US2017083533A1PendingUtilityA1

Targeted Message Response

Assignee: IBMPriority: Jul 18, 2013Filed: Nov 30, 2016Published: Mar 23, 2017
Est. expiryJul 18, 2033(~7 yrs left)· nominal 20-yr term from priority
H04L 51/00G06F 16/3346G06F 16/22H04L 69/16H04L 51/063G06F 17/30312G06F 17/30687H04L 51/32H04L 51/12G06F 17/3097G06F 16/90324H04L 51/52H04L 51/212
53
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Claims

Abstract

A tool for targeting a message response. The tool monitors recipient activity related to one or more social networks. The tool gathers recipient interest data from the one or more social networks. The tool stores the one or more elements within a database associated with the recipient. The tool calculates a recipient interest rating for each of the one or more elements. The tool compares the one or more elements within a database associated with the recipient to a subject line and message content of the electronic message. The tool suggests one or more alternative subject lines incorporating at least one of the one or more elements stored within the database associated with the recipient.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method for targeting a message response, the method comprising:
 monitoring, by one or more computer processors, recipient activity related to one or more social networks;   gathering, by one or more computer processors, recipient interest data from the one or more social networks, wherein gathering includes collecting one or more elements that interest a recipient as evidenced by one or more positive indicators of interest associated with the one or more elements;   storing, by one or more computer processors, the one or more elements within a database associated with the recipient;   calculating, by one or more computer processors, a recipient interest rating for each of the one or more elements, wherein the recipient interest rating is based, at least in part, on the recipient activity;   in response to a sender drafting an electronic message addressed to the recipient, comparing, by one or more computer processors, the one or more elements within a database associated with the recipient to a subject line and message content of the electronic message; and   suggesting, by one or more computer processors, one or more alternative subject lines incorporating at least one of the one or more elements stored within the database associated with the recipient, wherein suggesting the one or more alternative subject lines includes utilizing a predictive analytics system to determine a relative percentage increase in likelihood that the recipient will respond based on the one or more alternative subject lines.   
     
     
         2 . The method of  claim 1 , wherein monitoring recipient activity related to one or more social networks, further comprises at least one of:
 determining, by one or more computer processors, an order in which the recipient accesses the one or more social networks;   determining, by one or more computer processors, a length of time spent on each of the one or more social networks when accessed;   determining, by one or more computer processors, a type of action taken on each of the one or more social networks;   determining, by one or more computer processors, a frequency of words used in the one or more social networks;   determining, by one or more computer processors, one or more affiliations of the recipient within the one or more social networks;   determining, by one or more computer processors, one or more prominent words used in the one or more social networks; and   determining, by one or more computer processors, a format of words used in the one or more social networks.   
     
     
         3 . The method of  claim 1 , wherein gathering recipient interest data, further comprises:
 extracting, by one or more computer processors, recipient interest data from one or more social networks.   
     
     
         4 . The method of  claim 1 , wherein calculating the recipient interest rating for the one or more elements, further comprises:
 assigning, by one or more computer processors, the one or more elements a weight based on at least one of:   one or more actions taken on the one or more social networks;   a time spent on the one or more social networks by the recipient;   one or more relationships between a plurality of variables accessed by the recipient; and   a plurality of data items that occur together in a sequence.   
     
     
         5 . The method of  claim 4 , wherein assigning the one or more elements a weight, further comprises:
 assigning, by one or more computer processors, a positive point value for indicators suggesting high user interest, and a negative point value for indicators suggesting low user interest.   
     
     
         6 . The method of  claim 1 , wherein comparing the one or more elements within a database associated with the recipient to a subject line and message content of the electronic message, further comprises at least one of:
 searching, by one or more computer processors, for synonyms, of one or more words within the subject line and message content, within the stored rated elements;   searching, by one or more computer processors, for one or more stored rated elements identical to one or more words within the subject line and message content;   searching, by one or more computer processors, for rated keywords, based on weight, within the stored rated elements; and   searching, by one or more computer processors, for one or more stored rated elements equivalent to one or more words within the subject line and message content.   
     
     
         7 . The method of  claim 1 , wherein suggesting one or more alternative subject lines, further comprises at least one of:
 creating, by one or more computer processors, an alternative subject line from one or more rated elements with the highest weight;   creating, by one or more computer processors, an alternative subject line from one or more rated elements determined to be synonyms of one or more words within the subject line and message content of the electronic message;   creating, by one or more computer processors, an alternative subject line from one or more rated elements determined to be equivalent to one or more words within the subject line and message content of the electronic message; and   creating, by one or more computer processors, an alternative subject line from one or more combinations of rated elements.   
     
     
         8 . The method of  claim 7 , wherein creating an alternative subject line from one or more rated elements, further comprises:
 creating, by one or more computer processors, a second alternative subject line, subsequent to creating the alternative subject line, which is proffered to the user to replace the subject line of the electronic message.   
     
     
         9 . The method of  claim 1 , wherein suggesting one or more alternative subject lines, further comprises:
 advising, by one or more computer processors, the sender of the relative percentage increase in likelihood that the recipient will respond to the electronic message based on the one or more alternative subject lines.   
     
