Rovi Guides, Inc.

Amazon Technologies, Inc.

Rovi Product Corporation

Sai Rahul Reddy Pulikunta

Abubakkar Siddiq

Sashikumar Venkataraman

Milan Indu Patel

Ajay Kumar Gupta

Sankar Ardhanari

Ganesh Ramamoorthy

Gregory Newell

Eliav Kahan

Ravi Chandra Reddy Yasa

Abhijit Satchidanand Savarkar

Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.

Generating input alternatives

In some aspects, control circuitry receives and stores a user-specified time duration to associate with a skip-forward command. When the user later issues a skip-forward command to advance playback of a media asset to a desired location, the control circuitry retrieves the stored time duration, and determines an expected overshoot value associated with the skip-forward command. The control circuitry then compensates for the expected overshoot by calculating a new location in the media asset based on both the retrieved time duration and expected overshoot value. Upon advancing to the new location, the media asset is played back in a fast-forward mode, e.g., at a speed higher than normal speed.

Methods and systems for customizing skip-forward functionality

Methods and systems are disclosed herein for accurately training a machine learning model with a reduced training data set. A large number of data records may be parsed. Each record may be reduced to a set of symbols representing the composition of each record. A user may assign a classification to each symbol within each record. Records with identical arrangements and classifications of symbols may be grouped together, and a representative sample of data records from each group may be fed into the model as the reduced training data set.

Methods and systems for training a machine learning system using a reduced data set

Methods and systems for customizing skip forward functionality

Methods and systems that improve the ability of a media guidance application to aggregate information from one or more sources and one or more mediums. For example, the media guidance application may automatically collect information based on attributes associated with information of a particular type. Specifically, the media guidance application may determine based on comparison with verified training data that one source or medium typically associates information of a particular type, for example, 'Actor,' with one or more path attributes, for example, a location in a directory structure. The media guidance application may then search the source or medium for the one or more path attributes. Upon detecting the one or more path attributes, the media guidance application may designate any sub-set of information associated with the one or more path attributes as a particular type of information.

Methods and systems for aggregating data from webpages using path attributes

Systems and methods for automatically detecting date information in electronic documents. In some embodiments, a media guidance application may automatically associate a first partial calendar date-and-time indicator to a second partial calendar date-and-time indicator that appears at a separate location in a document. The media guidance application may determine whether the partial calendar date-and-time indicators are correlated, and then combine the partial calendar date-and-time indicators to obtain a complete date-and-time representation.

Systems and methods for detecting and correlating schedule-related information in an electronic document to generate a calender schedule indicator

Growing community of inventors

North Andover, MA, United States of America

Sai Rahul Reddy Pulikunta