Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for detecting the semantics for columns in tabular data automatically in electronic documents. For example, a media guidance application may receive an electronic document that may contain a table relating to television program schedules. The media guidance application may then detect data rows that form the records of the table, and determine the column type for every column in the table to extract television program schedule information.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods are described to address shortcomings in the conventional media systems via a novel technique to update a list of scheduled recordings for a plurality of instances in a set of media assets. The plurality of media assets in the set of media assets may be related to the same competition. The list of scheduled recordings may be generated based on a user's request to schedule recordings for instances of media assets in which a participant of interest to the user may appear. The updating of the list of scheduled recordings is conditioned based on one or more competition rules determined for the set of related media assets. For example, the systems and methods may determine that the set of media assets are related to a play-off competition where a participant is eliminated from the play-off competition when the participant loses any two games of the competition.