Selecting content formats for additional content to be presented along with video content to a user based on predicted likelihood of abandonment
First Claim
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1. A computer-implemented method comprising:
- receiving, at one or more processors of a computing server from a client device, a request for advertising content to present to the client device during playback of video content;
identifying, by the one or more processors, a first candidate content item format type and a second candidate content item format type, the first candidate content item format type and the second candidate content item format type selected from a group consisting of pre-video, post-video, in stream, overlay, and banner advertising format types;
identifying, by the one or more processors, a user disposition for a current video viewing session based on historical data of previous advertising content presented to the client device, the current video viewing session comprising the playback of the video content and presentation of the advertising content;
predicting, by the one or more processors, for the first candidate content item format type based on the user disposition, a first likelihood that a user of the client device will abandon the current video viewing session prior to completion of the current video viewing session in response to presentation of advertising content of the first candidate content item format type;
predicting, by the one or more processors, for the second candidate content item format type based on the user disposition, a second likelihood that the user of the client device will abandon the current video viewing session prior to completion of the current video viewing session in response to presentation of advertising content of the second candidate content item format type;
determining, by the one or more processors, that the first likelihood is less than the second likelihood;
selecting, by the one or more processors based on the determination, the first candidate advertising format type for presentation of a content item to the client device; and
presenting, by the one or more processors, the content item to the client device in accordance with the first candidate advertising format type.
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Abstract
Methods, systems, and computer program products are provided for selecting content formats based on predicted user interest. One example method includes receiving a request to present additional content to a user in association with the user viewing a video content item during a session, identifying one or more candidate content formats, predicting a likelihood that the user will abandon the session for each candidate content format, selecting a format based at least in part on the predicting, determining when to present the additional content to the user, and presenting the additional content in accordance with the selected format.
31 Citations
20 Claims
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1. A computer-implemented method comprising:
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receiving, at one or more processors of a computing server from a client device, a request for advertising content to present to the client device during playback of video content; identifying, by the one or more processors, a first candidate content item format type and a second candidate content item format type, the first candidate content item format type and the second candidate content item format type selected from a group consisting of pre-video, post-video, in stream, overlay, and banner advertising format types; identifying, by the one or more processors, a user disposition for a current video viewing session based on historical data of previous advertising content presented to the client device, the current video viewing session comprising the playback of the video content and presentation of the advertising content; predicting, by the one or more processors, for the first candidate content item format type based on the user disposition, a first likelihood that a user of the client device will abandon the current video viewing session prior to completion of the current video viewing session in response to presentation of advertising content of the first candidate content item format type; predicting, by the one or more processors, for the second candidate content item format type based on the user disposition, a second likelihood that the user of the client device will abandon the current video viewing session prior to completion of the current video viewing session in response to presentation of advertising content of the second candidate content item format type; determining, by the one or more processors, that the first likelihood is less than the second likelihood; selecting, by the one or more processors based on the determination, the first candidate advertising format type for presentation of a content item to the client device; and presenting, by the one or more processors, the content item to the client device in accordance with the first candidate advertising format type. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer-implemented method comprising:
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identifying, by one or more processors of a computing server, a first candidate content item format type and a second candidate content item format type for advertising content to be presented to a client device during playback of video content, the first candidate content item format type and the second candidate content item format type selected from a group consisting of pre-video, post-video, in stream, overlay, and banner advertising format types; identifying, by the one or more processors, a user disposition for a current video viewing session based on historical data of previous advertising content presented to the client device, the current video session comprising the playback of the video content and presentation of the advertising content; predicting, by the one or more processors, for the first candidate content item format type based on the user disposition, a first likelihood that a user of the client device will abandon the current video viewing session prior to completion of the current video viewing session in response to presentation of the advertising content of the first candidate content item format type; predicting, by the one or more processors, for the second candidate content item format type based on the user disposition, a second likelihood that the user of the client device will abandon the current video viewing session prior to completion of the current video viewing session in response to presentation of the advertising content of the second candidate content item format type; determining, by the one or more processors, that the first likelihood is below a predetermined threshold; determining, by the one or more processors, that the second likelihood is above the predetermined threshold; and presenting, by the one or more processors in response to the determination that the first likelihood is below the predetermined threshold and the second likelihood is above the predetermined threshold, a content item to the client device in accordance with the first candidate advertising format type. - View Dependent Claims (9)
