BACKGROUND

Given the plethora of content available for consumption, it is not always possible for users to consume a piece of content right when it is made available. In such cases, a user may record content for later consumption. However, recording devices have finite storage capacity and recorded content have to be periodically deleted from recording devices to ensure that there is storage capacity available for recording new content. Because a recording device may contain a large amount of recorded content, it is very cumbersome for a user to manually determine which recorded content should be deleted. Current systems may recommend recorded content for deletion based on a variety of factors (e.g., genre of a recording, number of playbacks, duration for which recorded content was stored on the recording device). However, current systems do not use a variety of independent rules for moving recorded content bi-directionally between multiple deletion recommendation categories. Consequently, current systems are limited to providing coarse granularity deletion recommendations that are not updated based on new information.

SUMMARY

Therefore, systems and methods are disclosed herein for classifying, based on most recent information associated with recorded content, the recorded content to an appropriate deletion classifier. A media guidance application may receive information about an event that is associated with a recorded media asset. The media guidance application may determine, based on the event and a current deletion classifier associated with the recorded media asset, whether the current deletion classifier associated with the recorded media asset needs to be updated to a new deletion classifier. The media guidance application may make this determination by accessing a deletion classification database containing rules for classifying recorded media assets into a variety of deletion classifiers. Upon determining that the current deletion classifier associated with the recorded media asset needs to be updated to a new deletion classifier, the media guidance application may update the current deletion classifier associated with the recorded media asset to the new deletion classifier.

In some aspects, a media guidance application may be configured to update, in response to detecting a pre-defined trigger event, a deletion classifier associated with a recorded media asset from a current deletion classifier to a new deletion classifier. As referred to herein, the term “deletion classifier” refers to a descriptor that indicates a particular deletion-related characteristic. Deletion classifier includes, but is not limited to, “Do Not Delete,” “O.K. to Delete,” “Recommended to Delete,” “Automatically Delete,” “Store a Back-up Copy on a Different Device and Delete,” and other similar classifiers. “Do Not Delete” deletion classifier may be used to indicate, to a user and the media guidance application, that a recorded media asset should not be deleted. As an illustrative example, “Do Not Delete” deletion classifier may be used for a recently recorded media asset that the user has not yet consumed. There may be an instruction associated with the “Do Not Delete” deletion classifier that instructs the media guidance application to refrain from deleting a recorded media asset corresponding to the “Do Not Delete” deletion classifier. As an illustrative example, the instruction may be a conditional programming statement for setting a “Delete” flag associated with a recorded media asset to “false” upon determining that the deletion classifier associated with the recorded media asset is “Do Not Delete.”

“O.K. to Delete” deletion classifier may be used to indicate that neither deleting a recorded media asset nor not deleting a recorded media asset will have a detrimental impact on user experience. “O.K. to Delete” deletion classifier may be used for a recorded media asset that does not occupy too much space (i.e., not deleting the recorded media asset will not significantly impact available storage capacity) and is also available for free via a media consumption platform associated with the user (i.e., deleting the recorded media asset will not impact the user's ability to consume a version of the media asset). As an illustrative example, the “O.K. to Delete” deletion classifier may be associated with an instruction that includes an if-else conditional statement. The media guidance application may, based on the instruction associated with the “O.K. to Delete” deletion classifier, refrain from deleting a recorded media asset corresponding to the “O.K. to Delete” deletion classifier upon detecting a set of criteria is true and, delete the recorded media asset corresponding to the “O.K. to Delete” deletion classifier upon detecting the set of criteria is false. For example, the media guidance application may set a “Delete” flag associated with a recorded media asset corresponding to the “O.K. to Delete” deletion classifier to “false” upon detecting available storage is not below a certain available storage threshold value. The media guidance application may set a “Delete” flag associated with a recorded media asset corresponding to the “O.K. to Delete” deletion classifier to “true” upon detecting available storage is below the certain available storage threshold value.