     
         10 . A computer program product for targeting a message response, the computer program product comprising:
 one or more computer-readable storage media and program instructions stored on the one or more computer-readable storage media, the program instructions comprising:   program instructions to monitor recipient activity related to one or more social networks;   program instructions to gather recipient interest data from the one or more social networks, wherein gathering includes collecting one or more elements that interest a recipient as evidenced by one or more positive indicators of interest associated with the one or more elements;   program instructions to store the one or more elements within a database associated with the recipient;   program instructions to calculate a recipient interest rating for each of the one or more elements, wherein the recipient interest rating is based, at least in part, on the recipient activity;   in response to a sender drafting an electronic message addressed to the recipient, program instructions to compare the one or more elements within a database associated with the recipient to a subject line and message content of the electronic message; and   program instructions to suggest one or more alternative subject lines incorporating at least one of the one or more elements stored within the database associated with the recipient, wherein suggesting the one or more alternative subject lines includes utilizing a predictive analytics system to determine a relative percentage increase in likelihood that the recipient will respond based on the one or more alternative subject lines.   
     
     
         11 . The computer program product of  claim 10 , wherein the program instructions to monitor recipient activity related to one or more social networks, further comprises at least one of:
 program instructions to determine an order in which the recipient accesses the one or more social networks;   program instructions to determine a length of time spent on each of the one or more social networks when accessed;   program instructions to determine a type of action taken on each of the one or more social networks;   program instructions to determine a frequency of words used in the one or more social networks;   program instructions to determine one or more affiliations of the recipient within the one or more social networks;   program instructions to determine one or more prominent words used in the one or more social networks; and   program instructions to determine a format of words used in the one or more social networks.   
     
     
         12 . The computer program product of  claim 10 , wherein the program instructions to gather recipient interest data, further comprises:
 program instructions to extract recipient interest data from one or more social networks.   
     
     
         13 . The computer program product of  claim 10 , wherein the program instructions to calculate the recipient interest rating for the one or more elements, further comprises:
 program instructions to assign the one or more elements a weight based on at least one of:   one or more actions taken on the one or more social networks;   a time spent on the one or more social networks by the recipient;   one or more relationships between a plurality of variables accessed by the recipient; and   a plurality of data items that occur together in a sequence.   
     
     
         14 . The computer program product of  claim 13 , wherein the program instructions to assign the one or more elements a weight, further comprises:
 program instructions to assign a positive point value for indicators suggesting high user interest, and a negative point value for indicators suggesting low user interest.   
     
     
         15 . A computer system for targeting a message response, the system comprising:
 one or more computer processors;   one or more computer-readable storage media;   program instructions stored on at least one of the one or more computer-readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising:   program instructions to monitor recipient activity related to one or more social networks;   program instructions to gather recipient interest data from the one or more social networks, wherein gathering includes collecting one or more elements that interest a recipient as evidenced by one or more positive indicators of interest associated with the one or more elements;   program instructions to store the one or more elements within a database associated with the recipient;   program instructions to calculate a recipient interest rating for each of the one or more elements, wherein the recipient interest rating is based, at least in part, on the recipient activity;   in response to a sender drafting an electronic message addressed to the recipient, program instructions to compare the one or more elements within a database associated with the recipient to a subject line and message content of the electronic message; and   program instructions to suggest one or more alternative subject lines incorporating at least one of the one or more elements stored within the database associated with the recipient, wherein suggesting the one or more alternative subject lines includes utilizing a predictive analytics system to determine a relative percentage increase in likelihood that the recipient will respond based on the one or more alternative subject lines.   
     
     
         16 . The computer system of  claim 15 , wherein the program instructions to calculate the recipient interest rating for the one or more elements, further comprises:
 program instructions to assign the one or more elements a weight based on at least one of:   one or more actions taken on the one or more social networks;   a time spent on the one or more social networks by the recipient;   one or more relationships between a plurality of variables accessed by the recipient; and   a plurality of data items that occur together in a sequence.   
     
     
         17 . The computer system of  claim 15 , wherein the program instructions to compare the one or more elements within a database associated with the recipient to a subject line and message content of the electronic message, further comprises at least one of:
 program instructions to search for synonyms, of one or more words within the subject line and message content, within the stored rated elements;   program instructions to search for one or more stored rated elements identical to one or more words within the subject line and message content;   program instructions to search for rated keywords, based on weight, within the stored rated elements; and   program instructions to search for one or more stored rated elements equivalent to one or more words within the subject line and message content.   
     
     
         18 . The computer system of  claim 15 , wherein the program instructions to suggest one or more alternative subject lines, further comprises at least one of:
 program instructions to create an alternative subject line from one or more rated elements with the highest weight;   program instructions to create an alternative subject line from one or more rated elements determined to be synonyms of one or more words within the subject line and message content of the electronic message;   program instructions to create an alternative subject line from one or more rated elements determined to be equivalent to one or more words within the subject line and message content of the electronic message; and   program instructions to create an alternative subject line from one or more combinations of rated elements.   
     
     
         19 . The computer system of  claim 18 , wherein the program instructions to create an alternative subject line from one or more rated elements, further comprises:
 program instructions to create a second alternative subject line, subsequent to creating the alternative subject line, which is proffered to the user to replace the subject line of the electronic message.   
     
     
         20 . The computer system of  claim 15 , wherein the program instructions to suggest one or more alternative subject lines, further comprises:
 program instructions to advise the sender of the relative percentage increase in likelihood that the recipient will respond to the electronic message based on the one or more alternative subject lines.

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