JPWO2021119064A5

JPWO2021119064A5 -

Info

Publication number: JPWO2021119064A5
Application number: JP2022534825A
Authority: JP
Publication date: 2023-10-31

Claims

A program that causes one or more processors to perform an operation , the operation comprising:
receiving email information from a first email client, the email information being associated with an email message sent from the first email client to a second email client; Furthermore,
generating a hash key based on the email information, the hash key uniquely identifying the email message, the operations further comprising:
providing the email information to a model, the model generating a score for the set of available tags, and the model determining how the set of available tags corresponds to the email information. trained to generate a score for the set of available tags based on how closely correlated the operations further include:
identifying a set of predicted tags as a subset of the set of available tags based at least in part on the score;
storing the hash keys in a hash map of hash keys, wherein the hash keys in the hash map are data structures representing a subset of the set of available tags that are not part of the set of predicted tags. Referring to, the operation further includes:
sending the set of predicted tags to the first email client , the set of tags selected from the set of predicted tags being used to send the email message to the second email client; a program that is sent with said e-mail message when

2. The program product of claim 1, wherein the selected set of tags is embedded in a header of the email message when the email message is sent to the second email client.

receiving a request from the first email client that includes a prefix of a new tag received from a user;
identifying a set of autocomplete tags in the set of available tags starting with the prefix;
2. The program of claim 1, further comprising: sending the set of autocomplete tags to the first email client.

2. The program product of claim 1, wherein a set of unselected tags of the set of predicted tags is also sent with the email message when the email message is sent to the second email client.

A set of user tags of the set of predictive tags is also sent with the email message when the email message is sent to the second email client, and the set of user tags is one of the predictive tags. The program according to claim 1, different from the set.

2. The program product of claim 1, wherein the first email client is configured to generate a user interface that includes a display of an email header that includes the set of predictive tags.

2. The program product of claim 1 , wherein the data structure includes weighted prefix tries.

The said operation is
receiving a prefix and the email information from the first email client;
regenerating the hash key using the email information;
referencing a data structure for the email message using the hash key;
2. The program product of claim 1 , further comprising retrieving from the data structure one or more tags in the set of available tags that complete the prefix.

2. The program product of claim 1, wherein the operations further include receiving the selected set of tags from an email server, and wherein the email message is sent through the email server.

10. The program product of claim 9 , wherein the operations further include receiving a set of user tags different from the selected tag from the email server.

11. The program product of claim 10 , wherein the operations further include retraining the model using the set of user tags.

2. The program product of claim 1, wherein the model is selected from a plurality of models, and each model of the plurality of models is associated with a different user group.

13. The program product of claim 12 , wherein each different user group corresponds to a predetermined mailing list.

The said operation is
The operations further include receiving second email information from an email server through which a second email message is sent from the first email client;
identifying a second set of predicted tags from the set of available tags by providing the second email information to the model;
sending the second set of predictive tags to the email server, the second set of predictive tags being sent to the second email client along with the second email message. , The program according to claim 1.

The said operation is
receiving changes to the selected set of tags or new user tags from the second email client after the second email client receives the email message;
retraining the model using the email information and the changes to the selected set of tags or the new tags from the second email client. Programs listed.

The model is
a word embedding matrix populated using the email information;
multiple convolutional filters with different window sizes;
and a maximum pooling operation using results from the plurality of convolution filters.

A method of automatically generating end-to-end email tags in an email system, the method comprising:
receiving email information from a first email client, the email information being associated with an email message sent from the first email client to a second email client; Furthermore,
generating a hash key based on the email information, the hash key uniquely identifying the email message, the method further comprising:
providing the email information to a model, the model generating a score for the set of available tags, and the model determining how the set of available tags corresponds to the email information. trained to generate a score for the set of available tags based on how closely correlated the method further comprises:
identifying a set of predicted tags as a subset of the set of available tags based at least in part on the score;
storing the hash keys in a hash map of hash keys, wherein the hash keys in the hash map are data structures representing a subset of the set of available tags that are not part of the set of predicted tags. Reference is made to the method further comprising:
sending the set of predicted tags to the first email client , the set of tags selected from the set of predicted tags being used to send the email message to the second email client; the method, the method being sent with said e-mail message when

A system,
one or more processors;
one or more memory devices containing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations, the operations comprising:
receiving email information from a first email client, the email information being associated with an email message sent from the first email client to a second email client; Furthermore,
generating a hash key based on the email information, the hash key uniquely identifying the email message, the operations further comprising:
providing the email information to a model, the model generating a score for the set of available tags, and the model determining how the set of available tags corresponds to the email information. trained to generate a score for the set of available tags based on how closely correlated the operations further include:
identifying a set of predicted tags as a subset of the set of available tags based at least in part on the score;
storing the hash keys in a hash map of hash keys, wherein the hash keys in the hash map are data structures representing a subset of the set of available tags that are not part of the set of predicted tags. Referring to, the operation further includes:
sending the set of predicted tags to the first email client , the set of tags selected from the set of predicted tags being used to send the email message to the second email client; system.