that are associated with a content, wherein the ratings are received from rating sources, wherein a first one of the ratings is from a first one of the rating sources;
ascertaining, by the content rating system, an indication of whether the rating sources accessed the content;
determining, by the content rating system, an effect each of the ratings has on a popularity of the content for a time period after which the first one of the ratings is provided to at least one potential consumer of the content;
ascertaining by the content rating system, preference profiles, wherein each of the rating sources is associated with one of the preference profiles, wherein each of the preference profiles is based on consumption habits of the rating sources, wherein a first one of the preference profiles is associated with the first one of the rating sources and a second one of the preference profiles is associated with a potential consumer of the content;
determining, by the content rating system, a degree of relatedness between the first one of the preference profiles and the second one of the preference profiles;
detecting a number of times that the content was accessed by the first one of the rating sources; and
adjusting, by the content rating system, a weight of the first one of the ratings, wherein;
the weight of the first one of the ratings is increased if the first one of the ratings comprises a positive rating and the popularity of the content increases in the time period;
the weight of the first one of the ratings is increased if the first one of the ratings comprises a negative rating and the popularity of the content decreases in the time period;
the weight of the first one of the ratings is increased if the first one of the rating sources accessed the content;
the weight of the first one of the ratings is decreased if the first one of the ratings comprises a negative rating and the popularity of the content does not decrease in the time period;
the weight of the first one of the ratings is decreased if the first one of the ratings comprises a positive rating and the popularity of the content does not increase in the time period;
the weight of the first one of the ratings is decreased if the first one of the rating sources did not access the content;
the weight of the first one of the ratings is increased if the degree of relatedness comprises a high degree of relatedness;
the weight of the first one of the ratings is decreased if the degree of relatedness comprises a low degree of relatedness; and
the weight of the first one of the ratings is increased if the content was accessed on multiple occasions by the first one or the rating sources.
6 Assignments
0 Petitions
Accused Products
Abstract
Automatic rating optimization is described. In an embodiment, ratings of a program can be received from one or more rating sources. Based on these ratings, a representation of a content selection mechanism can be sent to potential consumers of the content. Access events for the content can be counted over a duration of time so a determination can be made regarding how the ratings provided by each of the rating sources affect popularity of the content. A weight accorded to ratings received from each of the rating sources can be adjusted based on the determination. Profiles can be established for consumers and/or rating sources.
-
Citations
20 Claims
-
1. A method, comprising:
-
receiving, by a content rating system, ratings that are associated with a content, wherein the ratings are received from rating sources, wherein a first one of the ratings is from a first one of the rating sources; ascertaining, by the content rating system, an indication of whether the rating sources accessed the content; determining, by the content rating system, an effect each of the ratings has on a popularity of the content for a time period after which the first one of the ratings is provided to at least one potential consumer of the content; ascertaining by the content rating system, preference profiles, wherein each of the rating sources is associated with one of the preference profiles, wherein each of the preference profiles is based on consumption habits of the rating sources, wherein a first one of the preference profiles is associated with the first one of the rating sources and a second one of the preference profiles is associated with a potential consumer of the content; determining, by the content rating system, a degree of relatedness between the first one of the preference profiles and the second one of the preference profiles; detecting a number of times that the content was accessed by the first one of the rating sources; and adjusting, by the content rating system, a weight of the first one of the ratings, wherein; the weight of the first one of the ratings is increased if the first one of the ratings comprises a positive rating and the popularity of the content increases in the time period; the weight of the first one of the ratings is increased if the first one of the ratings comprises a negative rating and the popularity of the content decreases in the time period; the weight of the first one of the ratings is increased if the first one of the rating sources accessed the content; the weight of the first one of the ratings is decreased if the first one of the ratings comprises a negative rating and the popularity of the content does not decrease in the time period; the weight of the first one of the ratings is decreased if the first one of the ratings comprises a positive rating and the popularity of the content does not increase in the time period; the weight of the first one of the ratings is decreased if the first one of the rating sources did not access the content; the weight of the first one of the ratings is increased if the degree of relatedness comprises a high degree of relatedness; the weight of the first one of the ratings is decreased if the degree of relatedness comprises a low degree of relatedness; and the weight of the first one of the ratings is increased if the content was accessed on multiple occasions by the first one or the rating sources. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
