CROSS-PLATFORM PREDICTIVE POPULARITY RATINGS FOR USE IN INTERACTIVE TELEVISION APPLICATIONS
Systems and methods for determining cross-platform predictive popularity ratings information are provided. An interactive television application operating on at least one predetermined platform, such as an online interactive application platform, may monitor user interactions with the interactive television application to obtain cross-platform data, which may be used to determine predictive popularity ratings information. The predictive popularity ratings information may then be distributed for use in at least one platform of a type different than the type of the predetermined platform, such as a user television
1 - 25 . (canceled)
26 . A method for providing predictive popularity ratings of media content, the method comprising:
receiving user actions associated with a media asset on a website;
generating popularity information for the media asset based on the user actions;
generating for display on a display device media asset listings that include a media asset listing for the media asset; and
transmitting an instruction to display, on the display device, a graphical representation indicating a range of popularity of the media asset based on the popularity information within the media asset listing for the media asset.
27 . The method of claim 26 , wherein the user actions associated with the media asset include user activities on the website, which may indicate user interest in the media asset.
28 . The method of claim 26 , wherein the user actions associated with the media asset include user preferences associated with the media asset.
29 . The method of claim 26 , wherein the popularity information includes information about users from which the popularity information was generated.
30 . The method of claim 26 , wherein the popularity information indicates an amount of users from which the popularity information was generated.
31 . The method of claim 26 , further comprising:
determining a group of a user associated with the user actions; and
filtering the user actions based on the group of the user associated with the user actions.
32 . The method of claim 26 , further comprising:
determining whether a first user, associated with the user actions, and a second user, accessing the media asset listings, belong to a group; and
in response to determining the first user and the second user do not belong to the group, transmitting an instruction not to use the user actions to generate the popularity information.
33 . The method of claim 26 , further comprising:
determining the significance of the user actions; and
filtering the user actions based on the significance of the user action.
34 . The method of claim 26 , wherein the user actions are received in real-time.
35 . The method of claim 26 , further comprising assigning different weights to the user actions based on a type of the website.
36 . A system for providing predictive popularity ratings of media content, the system comprising control circuitry configured to:
receive user actions associated with a media asset on a website;
generate popularity information for the media asset based on the user actions;
generate for display on a display device media asset listings that include a media asset listing for the media asset; and
transmit an instruction to display, on the display device, a graphical representation indicating a range of popularity of the media asset based on the popularity information within the media asset listing for the media asset.
37 . The system of claim 36 , wherein the user actions associated with the media asset include user activities on the website, which may indicate user interest in the media asset.
38 . The system of claim 36 , wherein the user actions associated with the media asset include user preferences associated with the media asset.
39 . The system of claim 36 , wherein the popularity information includes information about the users from which the popularity information was generated.
40 . The system of claim 36 , wherein the popularity information indicates the number of users from which the popularity information was generated.
41 . The system of claim 36 , wherein the control circuitry is further configured to:
determine a group of a user associated with the user actions; and
filter the user actions based on the group of the user associated with the user actions.
42 . The system of claim 36 , wherein the control circuitry is further configured to:
determine whether a first user, associated with the user actions, and a second user, accessing the media asset listings, belong to a group; and
in response to determining the first user and the second user do not belong to the group, transmit an instruction not to use the user actions to generate the popularity information.
43 . The system of claim 36 , wherein the control circuitry is further configured to:
determine the significance of the user actions; and
filter the user actions based on the significance of the user action.
44 . The system of claim 36 , wherein the user actions are received in real-time.
45 . The system of claim 36 , wherein the control circuitry is further configured to assign different weights to the user actions based on a type of the website.