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10. A non-transitory computer storage medium encoded with a computer program, the computer program comprising instructions that when executed by one or more processors of a computer server cause the one or more processors to perform operations comprising:
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receiving, at the one or more processors from a client device, a request for advertising content to present to the client device during playback of video content; identifying, by the one or more processors, a first candidate content item format type and a second candidate content item format type, the first candidate content item format type and the second candidate content item format type selected from a group consisting of pre-video, post-video, in stream, overlay, and banner advertising format types; identifying, by the one or more processors, a user disposition for a current video viewing session based on historical data of previous advertising content presented to the client device, the current video viewing session comprising the playback of the video content and presentation of the advertising content; predicting, by the one or more processors, for the first candidate content item format type based on the user disposition, a first likelihood that a user of the client device will abandon the current video viewing session prior to completion of the current video viewing session in response to presentation of advertising content of the first candidate content item format type; predicting, by the one or more processors, for the second candidate content item format type based on the user disposition, a second likelihood that the user of the client device will abandon the current video viewing session prior to completion of the current video viewing session in response to presentation of advertising content of the second candidate content item format type; determining, by the one or more processors, that the first likelihood is less than the second likelihood; selecting, by the one or more processors based on the determination, the first candidate advertising format type for presentation of a content item to the client device; and presenting, by the one or more processors, the content item to the client device in accordance with the first candidate advertising format type.
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11. A system comprising:
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a device, comprising a network interface in communication with a client device, and a processor executing a session manager, a user disposition identifier, a user behavior predictor, an advertising format type selector, and a content presentation system, wherein the session manager is configured to; receive, from the client device via the network interface, a request for advertising content to present to the client device during playback of video content, and identify a first candidate content item format type and a second candidate content item format type, the first candidate content item format type and the second candidate content item format type selected from a group consisting of pre-video, post-video, in stream, overlay, and banner advertising format types; wherein the user disposition identifier is configured to identify a user disposition for a current video viewing session based on historical data of previous advertising content presented to the client device, the current video viewing session comprising the playback of the video content and presentation of the advertising content; wherein the user behavior predictor is configured to; predict, for the first candidate content item format type based on the user disposition, a first likelihood that a user of the client device will abandon the current video viewing session prior to completion of the current video viewing session in response to presentation of advertising content of the first candidate content item format type; predict, for the second candidate content item format type based on the user disposition, a second likelihood that the user of the client device will abandon the current video viewing session prior to completion of the current video viewing session in response to presentation of advertising content of the second candidate content item format type; wherein the advertising format type selector is configured to select, based on a determination that the first likelihood is less than the second likelihood, the first candidate advertising format type for presentation of a content item to the client device; and wherein the content presentation system is configured to present, via the network interface the content item to the client device in accordance with the first candidate advertising format type. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. A system comprising:
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a device, comprising a network interface in communication with a client device, and a processor executing a session manager, a user disposition identifier, a user behavior predictor, an advertising format type selector, and a content presentation system, wherein the session manager is configured to identify a first candidate content item format type and a second candidate content item format type for advertising content to be presented, via the network interface, to the client device during playback of video content, the first candidate content item format type and the second candidate content item format type selected from a group consisting of pre-video, post-video, in stream, overlay, and banner advertising format types; wherein the user disposition identifier is configured to identify a user disposition for a current video viewing session based on historical data of previous advertising content presented to the client device, the current video session comprising the playback of the video content and presentation of the advertising content; wherein the user behavior predictor is configured to; predict, for the first candidate content item format type based on the user disposition, a first likelihood that a user of the client device will abandon the current video viewing session prior to completion of the current video viewing session in response to presentation of the advertising content of the first candidate content item format type, predict, for a second candidate content item format type based on the user disposition, a second likelihood that the user of the client device will abandon the current video viewing session prior to completion of the current video viewing session in response to presentation of the advertising content of the second candidate content item format type, determine that the first likelihood is below a predetermined threshold; determine that the second likelihood is above the predetermined threshold; and wherein the content presentation system is configured to present, in response to the determination that the first likelihood is below the predetermined threshold and the second likelihood is above the predetermined threshold, a content item to the client device, via the network interface, in accordance with the first candidate advertising format type. - View Dependent Claims (20)
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Specification