Method and system for storing and managing digital assets
In some aspects, the techniques described herein relate to a method including: obtaining, by a computing device, a set of messages, each message including message metadata and message structure, at least one message of the set of messages comprising a digital asset; clustering, by the computing device, the set of messages based on the message metadata and the message structure; classifying, by the computing device, the clusters into categories; determining, by the computing device, a digital asset structure from at least one message cluster; and generating, by the computing device, at least one mapping rule based on the digital asset structure.
1. A method comprising:
obtaining, by a device, a set of messages, each message comprising message metadata and a message structure, each message comprising a digital asset positioned within the message structure;
clustering, by the device, the messages based on the message metadata;
determining, by the device, a digital asset structure for the cluster, the digital asset structure comprising information related to the message structure of each message in the cluster;
generating, by the device, a mapping rule for the cluster, the mapping rule comprising information related to the digital asset structure; and
providing, by the device, at least one digital asset to third party system based on the mapping rule.
2. The method of claim 1 , further comprising:
receiving a request from a user in association with a service provided by the third party system, wherein the at least one digital asset is provided in accordance with the received request.
3. The method of claim 1 , further comprising:
classifying the cluster into a category based on a set of attributes of the messages in the cluster, wherein the cluster includes information associated with the category.
4. The method of claim 3 , wherein the category corresponds to at least one of a keyword, digital asset and type of digital asset.
5. The method of claim 1 , wherein a remainder of the set of messages are subject to clustering, wherein a mapping rule is further generated for each cluster.
6. The method of claim 1 , wherein the mapping rule further comprises information associating the message metadata of each message in the cluster.
7. The method of claim 1 , wherein the clustering of the set of messages is further based on the message structure.
8. The method of claim 1 , wherein the digital asset structure comprises information related to the Hypertext Transport Protocol (HTTP) structure of the messages in the cluster.
9. The method of claim 1 , wherein the set of messages correspond to a set of users.
10. The method of claim 1 , wherein the set of messages correspond to messages in an inbox of a user.
11. A device, comprising:
a processor configured to:
obtain a set of messages, each message comprising message metadata and a message structure, each message comprising a digital asset positioned within the message structure;
cluster the messages based on the message metadata;
determine a digital asset structure for the cluster, the digital asset structure comprising information related to the message structure of each message in the cluster;
generate a mapping rule for the cluster, the mapping rule comprising information related to the digital asset structure;
receive a request from a user in association with a service provided by a third party system; and
provide at least one digital asset to the third party system based on the mapping rule.
12. The device of claim 11 , wherein the processor is further configured to:
classify the cluster into a category based on a set of attributes of the messages in the cluster, wherein the cluster includes information associated with the category, wherein the category corresponds to at least one of a keyword, digital asset and type of digital asset.
13. The device of claim 11 , wherein a remainder of the set of messages are subject to clustering, wherein a mapping rule is further generated for each cluster.
14. The device of claim 11 , wherein the mapping rule further comprises information associating the message metadata of each of the messages in the cluster.
15. The device of claim 11 , wherein the clustering of the set of messages is further based on the message structure.
16. A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions that when executed by a processor perform a method comprising:
obtaining, by a device, a set of messages, each message comprising message metadata and a message structure, each message comprising a digital asset positioned within the message structure;
clustering, by the device, a the messages based on the message metadata;
determining, by the device, a digital asset structure for the cluster, the digital asset structure comprising information related to the message structure of each of the messages in the cluster;
generating, by the device, a mapping rule for the cluster, the mapping rule comprising information related to the digital asset structure;
receiving, by the device, a request from a user in association with a service provided by a third party system; and
providing, by the device, at least one digital asset to the third party system based on the mapping rule.
17. The non-transitory computer-readable storage medium of claim 16 , further comprising:
classifying the cluster into a category based on a set of attributes of the messages in the cluster, wherein the cluster includes information associated with the category, wherein the category corresponds to at least one of a keyword, digital asset and type of digital asset.
18. The non-transitory computer-readable storage medium of claim 16 , wherein a remainder of the set of messages are subject to clustering, wherein a mapping rule is further generated for each cluster.
19. The non-transitory computer-readable storage medium of claim 16 , wherein the mapping rule further comprises information associating the message metadata of each of the messages in the cluster.
20. The non-transitory computer-readable storage medium of claim 16 , wherein the clustering of the set of messages is further based on the message structure.