Automatic scheduling of content delivery

Abstract

A content delivery system coupled to a computer network can provide large volumes of content to large numbers of recipients. The content is collected into digests and individual articles to be sent in email via an email channel established by the content delivery system to the recipients through the computer network. Content producers submit content for aggregation into various email deliveries and submit initial scheduling information. The scheduling information may specify target characteristics of preferred recipients of the content as well as general and initial scheduling preferences for email delivery. The content delivery system utilizes the initial scheduling information as a starting point for scheduling email deliveries. The system measures levels of content interaction by the recipients to gauge corresponding interest levels in the content. Using recipient interest levels as feedback, the content delivery system is able to modify and extend scheduling details to optimally schedule further deliveries of content.

1 . (canceled) 
     
     
         2 . A computer-implemented method comprising:
 receiving at least one content interaction indicator from a recipient device, each content interaction indicator respectively indicating an amount of content interaction at the recipient device and an interaction timeframe;   calculating a recipient interest level according to the amount of content interaction occurring in the interaction timeframe; and   calculating, via at least one processor, a delivery schedule based on the recipient interest level, the delivery schedule adjusting a delivery frequency of content based on the recipient interest level being different than a previous recipient interest level.   
     
     
         3 . The computer-implemented method of  claim 2 , wherein calculating the delivery schedule based on the recipient interest level comprises:
 identifying at least one type of content to be delivered during the delivery schedule based on a device type of the recipient device.   
     
     
         4 . The computer-implemented method of  claim 3 , wherein identifying at least one type of content to be delivered during the delivery schedule based on a device type of the recipient device comprises:
 determining the recipient device is a tablet type device; and   identifying at least one article comprising content formatted for consumption on the tablet type device.   
     
     
         5 . The computer-implemented method of  claim 3 , wherein identifying at least one type of content to be delivered during the delivery schedule based on a device type of the recipient device comprises:
 determining the recipient device is a mobile type device including a geolocation service;   determining a current location of the recipient device provided by the geolocation service; and   identifying content formatted for consumption on the mobile type device.   
     
     
         6 . The computer-implemented method of  claim 5 , wherein identifying content formatted for consumption on the mobile type device comprises:
 identifying at least one notification comprising content formatted for consumption on the mobile type device, the at least one notification corresponding to the current location of the recipient device.   
     
     
         7 . The computer-implemented method of  claim 5 , wherein identifying content formatted for consumption on the mobile type device comprises:
 identifying at least one article comprising content formatted for consumption on the mobile type device, the at least one article corresponding to the current location of the recipient device.   
     
     
         8 . The computer-implemented method of  claim 2 , wherein receiving at least one content interaction indicator from a recipient device, each content interaction indicator respectively indicating an amount of content interaction at the recipient device and an interaction timeframe, comprising:
 receiving a first content interaction indicator indicating first content interaction at the recipient device with a first type of content during the interaction timeframe; and   receiving a second content interaction indicator indicating second content interaction at the recipient device with a second type of content during the interaction timeframe.   
     
     
         9 . The computer-implemented method of  claim 8 , wherein calculating a recipient interest level according to the amount of content interaction occurring in the interaction timeframe comprises:
 identifying first content interaction history for the first type of content;   comparing the first content interaction indicator to the first content interaction history;   determining a first recipient interest level for the first type of content based on a comparison between the first content interaction indicator to the first content interaction history;   identifying second content interaction history for the second type of content;   comparing the second content interaction indicator to the second content interaction history; and   determining a second recipient interest level for the second type of content based on a comparison between the second content interaction indicator to the second content interaction history.   
     
     
         10 . The computer-implemented method of  claim 9 , wherein calculating a delivery schedule based on the recipient interest level, the delivery schedule adjusting a delivery frequency of content based on the recipient interest level being different than a previous recipient interest level, comprises:
 determining the first recipient interest level represents a diminished rate of consumption of the first type of content; and   due to the diminished rate of consumption of the first type of content; determining an adjusted amount of the first type of content to be delivered to recipient device during the delivery schedule.   
     
