Using a prediction algorithm on the addressee field in electronic mail systems
First Claim
Patent Images
1. A computerized method for predicting a correct addressee to be filled-in in an addressee field in an e-mail computer hardware system, whereby user-related history information, including the user'"'"'s prior sent and/or received e-mail, is analyzed for associating the most probable addressee for an e-mail to be addressed, comprising the steps of:
- analyzing, within the e-mail computer hardware system, at least one of the following attributes of said user-related history information and of said e-mail to be addressed;
a subject line of said sent, received, and to-be-addressed e-mail;
the length of said sent, received, and to-be-addressed e-mail;
the language used in said sent, received, and to-be-addressed e-mail;
a time associated with said sent, received, and to-be-addressed e-mail;
the vocabulary used in said sent, received, and to-be-addressed e-mail;
topics discussed in the body of said sent, received, and to-be-addressed e-mail;
the salutation form used in said sent, received, and to-be-addressed e-mail;
the closing form used in said sent, received, and to-be-addressed e-mail;
whereby Text Mining methods are used to associate attribute values with respective addressees, thus yielding a plurality of single analysis results usable for said prediction, andweighting the plurality of said single analysis results to provide a Data Mining Model adapted to offer at least one top favorite addressee proposal as a prediction result.
1 Assignment
0 Petitions
Accused Products
Abstract
A computerized method for predicting/completing the addressee field in an electronic mail system, in which user-related history information, including the user'"'"'s sent and/or received mail, is analyzed, using text mining and/or data mining techniques, for associating the most probable addressee for a given e-mail letter.
-
Citations
33 Claims
-
1. A computerized method for predicting a correct addressee to be filled-in in an addressee field in an e-mail computer hardware system, whereby user-related history information, including the user'"'"'s prior sent and/or received e-mail, is analyzed for associating the most probable addressee for an e-mail to be addressed, comprising the steps of:
-
analyzing, within the e-mail computer hardware system, at least one of the following attributes of said user-related history information and of said e-mail to be addressed; a subject line of said sent, received, and to-be-addressed e-mail; the length of said sent, received, and to-be-addressed e-mail; the language used in said sent, received, and to-be-addressed e-mail; a time associated with said sent, received, and to-be-addressed e-mail; the vocabulary used in said sent, received, and to-be-addressed e-mail; topics discussed in the body of said sent, received, and to-be-addressed e-mail; the salutation form used in said sent, received, and to-be-addressed e-mail; the closing form used in said sent, received, and to-be-addressed e-mail; whereby Text Mining methods are used to associate attribute values with respective addressees, thus yielding a plurality of single analysis results usable for said prediction, and weighting the plurality of said single analysis results to provide a Data Mining Model adapted to offer at least one top favorite addressee proposal as a prediction result. - View Dependent Claims (2, 3, 4)
-
-
5. A computerized method for completing an addressee field in a user-initiated “
- new mail”
within an e-mail computer hardware system, comprising the steps of;on an occurrence of an incomplete entering of an addressee term in said addressee field, running a predictive Data Mining method based on a trained Data Mining Model developed by; analyzing, within the e-mail computer hardware system, one or more attribute values of user-related history information, including the user'"'"'s prior sent and/or received e-mail, and of said new e-mail to be addressed, whereby Text Mining methods are used to associate attribute values with respective addressees, thus yielding a plurality of single analysis results usable for said completing the address field; and weighting the plurality of single analysis results to provide a Data Mining Model adapted to offer at least one top favorite addressee proposal as an address-completion result; and conveying at least the most probable addressee proposal to the user as an address-completion result. - View Dependent Claims (6, 7, 8, 9, 10, 11)
- new mail”
-
12. A computerized system for predicting a correct addressee to be filled-in in an addressee field in an e-mail system, whereby user-related history information, including the user'"'"'s prior sent and/or received e-mail, is analyzed for associating the most probable addressee for an e-mail to be addressed, comprising:
-
