Feedback loop content recommendation
Media content may be recommended based on feedback weightings. Input data describing the presentation of a media content items in association with content management accounts may be represented as data points. Each data point may identify feedback data for a media content item previously recommended for presentation in association with a content management account. The feedback data may identify a viewer reaction to the recommended media content item. A weighting factor based on the feedback data for the media content item presented in association with the content management account may be applied to produce a recommendation.
1. A method comprising:
identifying a first plurality of views for a content item initiated by a first plurality of user devices;
increasing a weighting factor score for the content item based on the number of views in the first plurality of views;
identifying a second plurality of views for the content item initiated by a second plurality of user devices;
in response to determining that a total numbers of views for the content item comprising the number of views in the first plurality of views and a number of views in the second plurality of views exceeds a viewing cap threshold:
capping the total number of views at the viewing cap threshold;
storing the weighting factor score for the content item in a database, wherein the weighting factor score is based on the capped total number of views; and
transmitting a content recommendation based on the stored weighting factor score for the content item.
2. The method of claim 1 , wherein the storing the weighting factor score for the content item comprises:
aggregating the weighting factor score for the content item to one or more value ranges in the database, wherein a value range of the one or more value ranges is associated with a mathematical transformation; and
applying the mathematical transformation associated with the value range to the weighting factor score for the content item.
3. The method of claim 2 , wherein the one or more value ranges are defined by one or more dimensions.
4. The method of claim 3 , wherein a dimension of the one or more dimensions comprises one of a:
time of the view, number of views in the value range, a percentage viewed, the geo-location of the view, or a type of content associated with the view.
5. The method of claim 2 , wherein the applying the mathematical transformation comprises imposing a maximum value or minimum value on the weighting factor score, and wherein the maximum value corresponds to the viewing cap threshold.
6. The method of claim 1 , wherein the content item is one of:
a video content, an image content, an audio content, a content genre, or a content channel.
7. A system comprising:
control circuitry configured to:
identify a first plurality of views for a content item initiated by a first plurality of user devices;
increase a weighting factor score for the content item based on the number of views in the first plurality of views;
identify a second plurality of views for the content item initiated by a second plurality of user devices;
in response to determining that a total numbers of views for the content item comprising the number of views in the first plurality of views and a number of views in the second plurality of views exceeds a viewing cap threshold:
cap the total number of views at the viewing cap threshold;
store the weighting factor score for the content item in a database, wherein the weighting factor score is based on the capped total number of views; and
input/output circuitry configured to:
transmit a content recommendation based on the stored weighting factor score for the content item.
8. The system of claim 7 , wherein the control circuitry is configured to store the weighting factor score for the content item by:
aggregating the weighting factor score for the content item to one or more value ranges in the database, wherein a value range of the one or more value ranges is associated with a mathematical transformation; and
applying the mathematical transformation associated with the value range to the weighting factor score for the content item.
9. The system of claim 8 , wherein the one or more value ranges are defined by one or more dimensions.
10. The system of claim 9 , wherein a dimension of the one or more dimensions comprises one of a:
time of the view, number of views in the value range, a percentage viewed, the geo-location of the view, or a type of content associated with the view.
11. The system of claim 8 , wherein the control circuitry is configured to apply the mathematical transformation by:
imposing a maximum value or minimum value on the weighting factor score, and wherein the maximum value corresponds to the viewing cap threshold.
12. The system of claim 7 , wherein the content item is one of:
a video content, an image content, an audio content, a content genre, or a content channel.
13. A non-transitory computer readable medium comprising:
instructions that when executed by control circuitry cause the control circuitry to:
identify a first plurality of views for a content item initiated by a first plurality of user devices;
increase a weighting factor score for the content item based on the number of views in the first plurality of views;
identify a second plurality of views for the content item initiated by a second plurality of user devices;
in response to determining that a total numbers of views for the content item comprising the number of views in the first plurality of views and a number of views in the second plurality of views exceeds a viewing cap threshold:
cap the total number of views at the viewing cap threshold;
store the weighting factor score for the content item in a database, wherein the weighting factor score is based on the capped total number of views; and
instructions that when executed by the control circuitry cause input/output circuitry to:
transmit a content recommendation based on the stored weighting factor score for the content item.
14. The non-transitory computer readable medium of claim 13 , wherein the instructions that cause the control circuitry to store the weighting factor score for the content item cause the control circuitry to:
aggregate the weighting factor score for the content item to one or more value ranges in the database, wherein a value range of the one or more value ranges is associated with a mathematical transformation; and
apply the mathematical transformation associated with the value range to the weighting factor score for the content item.
15. The non-transitory computer readable medium of claim 14 , wherein the one or more value ranges are defined by one or more dimensions.
16. The non-transitory computer readable medium of claim 15 , wherein a dimension of the one or more dimensions comprises one of a:
time of the view, number of views in the value range, a percentage viewed, the geo-location of the view, or a type of content associated with the view.
17. The non-transitory computer readable medium of claim 14 , wherein the instructions that cause the control circuitry to apply the mathematical transformation cause the control circuitry to:
impose a maximum value or minimum value on the weighting factor score, and wherein the maximum value corresponds to the viewing cap threshold.
18. The non-transitory computer readable medium of claim 13 , wherein the content item is one of:
a video content, an image content, an audio content, a content genre, or a content channel.