“Recommended to Delete” deletion classifier may be used to indicate to a user that it would be beneficial to delete a recorded media asset. “Recommended to Delete” deletion classifier may be used for a recorded media asset that has been stored on a storage for a time period that is longer than threshold time period (e.g., six months). As an illustrative example, the “Recommended to Delete” deletion classifier may be associated with an instruction for setting a “Delete” flag associated with a recorded media asset corresponding to the “Recommended to Delete” deletion classifier to “true” upon detecting a certain set of criteria is true. The criteria for setting “Delete” flag to “true” may be more stringent for the “Recommended to Delete” deletion classifier than the “O.K. to Delete” deletion classifier. As an illustrative example, instruction associated with “Recommended to Delete” deletion classifier may be a conditional statement that if available storage is less than fifty gigabytes, then “Delete” flag should be set to “true.” Instruction associated with “O.K. to Delete” deletion classifier may be a conditional statement that if available storage is less than five gigabytes, then “Delete” flag should be set to “true.”

“Automatically Delete” deletion classifier may be associated with an instruction that indicates that a recorded media asset should be deleted without requiring further input from a user. As an illustrative example, the instruction may be a conditional statement that if deletion classifier for a recorded media asset is “Automatically Delete,” then a “Delete” flag associated with the recorded media asset should be set to “true.” For example, when available storage capacity falls below a threshold value (e.g., ten percent of total storage capacity available), the media guidance application may update deletion classifier associated with a recorded media asset that the user has already consumed to “Automatically Delete.” The media guidance application may then set “Delete” flag associated with the recorded media asset to “true” and subsequently, delete the recorded media asset. “Store a Back-up Copy on a Different Device and Delete” deletion classifier may be associated with an instruction for storing a copy of a recorded media asset on another storage device prior to deleting the recorded media asset. “Store a Back-up Copy on a Different Device and Delete” deletion classifier may be used for a recently recorded media asset that the user has not consumed and that is consuming a lot of memory on the current storage device. For example, the media guidance application may store a back-up copy of a recorded media asset on a remote file hosting service associated with the user and then delete the recorded media asset from the DVR to free up more space for upcoming scheduled recordings. It should be noted that any systems and methods described here may be performed outside of a media guidance application.

The media guidance application may receive a first data packet containing information about a first event corresponding to a recorded media asset. As an illustrative example, a recorded media asset may be “Finding Nemo,” a computer-animated comedy-drama adventure film. The media guidance application may receive a data packet containing information that a user has watched a portion but not an entirety of “Finding Nemo” (e.g., ten minutes of playback time). The media guidance application may access a recorded media asset properties data structure (e.g., recording properties data structure) to retrieve a first deletion classifier associated with the recorded media asset. For example, the media guidance application may retrieve an “O.K. to Delete” deletion classifier associated with “Finding Nemo.”

The media guidance application may store, in a deletion classification database, a plurality of rule entries for classifying recorded media assets into a plurality of deletion classifiers, where each rule entry of the plurality of rule entries includes a trigger event field, an initial deletion classifier field and a final deletion classifier field, and each rule entry includes an instruction, for a given recorded media asset associated with a value corresponding to the initial deletion classifier field, for updating a deletion classifier associated with the given recorded media asset from the value corresponding to the initial deletion classifier field to a value corresponding to the final deletion classifier field in response to detecting an event corresponding to a value of the trigger event field.

As an illustrative example, the media guidance application may store two rules in a deletion classification database, rule A and rule B. For rule A, the values of the trigger event field, the initial deletion classifier field and the final deletion classifier field may be “a user has consumed a portion of recorded media asset that is not an entirety of the recorded media asset,” “O.K. to Delete” and “Do Not Delete” respectively. Rule A may include an instruction for updating a deletion classifier associated with a given recorded media asset from “O.K. to Delete” to “Do Not Delete,” in response to detecting that a user has consumed a portion, but not an entirety, of the given recorded media asset. For rule B, the values of the trigger event field, the initial deletion classifier field and the final deletion classifier field may be “a user has consumed a portion of recorded media asset that is not an entirety of the recorded media asset,” “Recommended to Delete” and “Do Not Delete” respectively. Rule B may include an instruction for updating a deletion classifier associated with a given recorded media asset from “Recommended to Delete” to “Do Not Delete,” in response to detecting that a user has consumed a portion, but not an entirety, of the given recorded media asset.

