Predictive publishing of internet digital content
First Claim
1. A computer-implemented method system comprising:
- at least one digital processor and a memory coupled to the processor, the memory storing instructions executable in the processor, wherein the instructions are configured to cause the processor, in operation, to carry out the steps of accessing a list of individual subscribers to an Internet digital content feed service, the listed subscribers together defining a subscriber audience, and each subscriber on the list having an associated subscriber user profile;
selecting an article to publish to the subscriber audience based on the subscriber profiles;
publishing the selected article to the subscriber audience via the Internet digital content feed service;
maintaining an author profile for at least one author, including an author of the selected article;
analyzing the selected article to generate corresponding article information, the article information including a plurality of attributes, wherein the attributes include a category and a hardness metric;
storing the article information in a data store in association with an identifier of a corresponding the author of the selected article and an identifier of the selected article;
trackingmonitoring individual subscriber actions associated with the selected article in a software reader application that executes on a subscriber'"'"'s client device, to form attention data, wherein tracking includes determining whether a status identifier associated with the selected article indicates that the article is unreadwherein the attention data formed by the reader application comprises indicia of the corresponding subscriber'"'"'s interactions with the selected article in one or more of the following ways, namely, reading the article, flagging the article, tagging the article, emailing the article, clicking through a link in the article, or deleting the article;
analyzing the attention data to form an indication of each of the one or more individual subscribers'"'"' response responses to the selected article;
wherein analyzing the attention data includes computing a response variable value as a ratio of a number of positive interactions over a total number of interactions with the selected article over all of the subscriber audience;
storing the indicia of response variable for each of the one or more individual subscribers'"'"' responses to the selected article;
andusing the stored article information together with the corresponding indicia of attention data, to predict a response of the one or more of the individual subscribers of the subscriber audience to a new, an unpublished article as followsproviding a software based feed-forward back-propagation neural network;
inputting to the neural network, for each of the said plurality of attributes, an average of the user response variable values as determined by analyzing the corresponding attention data over plural articles previously published to the subscriber audience; and
training the neural network using the attention data for all of the subscriber audience over all the articles published by the author, so that the neural network generates an overall predicted response value for the unpublished article for the author.
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Accused Products
Abstract
A rich set of data can be acquired by suitable technology, integrated with RSS reader implementations, to better understand the web feed consuming audience. That data can be applied to help publishers better understand their readership. This disclosure is directed to capturing user data, generating predictions on how an article would be received by the readership (preferably before it is published), and automatically creating recommendations for use by an author or web publisher on how the article might be edited or “fine tuned” to achieve greater impact. In one embodiment, we build a profile for each author/publisher over her entire set of published articles. When a new article is written, it is matched against this author profile and recommendations are made.
34 Citations
28 Claims
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1. A computer-implemented method system comprising:
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at least one digital processor and a memory coupled to the processor, the memory storing instructions executable in the processor, wherein the instructions are configured to cause the processor, in operation, to carry out the steps of accessing a list of individual subscribers to an Internet digital content feed service, the listed subscribers together defining a subscriber audience, and each subscriber on the list having an associated subscriber user profile; selecting an article to publish to the subscriber audience based on the subscriber profiles; publishing the selected article to the subscriber audience via the Internet digital content feed service; maintaining an author profile for at least one author, including an author of the selected article; analyzing the selected article to generate corresponding article information, the article information including a plurality of attributes, wherein the attributes include a category and a hardness metric; storing the article information in a data store in association with an identifier of a corresponding the author of the selected article and an identifier of the selected article; trackingmonitoring individual subscriber actions associated with the selected article in a software reader application that executes on a subscriber'"'"'s client device, to form attention data, wherein tracking includes determining whether a status identifier associated with the selected article indicates that the article is unreadwherein the attention data formed by the reader application comprises indicia of the corresponding subscriber'"'"'s interactions with the selected article in one or more of the following ways, namely, reading the article, flagging the article, tagging the article, emailing the article, clicking through a link in the article, or deleting the article; analyzing the attention data to form an indication of each of the one or more individual subscribers'"'"' response responses to the selected article;
wherein analyzing the attention data includes computing a response variable value as a ratio of a number of positive interactions over a total number of interactions with the selected article over all of the subscriber audience;storing the indicia of response variable for each of the one or more individual subscribers'"'"' responses to the selected article;
andusing the stored article information together with the corresponding indicia of attention data, to predict a response of the one or more of the individual subscribers of the subscriber audience to a new, an unpublished article as follows providing a software based feed-forward back-propagation neural network; inputting to the neural network, for each of the said plurality of attributes, an average of the user response variable values as determined by analyzing the corresponding attention data over plural articles previously published to the subscriber audience; and training the neural network using the attention data for all of the subscriber audience over all the articles published by the author, so that the neural network generates an overall predicted response value for the unpublished article for the author. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A computer-implemented method of characterizing an audience of subscribers to a digital content feed service to support selection or editing of preflight articles, the method comprising:
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selecting a plurality of articles to publish to the audience of subscribers based on one or more subscriber profiles; publishing the plurality of articles to the subscriber audience via the feed service; analyzing each of the published articles to generate article information; storing the generated article information for each published article in a data store in association with an identifier of a corresponding author; tracking individual subscriber actions associated with each of the published articles to acquire attention data, wherein tracking includes identifying if an individual subscriber leaves one or more of the published articles “
unread”
;analyzing the acquired attention data to form an indication of each subscriber'"'"'s response to each of the published articles; storing the indicia of each subscriber'"'"'s response to support correlation of subscriber attention to the stored article information; and building profiles based on the stored article information and the attention analyzer. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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26. A computer program product for characterizing an audience of subscribers to a digital content feed service, the computer program product comprising a computer-readable, non-volatile storage medium containing computer program code including code arranged for:
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characterizing a subscriber audience comprising one or more subscribers to the content feed to generate one or more subscriber profiles; selecting a plurality of articles to publish to the subscriber audience based on the one or more subscriber profiles; publishing the plurality of articles to the subscriber audience via the content feed; analyzing each of the published articles to generate article information; storing the generated article information for each published article in a data store in association with an identifier of a corresponding author; acquiring from remote user reader programs individual subscriber attention data based on action or inaction, or combinations thereof associated with each of the published articles, wherein the action or inaction includes associating a status identifier with at least one of the published articles indicating that the published article is unread; analyzing the acquired attention data to form an indication of each subscriber'"'"'s response to each of the published articles; and building a subscriber profile based on the stored article information and the corresponding indication of the subscriber'"'"'s responses to the published articles. - View Dependent Claims (27, 28)
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Specification