Methods and systems for predicting content consumption
Methods and systems for content optimization are described. A computing device may determine a predictability score that indicates a probability that a device will access a first content item. The computing device may send a second content item associated with the first content item. The second content item may be based on the predictability score, and the predictability score may be modified. Additional content consumption and/or recommendations may be adjusted based on the predictability score.
1. A method, comprising:
determining one or more characteristics associated with one or more content items accessed via a device;
determining, based on the one or more characteristics, a predictability score associated with a first content item;
sending, based on the predictability score, a second content item associated with the first content item; and
modifying, based on the device accessing the first content item, the predictability score.
2. The method of claim 1 , wherein the predictability score indicates a probability that the device will access the first content item and wherein the predictability score is determined using a trained machine learning model, and wherein the predictability score is modified to indicate a higher probability that the device will access the first content item.
3. The method of claim 1 , further modifying the predictability score comprises determining a period of time between sending the second content item and accessing the first content item.
4. The method of claim 1 , wherein the second content item comprises an advertisement for the first content item, and wherein the one or more characteristics indicate at least one of a genre, a title, a subject, one or more actors, one or more directors, a release date, or a viewing date.
5. The method of claim 1 , further comprising:
determining, based on the modified predictability score, a third content item associated with a fourth content item, wherein the third content item comprises an advertisement for the fourth content item, and
sending the third content item associated with the fourth content item.
6. The method of claim 1 , further comprising:
determining, based on viewing data associated with the device, one or more characteristics associated with the device; and
determining, based on one or more characteristics associated with the first content item and based on the one or more characteristics associated with the device, a predictability score for the device, wherein the predictability score indicates a probability that the device will access the first content item.
7. The method of claim 6 , further comprising:
determining an available content segment associated with the first content item;
determining, based on the a predictability score, an appraisal score associated with the available content segment; and
modifying, based on the appraisal score satisfying an appraisal score threshold, the available content segment to indicate the second content item associated with the first content item.
8. A method, comprising:
determining one or more characteristics associated with a first content item;
determining one or more characteristics associated with one or more devices;
determining, based on the one or more characteristics associated with the first content item and the one or more characteristics associated with the one or more devices, a predictability score for each device of the one or more devices;
based on at least one predictability score satisfying a threshold, sending a second content item associated with the first content item to a device of the one or more devices; and
modifying, based on device accessing the first content item, the predictability score.
9. The method of claim 8 , wherein the predictability score indicates a probability that the device will access the first content item and wherein the predictability score is determined using a trained machine learning model, and wherein the predictability score is modified to indicate a higher probability that the device will access the first content item.
10. The method of claim 8 , further comprising determining a period of time that the device accessed the first content item.
11. The method of claim 8 , wherein the second content item comprises an advertisement for the first content item, and wherein the one or more characteristics associated with the first content item indicate at least one of a genre, a title, a subject, one or more actors, one or more directors, a release date, or a viewing date.
12. The method of claim 8 , further comprising:
determining, based on the modified predictability score, a third content item associated with a fourth content item, wherein the third content item comprises an advertisement for the fourth content item, and
sending the third content item associated with the fourth content item.
13. The method of claim 8 , further comprising determining, based on one or more content items accessed by each of the one or more devices, a viewing history.
14. The method of claim 8 , further comprising:
determining an available content segment associated with the first content item;
determining, based on the predictability score for each device of the one or more devices, an appraisal score associated with the available content segment; and
modifying, based on the appraisal score satisfying an appraisal score threshold, the available content segment to indicate the second content item associated with the first content item.
15. A method, comprising:
determining one or more characteristics associated with one or more devices;
determining an available content segment associated with a first content item;
determining, based on one or more characteristics associated with the first content item and based on the one or more characteristics associated with each of the one or more devices, one or more predictability scores associated with the one or more devices, wherein the each predictability score of the one or more predictability scores indicates a probability that each device of the one or more devices will access a second content item;
determining, based on the one or more predictability scores for the one or more devices, an appraisal score associated with the available content segment; and
modifying, based on the appraisal score satisfying a threshold, the available content segment to indicate a third content item associated with the second content item.
16. The method of claim 15 , wherein the each predictability score indicates a probability that a device will access the first content item and wherein each predictability score is determined using a trained machine learning model, and wherein each predictability score is modified to indicate a higher probability that the device will access the first content item.
17. The method of claim 15 , further comprising sending, to a device of the one or more devices, the third content item associated with the second content item, wherein the appraisal score indicates an appraised value of the available content segment.
18. The method of claim 17 , further comprising determining that the device of the one or more devices accessed the second content item, wherein a predictability score is modified to indicate a higher probability that the device will access the second content item.
19. The method of claim 15 , wherein modifying the available content segment to indicate the third content item comprises inserting an advertisement into the available content segment or inserting a placement signal into the available content segment, wherein the one or more characteristics associated with the first content item indicate at least one of a genre, a title, a subject, one or more actors, one or more directors, a release date, or a viewing date.
20. The method of claim 15 , further comprising determining, based on one or more content items accessed by each of the one or more devices, a viewing history.