     
         11 . A non-transitory machine-readable storage medium including instructions, that when implemented by at least one processor, perform operations comprising:
 receiving at least one content interaction indicator from a recipient device, each content interaction indicator respectively indicating an amount of content interaction at the recipient device and an interaction timeframe;   calculating a recipient interest level according to the amount of content interaction occurring in the interaction timeframe; and   calculating a delivery schedule based on the recipient interest level, the delivery schedule adjusting a delivery frequency of content based on the recipient interest level being different than a previous recipient interest level.   
     
     
         12 . The non-transitory machine-readable storage medium of  claim 11 , wherein calculating the delivery schedule based on the recipient interest level comprises:
 identifying at least one type of content to be delivered during the delivery schedule based on a device type of the recipient device.   
     
     
         13 . The non-transitory machine-readable storage medium of  claim 12 , wherein identifying at least one type of content to be delivered during the delivery schedule based on a device type of the recipient device comprises:
 determining the recipient device is a tablet type device; and   identifying at least one article comprising content formatted for consumption on the tablet type device.   
     
     
         14 . The non-transitory machine-readable storage medium of  claim 12 , wherein identifying at least one type of content to be delivered during the delivery schedule based on a device type of the recipient device comprises:
 determining the recipient device is a mobile type device including a geolocation service;   determining a current location of the recipient device provided by the geolocation service; and   identifying content formatted for consumption on the mobile type device.   
     
     
         15 . The non-transitory machine-readable storage medium of  claim 14 , wherein identifying content formatted for consumption on the mobile type device comprises:
 identifying at least one notification comprising content formatted for consumption on the mobile type device, the at least one notification corresponding to the current location of the recipient device.   
     
     
         16 . The non-transitory machine-readable storage medium of  claim 14 , wherein identifying content formatted for consumption on the mobile type device comprises:
 identifying at least one article comprising content formatted for consumption on the mobile type device, the at least one article corresponding to the current location of the recipient device.   
     
     
         17 . The non-transitory machine-readable storage medium of  claim 11 , wherein receiving at least one content interaction indicator from a recipient device, each content interaction indicator respectively indicating an amount of content interaction at the recipient device and an interaction timeframe, comprising:
 receiving a first content interaction indicator indicating first content interaction at the recipient device with a first type of content during the interaction timeframe; and   receiving a second content interaction indicator indicating second content interaction at the recipient device with a second type of content during the interaction timeframe.   
     
     
         18 . The non-transitory machine-readable storage medium of  claim 17 , wherein calculating a recipient interest level according to the amount of content interaction occurring in the interaction timeframe comprises:
 identifying first content interaction history for the first type of content;   comparing the first content interaction indicator to the first content interaction history;   determining a first recipient interest level for the first type of content based on a comparison between the first content interaction indicator to the first content interaction history;   identifying second content interaction history for the second type of content;   comparing the second content interaction indicator to the second content interaction history; and   determining a second recipient interest level for the second type of content based on a comparison between the second content interaction indicator to the second content interaction history.   
     
     
         19 . The non-transitory machine-readable storage medium of  claim 18 , wherein calculating a delivery schedule based on the recipient interest level, the delivery schedule adjusting a delivery frequency of content based on the recipient interest level being different than a previous recipient interest level, comprises:
 determining the first recipient interest level represents a diminished rate of consumption of the first type of content; and   due to the diminished rate of consumption of the first type of content; determining an adjusted amount of the first type of content to be delivered to recipient device during the delivery schedule.   
     
     
         20 . A computer system comprising:
 a processor;   a memory device holding an instruction set executable on the processor to cause the computer system to perform operations comprising:   receiving at least one content interaction indicator from a recipient device, each content interaction indicator respectively indicating an amount of content interaction at the recipient device and an interaction timeframe;   calculating a recipient interest level according to the amount of content interaction occurring in the interaction timeframe; and   calculating a delivery schedule based on the recipient interest level, the delivery schedule adjusting a delivery frequency of content based on the recipient interest level being different than a previous recipient interest level.   
     
     
         21 . The computer system of  claim 20 , wherein calculating the delivery schedule based on the recipient interest level comprises:
 identifying at least one type of content to be delivered during the delivery schedule based on a device type of the recipient device.