The media guidance application may query the deletion classification database for a first rule entry, where a value corresponding to a trigger event field associated with the first rule entry matches the first event and a value corresponding to a initial deletion classifier field associated with the first rule entry matches the first deletion classifier. For example, the media guidance application may query (e.g., by using database management languages such as SQL, JAPQL, CODASYL or another suitable language) the deletion classification database for a rule entry that has a trigger event field value of “a user has consumed a portion of recorded media asset that is not an entirety of the recorded media asset” and initial deletion classifier field value of “O.K. to Delete.” The media guidance application may retrieve, based on the querying, the first rule entry that is associated with both the first event and the first deletion classifier. For example, the media guidance application may retrieve rule A that is associated with both trigger event field value of “a user has consumed a portion of recorded media asset that is not an entirety of the recorded media asset” and initial deletion classifier field value of “O.K. to Delete.”

The media guidance application may retrieve a value corresponding to a final deletion classifier field associated with the first rule entry, where the value corresponding to the final deletion classifier field associated with the first rule entry is a second deletion classifier. For example, the media guidance application may retrieve “Do Not Delete” corresponding to the final deletion classifier field associated with rule A. The media guidance application may update the recorded media asset properties data structure by substituting the first deletion classifier associated with the recorded media asset with the second deletion classifier. For example, the media guidance application may update the recording properties data structure by substituting “O.K. to Delete” deletion classifier associated with “Finding Nemo” with “Do Not Delete” deletion classifier.

The media guidance application may use deletion classifiers to group recorded media asset identifiers in a display so that a user can easily identify a deletion classifiers associated with a given recorded media assets. For example, the media guidance application generate for display identifiers corresponding to recorded media assets associated with “Do Not Delete” delete classifier with one type of indicator (e.g., a red dot alongside the indicator) and identifiers corresponding to recorded media assets associated with “O.K. to Delete” delete classifier with another type of indicator (e.g., a yellow dot alongside the indicator). The media guidance application may, when generating for display an indicator associated with a given recorded media asset, retrieve deletion classifier associated with the given recorded media asset in order to determine type of indicator. In some embodiments, the media guidance application may receive a user request to view only recorded media assets associated with a specific deletion classifier (e.g., “Recommended to Delete”). The media guidance application may query the recordings properties data structure for recorded media assets that are associated with the specific deletion classifier and generate for display identifiers for recorded media assets returned by the query. In some embodiments, the media guidance application may automatically delete recorded media assets that are associated with a specific deletion classifier (e.g., “Automatically Delete”). The media guidance application may query the recordings properties for recorded media assets that are associated with the specific deletion classifier and automatically delete recorded media assets returned by the query.

In some embodiments, the media guidance application may, upon detecting a pre-defined trigger event, change current deletion classifier associated with a recorded media asset back to a deletion classifier that was previously associated with the recorded media asset. Specifically, the media guidance application may receive a second data packet containing information about a second event corresponding to the recorded media asset. For example, the media guidance application may receive a data packet containing information that “Finding Nemo” is freely available through a media consumption platform associated with the user (e.g., “Finding Nemo” is available for free on the user's Netflix account). The media guidance application may access the recorded media asset properties data structure to retrieve the second deletion classifier associated with the recorded media asset. For example, the media guidance application may retrieve a “Do Not Delete” deletion classifier associated with “Finding Nemo” from the recording properties data structure.

The media guidance application may retrieve, from the deletion classification database, a second rule entry that is associated with both the second event and the second deletion classifier. For example, the media guidance application may retrieve, from the deletion classification, rule C that has a trigger event field value of “a version of recorded media asset is freely available through a media consumption platform associated with the user,” and initial deletion classifier field value of “Do Not Delete.” Rule C may also include a final deletion classifier field value of “O.K. to Delete” and an instruction for updating a deletion classifier associated with a given recorded media asset from “Do Not Delete” to “O.K. to Delete,” in response to detecting that a version of recorded media asset is freely available through a media consumption platform associated with the user. The media guidance application may update the recorded media asset properties data structure by substituting the second deletion classifier associated with the recorded media asset with a value corresponding to a final deletion classifier field associated with the second rule entry, where the value corresponding to the final deletion classifier field associated with the second rule entry is the first deletion classifier. For example, the media guidance application may update the recording properties data structure by substituting “Do Not Delete” deletion classifier associated with “Finding Nemo” with “O.K. to Delete” deletion classifier.

In some embodiments, the media guidance application may be configured to update a deletion classifier associated with a recorded media asset from a current deletion classifier to a new deletion classifier based on at least two factors: detecting a pre-defined trigger event and determining some pre-defined criterion has been fulfilled. In some embodiments, a rule entry of the plurality of rule entries may include an additional information field. The rule entry may also include an instruction for updating the deletion classifier associated with the given recorded media asset that includes an instruction for updating the deletion classifier associated with the given recorded media asset in response to detecting both an event corresponding to a value of trigger event field associated with the rule entry and determining that a criterion defined by a value of the additional information field is fulfilled.