computerized means for analyzing at least one of the following attributes of said user-related history (information and of said e-mail to be addressed; a subject line of sent, received, and/or to-be-addressed e-mail; the length of said sent, received, and/or to-be-addressed e-mail; the language used in said sent, received, and/or to-be-addressed e-mail; a time associated with said sent, received, and/or to-be-addressed e-mail; the vocabulary used in said sent, received, and/or to-be-addressed e-mail; topics discussed in the body of said sent, received, and/or to-be-addressed e-mail; the salutation form used in said sent, received, and/or to-be-addressed e-mail; the closing form used in said sent, received, and/or to-be-addressed e-mail; whereby Text Mining methods are used to associate attribute values with respective addressees thus yielding a plurality of single analysis results usable for said prediction, computerized means for weighting the plurality of said single analysis results to provide a Data Mining Model adapted to offer at least one top favorite addressee proposal as a prediction result. - View Dependent Claims (13, 14, 15)
-
-
16. A computerized system for completing an addressee field of a new e-mail being sent by a user via an e-mail system, comprising:
-
computerized means for developing a trained Data Mining Model, comprising computerized means for analyzing one or more attribute values of user-related history information, including the user'"'"'s prior sent and/or received e-mail, and of said new e-mail whereby Text Mining methods are used to associate attribute values with respective addressees, thus yielding a plurality of single analysis results usable for completing the address field of said new e-mail, and computerized means for weighting the plurality of single analysis results to provide a Data Mining Model adapted to identify at least the most probable addressee proposal from among the plurality of single analysis results as an address-completion result; and computerized means for conveying at least the most probable addressee proposal to the user as a proposed address-completion result; whereby, on an occurrence of an incomplete entering of an addressee term in said addressee field, running said predictive Data Mining model to identify the most probable addressee proposal. - View Dependent Claims (17, 18, 19, 20, 21, 22)
-
-
23. A computer program product for predicting a correct addressee to be filled-in in an addressee field in an e-mail system, whereby user-related history information, including the user'"'"'s prior sent and/or received e-mail, is analyzed for associating the most probable addressee for an e-mail to be addressed, the computer program product comprising a computer-readable storage medium having computer-readable program code embodied in the medium, the computer-readable program code comprising:
-
computer-readable program code that analyzes at least one of the following attributes of said user-related history information and of said e-mail to be addressed; a subject line of a sent, received, and/or to-be-addressed e-mail; the length of said sent, received, and/or to-be-addressed e-mail; the language used in said sent, received, and/or to-be-addressed e-mail; a time associated with said sent, received, and/or to-be-addressed e-mail; the vocabulary used in said sent, received, and/or to-be-addressed e-mail; topics discussed in the body of said sent, received, and/or to-be-addressed e-mail; the salutation form used in said sent, received, and/or to-be-addressed e-mail; the closing form used in said sent, received, and/or to-be-addressed e-mail; whereby Text Mining methods are used to associate attribute values with respective addressees thus yielding a plurality of single analysis results usable for said prediction, and computer-readable program code that weights the plurality of said single analysis results to provide a Data Mining Model adapted to offer at least one top favorite addressee proposal as a prediction result. - View Dependent Claims (24, 25, 26)
-
-
27. A computer program product for completing an addressee field in a user-initiated e-mail to be addressed within an e-mail system, the computer program product comprising a computer-readable storage medium having computer-readable program code embodied in the medium, the computer-readable program code comprising:
-
computer-readable program code that, on an occurrence of an incomplete entering of an addressee term in said addressee field, runs a predictive Data Mining method based on a trained Data Mining Model developed by; analyzing one or more attribute values of user-related history information, including the user'"'"'s prior sent and/or receive e-mail, and of said new e-mail to be addressed, whereby Text Mining methods are used to associate attribute values with respective addressees, thus yielding a plurality of single analysis results usable for said completing the address field, and weighting the plurality of single analysis results to provide a Data Mining Model adapted to offer at least one top favorite addressee proposal as an address-completion result; and computer-readable program code that conveys at least the most probable addressee proposal to the user as an address-completion result. - View Dependent Claims (28, 29, 30, 31, 32, 33)
-
Specification