Systems and methods for automatic program recommendations based on user interactions

Patent metadata

Field	Value
Publication number	US-9852214-B2
Application number	US-201615078639-A
Country	US
Kind code	B2
Filing date	Mar 23, 2016
Priority date	Sep 25, 2012
Publication date	Dec 26, 2017
Grant date	Dec 26, 2017

Abstract

Methods and systems are provided for generating automatic program recommendations based on user interactions. In some embodiments, control circuitry processes verbal data received during an interaction between a user of a user device and a person with whom the user is interacting. The control circuitry analyzes the verbal data to automatically identify a media asset referred to during the interaction by at least one of the user and the person with whom the user is interacting. The control circuitry adds the identified media asset to a list of media assets associated with the user of the user device. The list of media assets is transmitted to a second user device of the user.

First claim

What is claimed is:

1. A method for automatically performing an action on a recommended media asset, the method comprising:
receiving, using control circuitry, data representing an interaction between a user and a person with whom the user is interacting;
processing the received data to extract media asset identifiers;
comparing the extracted media asset identifiers with a plurality of media assets in a media asset database;
identifying a media asset, referenced in the extracted media asset identifiers, from the plurality of media assets based on the comparing;
retrieving, from user preferences of the user, an action previously identified by the user; and
automatically performing the action on the media asset.

2. The method of claim 1 , further comprising:
determining a level of interest in the media asset of at least one of the user and the person with whom the user is interacting based on the received data;
comparing the level of interest to a threshold level;
determining whether the level of interest is above the threshold level based on comparing the level of interest to the threshold level; and
automatically performing the action in response to determining that the level of interest is above the threshold level.

3. The method of claim 2 , further comprising determining the level of interest based on a characterization of the media asset in the received data by at least one of the user and the person with whom the user is interacting.

4. The method of claim 1 , further comprising:
retrieving, from a database of friends of the user, a recommendation weight corresponding to the person with whom the user is interacting;
comparing the recommendation weight to a threshold weight;
determining whether the recommendation weight is above the threshold weight; and
determining whether to perform the action on the media asset in response to determining that the recommendation weight is above the threshold weight.

5. The method of claim 1 , further comprising:
receiving a user selection of the action indicating that that action should be performed in response to identifying the media asset referenced in the extracted media asset identifiers; and
storing the action in the user preferences of the user.

6. The method of claim 1 , further comprising:
determining a number of times the media asset was referred to in the interaction;
comparing the number to a threshold number;
determining whether the number is greater than the threshold number; and
automatically performing the action in response to determining that the number is greater than the threshold number.

7. The method of claim 1 , further comprising:
determining a number of interactions in which the media asset was referred to;
comparing the number of interactions to a threshold number;
determining whether the number of interactions is greater than the threshold number; and
automatically performing the action in response to determining that the number of interactions is greater than the threshold number.

8. The method of claim 1 , further comprising identifying the person with whom the user is interacting based on information received from at least one of the user's social contacts, the user's mobile device contacts, the user's e-mail contacts, and the user's messaging contacts.

9. The method of claim 1 , further comprising:
determining whether the user has previously accessed the media asset; and
automatically performing the action in response to determining the user has not previously accessed the media asset.

10. The method of claim 1 , further comprising:
generating for display, in response to the identifying, a plurality of actions associated with the media asset, wherein the plurality of actions comprise any combination of: setting a reminder for the media asset, recording the media asset, adding the media asset to a queue associated with the user, bookmarking the media asset, sending the user a link to information associated with the media asset, and adding the media asset to a list; and
receiving a user selection of the action from the plurality of actions.

11. A system for automatically performing an action on a recommended media asset, the system comprising:
storage circuitry configured to store a media asset database and user preferences of a user; and
control circuitry configured to:
receive data representing an interaction between the user and a person with whom the user is interacting;
process the received data to extract media asset identifiers;
compare the extracted media asset identifiers with a plurality of media assets in the media asset database;
identify a media asset, referenced in the extracted media asset identifiers, from the plurality of media assets based on the comparing;
retrieve, from the user preferences of the user, an action previously identified by the user; and
automatically perform the action on the media asset.

12. The system of claim 11 , wherein the control circuitry is further configured to:
determine a level of interest in the media asset of at least one of the user and the person with whom the user is interacting based on the received data;
compare the level of interest to a threshold level;
determine whether the level of interest is above the threshold level based on comparing the level of interest to the threshold level; and
automatically perform the action in response to determining that the level of interest is above the threshold level.

13. The system of claim 12 , wherein the control circuitry is configured to determine the level of interest by being configured to determine the level of interest based on a characterization of the media asset in the received data by at least one of the user and the person with whom the user is interacting.

14. The system of claim 11 , wherein the control circuitry is further configured to:
retrieve, from a database of friends of the user, a recommendation weight corresponding to the person with whom the user is interacting;
compare the recommendation weight to a threshold weight;
determine whether the recommendation weight is above the threshold weight; and
determine whether to perform the action on the media asset in response to determining that the recommendation weight is above the threshold weight.

15. The system of claim 11 , wherein the control circuitry is further configured to:
receive a user selection of the action indicating that that action should be performed in response to identifying the media asset referenced in the extracted media asset identifiers; and
store the action in the user preferences of the user.

16. The system of claim 11 , wherein the control circuitry is further configured to:
determine a number of times the media asset was referred to in the interaction;
compare the number to a threshold number;
determine whether the number is greater than the threshold number; and
automatically perform the action in response to determining that the number is greater than the threshold number.

17. The system of claim 11 , wherein the control circuitry is further configured to:
determine a number of interactions in which the media asset was referred to;
compare the number of interactions to a threshold number;
determine whether the number of interactions is greater than the threshold number; and
automatically perform the action in response to determining that the number of interactions is greater than the threshold number.

18. The system of claim 11 , wherein the control circuitry is further configured to identify the person with

Assignees

• Rovi Guides Inc

Inventors

• Fife Brian
• Braness Jason
• Papish Michael
• Woods Thomas Steven

Classifications

• G10L17/22

  Interactive procedures; Man-machine interfaces · CPC title

• H04N21/47214

  for content reservation or setting reminders; for requesting event notification, e.g. of sport results or stock market (stock exchange data over packet-switching network H04L12/1804; push services over packet-switching network H04L12/1859; notification of incoming messages in packet switching networks H04L51/224) · CPC title

• H04N21/4667

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

• G06F16/74

  Browsing; Visualisation therefor (end-user interfaces for requesting or interacting with video content, e.g. video on demand interfaces or electronic programme guides, H04N21/472) · CPC title

• H04N21/252 Primary

  Processing of multiple end-users' preferences to derive collaborative data · CPC title