As an illustrative example, the deletion classification database may include rule D which has a trigger event field value of “user has consumed a portion of recorded media asset that is not an entirety of the recorded media asset,” additional information field value of “user is not interested in the recorded media asset,” an initial deletion classifier field value of “O.K. to Delete” and a final deletion classifier field value of “Recommended to Delete.” Rule D may include an instruction for updating deletion classifier associated with a given recorded media asset from “O.K. to Delete” to “Recommended to Delete,” in response to both detecting that a user has consumed a portion of recorded media asset that is not an entirety of the recorded media asset and determining that the user is not interested in the recorded media asset. For the case where current deletion classifier associated with “Finding Nemo” is “O.K. to Delete,” the media guidance application may, upon detecting that a user has watched ten minutes of “Finding Nemo,” access a data structure (e.g., a user profile data structure) to determine whether the user is interested in “Finding Nemo.” As an illustrative example, in response to determining that the user is interested in “Finding Nemo” (e.g., retrieving a “true” value for an “interested in media asset” field associated with “Finding Nemo”), the media guidance application may determine that the criterion defined by value of the additional information field is not fulfilled. Accordingly, the media guidance application may refrain from updating the deletion classifier associated with “Finding Nemo.” As another illustrative example, in response to determining that the user is not interested in “Finding Nemo” (e.g., retrieving a “false” value for an “interested m media asset” field associated with “Finding Nemo”), the media guidance application may determine that the criterion defined by value of the additional information field is fulfilled. Accordingly, the media guidance application may update the deletion classifier associated with “Finding Nemo” from “O.K. to Delete” to “Recommended to Delete.”

The media guidance application may store, in the deletion classification database, rule entries that correspond to different combinations of trigger event field values and additional information field values. A value that is associated with the trigger event field for one rule may be associated with the additional information field for another rule and vice versa. Value of the trigger event field and/or value of the additional information field may include, but is not limited to: a version of the given recorded media asset becoming available for free through a media consumption platform (e.g., “Finding Nemo” becoming available for free on Netflix); a version of the given recorded media asset being scheduled for broadcast within some pre-defined time period (e.g. “Finding Nemo” being scheduled for broadcast on Television channel ABC Family within one week time window from a current time); a user consuming a portion of the given recorded media asset (e.g., user watched ten minutes of “Finding Nemo”); the user consuming a portion of a version of the given recorded media asset that is available from a different source (e.g., user watched ten minutes of “Finding Nemo” on Netflix); media asset associated with the given recorded media asset being scheduled to be available within some pre-defined time period (e.g., “Finding Dory,” a sequel film to “Finding Nemo,” being scheduled for broadcast on Television channel ABC Family within one week time window from a current time); available memory of a storage device that the given recorded media asset is stored on falling below a pre-defined threshold available memory value (e.g., available storage capacity of DVR that “Finding Nemo” is stored on falling below ten percent of total storage capacity of the DVR); duration of time for which the given recorded media asset was stored on the storage device exceeding a pre-defined threshold storage time duration value (e.g., “Finding Nemo” being stored for more than three months); a level of interest of the user in the given recorded media asset (e.g., user having a interest score of eight in “Finding Nemo,” where interest score is defined on a scale of one to ten with a higher score corresponding to a greater level of interest); a number of users who have consumed the given recorded media asset (e.g., three registered users have consumed “Finding Nemo”); an identity of the user who has consumed the given recorded media asset (e.g., Toddler Tom has consumed “Finding Nemo”). In some embodiments, a rule entry may include multiple additional information fields. In such instances, the media guidance application may update a deletion classifier associated with a given recorded given media asset upon determining that all criteria defined by values corresponding to the multiple additional information fields have been fulfilled.