-
-
9. A content rating system, comprising:
-
a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, comprising; receiving ratings that are associated with a content, wherein the ratings are received from rating sources, wherein a first one of the ratings is from a first one of the rating sources; ascertaining an indication of whether the rating sources accessed the content; determining an effect each of the ratings has on popularity of the content for a time period after which the first one of the ratings is provided to at least one potential consumer of the content; ascertaining preference profiles, wherein each of the rating sources is associated with one of the preference profiles, wherein each of the preference profiles is based on consumption habits of the rating sources, wherein a first one of the preference profiles is associated with the first one of the rating sources and a second one of the preference profiles is associated with a potential consumer of the content; determining a degree of relatedness between the first one of the preference profiles and the second one of the preference profiles; detecting a number of times that the content was accessed by the first one of the rating sources; and adjusting a weight of the first one of the ratings, wherein; the weight of the first one of the ratings is increased if the first one of the ratings if the first one of the ratings rating comprises a positive rating and the popularity of the content increases in the time period; the weight of the first one of the ratings is increased if the first one of the ratings comprises a negative rating and the popularity of the content decreases in the time period; the weight of the first one of the ratings is increased if the first one of the rating sources accessed the content; the weight of the first one of the ratings is decreased if the first one of the ratings comprises a negative rating and the popularity of the content does not decrease in the time period; the weight of the first one of the ratings is decreased if the first one of the ratings comprises a positive rating and the popularity of the content does not increase in the time period; the weight of the first one of the ratings is decreased if the first one of the rating sources did not access the content; the weight of the first one of the ratings is increased if the degree of relatedness comprises a high degree of relatedness; the weight of the first one of the ratings is decreased if the degree of relatedness comprises a low degree of relatedness; and the weight of the first one of the ratings is increased if the content was accessed on multiple occasions by the first one of the rating sources. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18)
-
-
19. A non-transitory machine-readable storage medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, comprising:
-
receiving ratings that are associated with a content, wherein the ratings are received from rating sources, wherein a first one of the ratings is from a first one of the rating sources; ascertaining an indication of whether the rating sources accessed the content; determining an effect each of the ratings has on a popularity of the content for a time period after which the first one of the ratings is provided to at least one potential consumer of the content; ascertaining preference profiles, wherein each of the rating sources is associated with one of the preference profiles, wherein each of the preference profiles is based on consumption habits of the rating sources, wherein a first one of the preference profiles is associated with the first one of the rating sources and a second one of the preference profiles is associated with a potential consumer of the content; determining a degree of relatedness between the first one of the preference profiles and the second one of the preference profiles; detecting a number of times that the content was accessed by the first one of the rating sources; and adjusting a weight of the first one of the ratings, wherein;
the weight of the first one of the ratings is increased if the first one of the ratings comprises a positive rating and the popularity of the content increases in the time period;the weight of the first one of the ratings is increased if the first one of the ratings comprises a negative rating and the popularity of the content decreases in the time period; the weight of the first one of the ratings is increased if the first one of the rating sources accessed the content; the weight of the first one of the ratings is decreased if the first one of the ratings comprises a negative rating and the popularity of the content does not decrease in the time period; the weight of the first one of the ratings is decreased if the first one of the ratings comprises a positive rating and the popularity of the content does not increase in the time period; the weight of the first one of the ratings is decreased if the first one of the rating sources did not access the content; the weight of the first one of the ratings is increased if the degree of relatedness comprises a high degree of relatedness; the weight of the first one of the ratings is decreased if the degree of relatedness comprises a low degree of relatedness; and the weight of the first one of the ratings is increased if the content was accessed on multiple occasions by the first one or the rating sources. - View Dependent Claims (20)
-
Specification