Enhanced program guide

Patent metadata

Field	Value
Publication number	US-2016198230-A1
Application number	US-201615066614-A
Country	US
Kind code	A1
Filing date	Mar 10, 2016
Priority date	Jun 17, 2013
Publication date	Jul 7, 2016
Grant date	—

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.

First claim

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 program schedule data for a plurality of channels that broadcast a plurality of programs;
determine a relevance score associated with each program from the plurality of programs; and
generate a program guide with a subset of programs from the plurality of programs selected based on the relevance score, wherein the subset of programs are ordered in the program guide based on the relevance score and not indexed based on a channel identifier or a start time.

2 . The system of claim 1 , wherein presentation of the program guide is performed in manner that is independent of a channel axis associated with the channel and a time axis associated with the time of the broadcast.

3 . The system of claim 1 , wherein the hardware processor is further configured to determine the relevance score associated with the program by receiving input data from a user device, selecting a ranking model based on a type of input data received from the user device, and applying the selected ranking model to the input data to generate the relevance score.

4 . The system of claim 1 , wherein the hardware processor is further configured to determine the relevance score based on a time adjustment determined from a comparison of a current time to a start time or a remaining time for each program.

5 . The system of claim 4 , wherein the hardware processor is further configured to determine the time adjustment as a function of a genre or a category associated with each program, wherein the time adjustment influences the relevance score more significantly for a first genre or category than for a second genre or category.

6 . The system of claim 1 , wherein the hardware processor is further configured to determine the relevance score based on a language adjustment determined based on data associated with a user device.

7 . The system of claim 1 , 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 a user device.

8 . The system of claim 1 , wherein the hardware processor is further configured to determine the relevance score based on a personalization adjustment determined based on data associated with a user device or a user, and a ranking model.

9 . The system of claim 1 , 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 program.

10 . The system of claim 1 , 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 program.

11 . A method for media guidance, the method comprising:
receiving program schedule data for a plurality of channels that broadcast a plurality of programs; determining a relevance score associated with each program from the plurality of programs; and generating a program guide with a subset of programs from the plurality of programs selected based on the relevance score, wherein the subset of programs are ordered in the program guide based on the relevance score and not indexed based on a channel identifier or a start time.

12 . The method of claim 11 , wherein presentation of the program guide is performed in manner that is independent of a channel axis associated with the channel and a time axis associated with the time of the broadcast.

13 . The method of claim 11 , wherein determining the relevance score associated with each program further comprises receiving input data from a user device, selecting a ranking model based on a type of input data received from the user device, and applying the selected ranking model to the input data to generate the relevance score.

14 . The method of claim 11 , wherein the relevance score is determined based on a time adjustment determined from a comparison of a current time to a start time or a remaining time for each program.

15 . The method of claim 14 , wherein the time adjustment is determined as a function of a genre or a category associated with each program, and wherein the time adjustment influences the relevance score more significantly for a first genre or category than for a second genre or category.

16 . The method of claim 11 , wherein the relevance score is determined based on a language adjustment determined based on data associated with a user device.

17 . The method of claim 11 , wherein the relevance score is determined based on a media content quality adjustment determined based on data associated with a user device.

18 . The method of claim 11 , wherein the relevance score is determined based on a personalization adjustment determined based on data associated with a user device or a user, and a ranking model.

19 . The method of claim 11 , wherein the relevance score is determined based on a live broadcast popularity adjustment determined based on data associated with the program.

20 . The method of claim 11 , wherein the relevance score is determined based on a daypart adjustment determined based on a calendar time associated with the broadcast of the program.

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 program schedule data for a plurality of channels that broadcast a plurality of programs; determining a relevance score associated with each program from the plurality of programs; and generating a program guide with a subset of programs from the plurality of programs selected based on the relevance score, wherein the subset of programs are ordered in the program guide based on the relevance score and not indexed based on a channel identifier or a start time.

Assignees

• Google Inc

Inventors

• Funk Gregory Allan
• Drochomirecki Przemek
• Glowaty Grzegorz
• Surazski Jacek Jakub

Classifications

• H04N21/251

  Learning process for intelligent management, e.g. learning user preferences for recommending movies (details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08) · CPC title

• H04N21/4532

  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 title

• H04N21/4668

  for recommending content, e.g. movies · CPC title

• H04N21/4667

  Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections · CPC title

• H04N21/84

  Generation or processing of descriptive data, e.g. content descriptors {(systems specially adapted for using meta-information in broadcast systems H04H60/73)} · CPC title