Enhanced program guide

Abstract

Systems and methods described herein relate to an enhanced program guide for programs that are broadcast according to a defined schedule. Program titles included in the guide can be ordered based on a relevance rank or score, potentially with no other parameter employed in determining a position of a program title within the guide. Presentation of the guide can be independent of a time axis or dimension and a channel axis or dimension. Titles can be displayed in a manner that is independent of a start time or running length of the associated program.

What is claimed is: 
     
         1 . A system for media guidance, the system comprising:
 a memory that stores computer executable components; and   a hardware processor that, when executing the computer executable components stored in the memory, is configured to:
 receive guidance data associated with a plurality of media content items; 
 determine a relevance score associated with each media content item of the plurality of media content items, wherein the relevance score is based on a language adjustment value that is determined by (i) determining a location of a user device using one or more Internet protocol geolocation techniques and (ii) determining the language adjustment value for adjusting relevance scores based on the determined location; 
 generate a modified program guide with a subset of media content items from the plurality of media content items selected based on the relevance score, wherein the subset of media content items are ordered in the modified program guide based on the relevance score and independent of source information and time information received with the guidance data; and 
 cause the modified program guide to be presented. 
   
     
     
         2 . The system of  claim 1 , wherein the guidance data comprises program schedule data for a plurality of channels that broadcast a plurality of programs, wherein the program schedule data includes, for each of the plurality of channels, title information of a program being broadcast on a channel and time information associated with a time of the broadcast of the program. 
     
     
         3 . The system of  claim 2 , wherein the modified program guide is independent of a channel axis associated with the channel and a time axis associated with the time of the broadcast. 
     
     
         4 . The system of  claim 1 , wherein the hardware processor is further configured to:
 receive a request to present a program guide on the user device;   cause a program guide to be presented in response to the request; and   subsequent to presenting the program guide, detect a viewing style from a plurality of viewing styles based on content types associated with previously viewed media content items.   
     
     
         5 . The system of  claim 4 , wherein the hardware processor is further configured to replace the program guide with the modified program guide. 
     
     
         6 . The system of  claim 4 , wherein the hardware processor is further configured to determine, from the user device, a plurality of relevance factors based on the previously viewed media content items that include a time adjustment value based on the time remaining in the broadcast of the media content item, the language adjustment value, and a popularity adjustment value. 
     
     
         7 . The system of  claim 6 , wherein the hardware processor is further configured to determine the relevance score associated with each media content item from the plurality of media content items based on the detected viewing style, wherein the relevance score is determined by selecting a ranking model for each of the plurality of relevance factors from a plurality of ranking models based on a type of relevance factor received from the user device, applying each of the selected ranking models to the corresponding relevance factor in which a first output from a first ranking model indicates a likelihood that a user of the user device would watch each media content item based on the determined time adjustment value, a second output from a second ranking model indicates a likelihood that the user of the user device would watch each media content item presented in a particular language based on the determined language adjustment value, and a third output from a third ranking model indicates a likelihood that the user of the user device would watch each media content item having a particular viewership based on the determined popularity adjustment value, and combining outputs from each of the selected ranking models to generate the relevance score. 
     
     
         8 . The system of  claim 6 , wherein the hardware processor is further configured to determine the relevance score based on a media content quality adjustment determined based on data associated with the user device. 
     
     
         9 . The system of  claim 6 , wherein the hardware processor is further configured to determine the relevance score based on a live broadcast popularity adjustment determined based on data associated with the media content item. 
     
     
         10 . The system of  claim 6 , wherein the hardware processor is further configured to determine the relevance score based on a daypart adjustment determined based on a calendar time associated with the broadcast of the media content item. 
     
     
         11 . A method for media guidance, the method comprising:
 receiving guidance data associated with a plurality of media content items;   determining a relevance score associated with each media content item of the plurality of media content items, wherein the relevance score is based on a language adjustment value that is determined by (i) determining a location of a user device using one or more Internet protocol geolocation techniques and (ii) determining the language adjustment value for adjusting relevance scores based on the determined location;   generating a modified program guide with a subset of media content items from the plurality of media content items selected based on the relevance score, wherein the subset of media content items are ordered in the modified program guide based on the relevance score and independent of source information and time information received with the guidance data; and   causing the modified program guide to be presented.   
     
     
         12 . The method of  claim 11 , wherein the guidance data comprises program schedule data for a plurality of channels that broadcast a plurality of programs, wherein the program schedule data includes, for each of the plurality of channels, title information of a program being broadcast on a channel and time information associated with a time of the broadcast of the program. 
     
     
         13 . The method of  claim 12 , wherein the modified program guide is independent of a channel axis associated with the channel and a time axis associated with the time of the broadcast. 
     
     
         14 . The method of  claim 11 , further comprising:
 receiving a request to present a program guide on the user device;   causing a program guide to be presented in response to the request; and   subsequent to presenting the program guide, detecting a viewing style from a plurality of viewing styles based on content types associated with previously viewed media content items.   
     
     
         15 . The method of  claim 14 , further comprising replacing the program guide with the modified program guide. 
     
     
         16 . The method of  claim 14 , further comprising determining, from the user device, a plurality of relevance factors based on the previously viewed media content items that include a time adjustment value based on the time remaining in the broadcast of the media content item, the language adjustment value, and a popularity adjustment value. 
     
     
         17 . The method of  claim 16 , further comprising determining the relevance score associated with each media content item from the plurality of media content items based on the detected viewing style, wherein the relevance score is determined by selecting a ranking model for each of the plurality of relevance factors from a plurality of ranking models based on a type of relevance factor received from the user device, applying each of the selected ranking models to the corresponding relevance factor in which a first output from a first ranking model indicates a likelihood that a user of the user device would watch each media content item based on the determined time adjustment value, a second output from a second ranking model indicates a likelihood that the user of the user device would watch each media content item presented in a particular language based on the determined language adjustment value, and a third output from a third ranking model indicates a likelihood that the user of the user device would watch each media content item having a particular viewership based on the determined popularity adjustment value, and combining outputs from each of the selected ranking models to generate the relevance score. 
     
     
         18 . The method of  claim 16 , further comprising determining the relevance score based on a media content quality adjustment determined based on data associated with the user device. 
     
     
         19 . The method of  claim 16 , further comprising determining the relevance score based on a live broadcast popularity adjustment determined based on data associated with the media content item. 
     
     
         20 . The method of  claim 16 , further comprising determining the relevance score based on a daypart adjustment determined based on a calendar time associated with the broadcast of the media content item. 
     
     
         21 . A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for media guidance, the method comprising:
 receiving guidance data associated with a plurality of media content items;   determining a relevance score associated with each media content item of the plurality of media content items, wherein the relevance score is based on a language adjustment value that is determined by (i) determining a location of a user device using one or more Internet protocol geolocation techniques and (ii) determining the language adjustment value for adjusting relevance scores based on the determined location;   generating a modified program guide with a subset of media content items from the plurality of media content items selected based on the relevance score, wherein the subset of media content items are ordered in the modified program guide based on the relevance score and independent of source information and time information received with the guidance data; and   causing the modified program guide to be presented.