In some embodiments, rule entries in the deletion classification database may have priority values associated with them where a priority value associated with a given rule indicates an importance of the given rule on some pre-defined scale. In some embodiments, each rule entry of the plurality of rule entries may further include a priority field, where a value corresponding to a priority field associated with a given rule entry defines a priority level associated with the given rule entry. As an illustrative example, priority level may be defined on a scale of one to ten, with priority level of ten being most important. For example, rule A, with trigger event field value of “a user has consumed a portion of recorded media asset that is not an entirety of the recorded media asset,” initial deletion classifier field value of “O.K. to Delete” and final deletion classifier field value of “Do Not Delete,” may have priority field value of five. For example, rule D, with trigger event field value of “user has consumed a portion of recorded media asset that is not an entirety of the recorded media asset,” additional information field value of “user is not interested in the recorded media asset,” initial deletion classifier field value of “O.K. to Delete” and final deletion classifier field value of “Recommended to Delete,” may have priority field value of ten. Thus, in this illustrative example, rule D is a more important than rule A.

In some embodiments, the deletion classification database may include multiple rule entries that are associated with the same trigger event and initial deletion classifier (e.g., rule entries that have same trigger event and initial deletion classifier but different additional information field values). In such cases, the media guidance application may select the most important rule entry among the multiple rule entries for updating deletion classifier. In some embodiments, querying the deletion classification database for the first rule entry may return multiple rule entries. For example, the media guidance application may query for rule entries that are associated with trigger event field value of “a user has consumed a portion of recorded media asset that is not an entirety of the recorded media asset” and initial deletion classifier field value of “O.K. to Delete.” The query result may include unique identifiers corresponding to rule A and rule D.

The media guidance application may, when determining the first rule entry, determine, based on comparing values corresponding to priority field associated with each rule entry of the multiple rule entries, a rule entry of the multiple rule entries that is associated with the highest priority level. For example, the media guidance application may compare priority field value associated with rule A (e.g., five) with priority field value associated with rule D (e.g., ten). The media guidance application may select the rule entry of the multiple rule entries that is associated with the highest priority level as the first rule entry. In this example, the media guidance application may select rule D as the first rule entry.

In some embodiments, the media guidance application may determine that, in order to apply the most important rule entry associated with a trigger event and an initial deletion classifier, criterion associated with the most important rule entry has to be fulfilled. The media guidance application may, upon determining that the criterion associated with the most important rule entry is not fulfilled, select the second most important rule entry that is also associated with the trigger event and the initial deletion classifier. In some embodiments, the rule entry of the multiple rule entries that is associated with the highest priority level may further include an additional information field. For example, rule D may include an additional information field. The media guidance application may retrieve a value associated with the additional information field. For example, the media guidance application may retrieve value of “user is not interested in the recorded media asset” corresponding to additional information field associated with rule D.

The media guidance application may determine, based on the value associated with the additional information field, relevant information required for determining whether a criterion defined by the value of the additional information field is fulfilled. For example, the media guidance application may determine, based on “user is not interested in the recorded media asset” that information that defines the user's interest in “Finding Nemo” is necessary to determine whether the user is interested in “Finding Nemo.” The media guidance application may access a data structure containing the relevant information to retrieve the relevant information. For example, the media guidance application may access a user profile data structure, associated with the user, to retrieve a value corresponding to an “interested in media asset” field corresponding to “Finding Nemo.” As an illustrative example, the media guidance application may retrieve a “null” value which indicates that there is no information that defines the user's interest in “Finding Nemo.”

The media guidance application may compare the value associated with the additional information field with the relevant information to determine whether the criterion defined by the value of the additional information field is fulfilled. For example, the media guidance application may compare the “null” value with “user is not interested in the recorded media asset” using an appropriate logic program script to determine whether “null” value corresponds to a user not being interested in a recorded media asset. The media guidance application may, in response to determining that the criterion defined by the value of the additional information field is not fulfilled, select rule entry of the multiple rule entries that is associated with next highest priority level as the first rule entry instead. For example, the media guidance application may determine that a “null” value provides no information defining the user's interest in “Finding Nemo” and accordingly, does not correspond to the user not being interested in “Finding Nemo.” In this case, the media guidance application may select rule A, which is associated with priority field value of five, as the first rule entry instead.

In some embodiments, the media guidance application may provide a user information regarding why a give recorded media asset identifier was classified into a specific deletion classifier. In some embodiments, the media guidance application may generate for simultaneous display an identifier corresponding to the recorded media asset, deletion classifier associated with the recorded media asset and a reason for classifying the recorded media asset into the deletion classifier associated with the recorded media asset. For example, subsequent to updating a deletion classifier associated with “Finding Nemo” from “O.K. to Delete” to “Do Not Delete,” in response to detecting that a user has watched ten minutes of “Finding Nemo,” the media guidance application may generate for simultaneous display an identifier for “Finding Nemo,” “Do Not Delete” classifier and a notification “You watched a portion that is not an entirety of Finding Nemo.”

