Method and system for serving personalized content to enhance user experience

1. A computer-implemented method for presenting personalized content to a user, the method comprising:

receiving, at at least one server, user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network;

extracting, using at least one processor, two or more data tags from the received user data;

determining, using the at least one processor, an importance of each data tag, of the two or more data tags;

associating, using the at least one processor, at least one data tag, of the two or more data tags, with a message, of the one or more messages in the user mailbox, wherein the associating the at least one data tag includes associating a data tag, of the two or more data tags, having a relatively higher importance than that of other data tags, of the two or more data tags;

finding, using the at least one processor, information in the network that corresponds to the associated at least one data tag;

generating, using the at least one processor, a notification for the user, the notification including the found information in the network, wherein the notification is associated with the message, of the one or more messages in the user mailbox; and

outputting the generated notification to a user interface of a device of the user and an email chain associated with the message, the email chain including highlighted lext that corresponds to the at least one data tag with the higher importance.

2. The method of claim 1 , wherein the determining the importance of each data tag includes assigning an importance value, and wherein the importance value is determined by counting a number of times a word, image, symbol, or other representation of each data tag appears within a segment of the received user data.

3. The method of claim 1 , wherein the user data further includes location data, and wherein the two or more data tags include at least one GPS tag from the location data.

4. The method of claim 1 , further comprising receiving, at the at least one server, additional user data within a more recent period of time,

wherein the steps of extracting, associating, finding, and generating are performed based on the received additional user data, thereby generating a new notification that is output to the user interface.

5. The method of claim 1 , wherein each data tag, of the two or more data tags, comprises one or more of a brand name, a product, a deal for a product, a stock ticker, and event information.

6. The method of claim 1 , wherein the notification is configured to be displayed on a home screen of the device of the user.

7. The method of claim 1 , wherein the notification is configured to be displayed near a message, of the one or more messages in the user mailbox.

8. The method of claim 1 , wherein the user data includes user data generated within a predetermined period of time.

9. A system for presenting personalized content to a user, the system comprising:

at least one server;

a storage device that stores instructions; and

at least one processor that executes instructions the instructions to perform a method comprising:

receiving, at the at least one server, user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network;

extracting, using at least one processor, two or more data tags from the received user data;

determining, using the at least one processor, an importance of each data tag, of the two or more data tags;

associating, using the at least one processor, at least one data tag, of the two or more data tags, with a message, of the one or more messages in the user mailbox, wherein the associating the at least one data tag includes associating a data tag, of the two or more data tags, having a relatively higher importance than that of other data tags, of the two or more data tags;

finding, using the at least one processor, information in the network that corresponds to the associated at least one data tag;

generating, using the at least one processor, a notification for the user, the notification including the found information in the network, wherein the notification is associated with the message, of the one or more messages in the user mailbox; and

outputting the generated notification to a user interface of a device of the user and an email chain associated with the message, the email chain including highlighted text that corresponds to the at least one data lag with the higher importance.

10. The system of claim 9 , wherein the determining the importance of each data tag includes assigning an importance value, and wherein the importance value is determined by counting a number of times a word, image, symbol, or other representation of each data tag appears within a segment of the received user data.

11. The system of claim 9 , wherein the user data further includes location data, and

wherein the two or more data tags include at least one GPS tag from the location data.

12. The system of claim 9 , wherein the method further comprises receiving, at the at least one server, additional user data within a more recent period of time, and

wherein the steps of extracting, associating, finding, and generating are performed based on the received additional user data, thereby generating a new notification that is output to the user interface.

13. The system of claim 9 , wherein each data tag, of the two or more data tags, comprises one or more of a brand name, a product, a deal for a product, a stock ticker, and event information.

14. The system of claim 9 , wherein the notification is configured to be displayed on a home screen of the device of the user.

15. The system of claim 9 , wherein the notification is configured to be displayed near a message of the one or more messages in the user mailbox.

16. The system of claim 9 , wherein the user data includes user data generated within a predetermined period of time.

17. A non-transitory computer readable medium storing instructions for presenting personalized content to a user, the instructions configured to cause at least one processor to perform a method comprising:

receiving, at at least one server, user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network;

extracting, using the at least one processor, two or more data tags from the received user data;

determining, using the at least one processor, an importance of each data tag, of the two or more data tags;

associating, using the at least one processor, at least one data tag, of the two or more data tags, with a message, of the one or more messages in the user mailbox, wherein the associating the at least one data tag includes associating a data tag, of the two or more data tags, having a relatively higher importance than that of other data tags, of the two or more data tags;

finding, using the at least one processor, information in the network that corresponds to the associated at least one data tag;

generating, using the at least one processor, a notification for the user, the notification including the found information in the network, wherein the notification is associated with the message, of the one or more messages in the user mailbox; and

outputting the generated notification to a user interface of a device of the user and an email chain associated with the message, the email chain including highlighted lext that corresponds to the at least one data tag with the higher importance.

18. The non-transitory computer-readable storage medium of claim 17 , wherein the determining the importance of each data tag includes assigning an importance value, and wherein the importance value is determined by counting a number of times a word, image, symbol, or other representation of each data tag appears within a segment of the received user data.

19. The non-transitory computer-readable storage medium of claim 17 , wherein the user data further includes location data, and wherein the two or more data tags include at least one GPS tag from the location data.

20. The non-transitory computer-readable storage medium of claim 17 , wherein the method further comprises receiving, at the at least one server, additional user data within a more recent period of time, and

wherein the steps of extracting, associating, finding, and generating are performed based on the received additional user data, thereby generating a new notification that is output to the user interface.