In some embodiments, the media guidance application may provide a user an option to change a deletion classifier associated with a recorded media asset. Specifically, the media guidance application may generate for display a plurality of selectable deletion classifier options corresponding to the recorded media asset, where each selectable deletion classifier option of the plurality of selectable deletion classifier options corresponds to a deletion classifier of the plurality of deletion classifiers. As a matter of example, “Finding Nemo” may be associated with “Do Not Delete” deletion classifier. The media guidance application may generate for display, for “Finding Nemo.” selectable option “Move to ‘O.K. to Delete’” corresponding to “O.K. to Delete” deletion classifier and selectable option “Move to ‘Recommended to Delete’” corresponding to “Recommended to Delete” deletion classifier. The media guidance application may receive a user selection of a selectable deletion classifier option of the plurality of selectable deletion classifier options. For example, the media guidance application may receive a selection of selectable option “Move to ‘Recommended to Delete’” corresponding to “Finding Nemo.”

The media guidance application may access a data structure that contains information about mapping between the plurality of selectable deletion classifier options and the plurality of deletion classifiers to determine a deletion classifier corresponding to the selected selectable deletion classifier option. For example, the media guidance application may access a look-up table that defines relationship between selectable deletion classifier options and the plurality of deletion classifiers to determine which deletion classifier selectable option “Move to ‘Recommended to Delete’” corresponds to. The media guidance application may retrieve the deletion classifier corresponding to the selected selectable deletion classifier option. For example, the media guidance application may retrieve “Recommended to Delete” deletion classifier that corresponds to the selected option “Move to ‘Recommended to Delete’.” The media guidance application may update the recorded media asset properties data structure by substituting the second deletion classifier associated with the deletion classifier corresponding to the selected selectable deletion classifier option. For example, the media guidance application may update the recording properties data structure by substituting “Do Not Delete” deletion classifier associated with “Finding Nemo” with “Recommended to Delete.”

In some embodiments, the media guidance application may automatically delete recorded media assets associated with a specific deletion classifier after some predefined period of time has elapsed. Specifically, the media guidance application may select recorded media assets associated with a third deletion classifier of the plurality of deletion classifiers for automatic deletion after a pre-defined period of time has elapsed. For example, the media guidance application may select all recorded media assets (e.g., Beauty and the Beast, The Avengers and National Treasure) associated with the “Recommended to Delete” deletion classifier for automatic deletion after seventy two hours from a current time (e.g., December 4th, 12:00 A.M.) has elapsed. The media guidance application may store in memory a “deletion time” variable that corresponds to a date and time when the recorded media assets selected for automatic deletion should be automatically deleted. Following from the example above, the media guidance application may store a value that is a sum of seventy two hours and the current time (i.e., December 7th, 12:00 A.M.) in the “deletion time” variable.

The media guidance application may generate for display a recommendation to consume the recorded media assets associated with the third deletion classifier before the pre-defined period of time has elapsed. For example, the media guidance application may generate for display a notification such as “the listed media assets will be deleted on December 7th, 12:00 A.M. Watch the media assets before they are deleted.” The media guidance application may receive a data packet containing information that the pre-defined period of time has elapsed. For example, the media guidance application may receive a data packet containing a date and time stamp of a current date and time (e.g., December 7th, 12:00 A.M). The media guidance application may determine, based on comparing the date and time stamp of the current date and value of the “deletion time” variable, that seventy-two hours from December 4th, 12:00 A.M. has elapsed. The media guidance application may, in response to receiving the data packet containing information that the pre-defined period of time has elapsed, automatically delete the recorded media assets associated with the third deletion classifier. For example, the media guidance application may automatically delete recorded media assets Beauty and the Beast, The Avengers and National Treasure upon receiving data packet containing current date and time stamp of December 7th, 12:00 A.M.

It should be noted that the systems, methods, apparatuses, and/or aspects described above may be applied to, or used in accordance with, other systems, methods, apparatuses, and/or aspects described in this disclosure. It should also be noted, the systems and/or methods described above may be applied to, or used in accordance with, other systems and/or methods.

