MECHANISM FOR ASSOCIATING DOCUMENT WITH EMAIL BASED ON RELEVANT CONTEXT

• US 20100131523A1
• Filed: 11/25/2008
• Published: 05/27/2010
• Est. Priority Date: 11/25/2008
• Status: Abandoned Application

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: Chen, Chunsen, Pan, Xianyao, Yang, Yizhen, Yu, Leo Chi-Lok, Xue, Wei
• Application Number:
  US12/277,978
• Publication Number:
  US 20100131523A1
• Time in Patent Office: Days
• US Class Current: 707/756
• CPC Class Codes: G06F 16/1734 Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]

Abstract

A mechanism for associating a remote document with an email based on user behaviors is described herein. According to one embodiment, an email context is extracted from a current email being accessed by a user, the email context including one or more attributes representing certain characteristics of the current email. A related context having a list of one or more documents is automatically presented that are related to the current email based on at least one attribute of the email context. The one or more documents are associated with a prior email having certain characteristics that are similar to those represented by at least one attribute of the email context. Other methods and apparatuses are also described.

Claims

1. A computer-implemented method, the method comprising:

extracting an email context from a current email being accessed by a user, the email context including one or more attributes representing certain characteristics of the current email; and

automatically presenting to the user a related context having a list of one or more documents that are related to the current email based on at least one attribute of the email context, wherein the one or more documents are associated with a prior email having certain characteristics that are similar to those represented by at least one attribute of the email context.

2. The method of claim 1, further comprising searching in a database using at least one attribute of the email context as one or more search terms to identify the one or more documents, the first document having a relationship with at least one of the search terms, wherein the relationship was created and stored in the database when the user accessed the prior email.

3. The method of claim 2, wherein a prior email context was extracted from the prior email when the user accessed the prior email, wherein an action performed by the user with respect to the one or more documents was captured when the user accessed the one or more documents associated with the prior email, and wherein a relationship was created between at least one attribute of the prior email context and the one or more documents based on the captured action.

4. The method of claim 3, further comprising calculating a score for each of the one or more documents representing a relevancy level of each document with respect to the current email, wherein the score is determined based on a weight assigned to each relationship between the at least one attribute and each document, and wherein the one or more documents are listed according to an order based on scores associated with the one or more documents.

5. The method of claim 3, wherein the email context and prior email context include one or more attributes representing at least one of a sender identifier, a recipient identifier, a subject matter, and a keyword of the current email and prior email.

6. The method of claim 5, wherein the action includes one of viewing, attaching, receiving, downloading, and tagging the one or more documents.

7. The method of claim 1, further comprising:

displaying the current email in a first window; and

displaying a second window as an email companion window, the email companion window listing the one or more documents that are related to the current email, wherein the one or more documents are listed based on levels of a relevancy with respect to the current email.

8. The method of claim 1, further comprising:

in response to the user accessing a document while accessing the current email, capturing a user action with respect to the document; and

creating a new relationship between at least one attribute of the current context and the document;

assigning a weight representing a strength of a relevance to the new relationship based on a type of the at least one attribute and the captured user action; and

storing the new relationship with the assigned weight in the database such that when the user accesses a future email, the document can be identified and presented to the user based on the new relationship.

9. The method of claim 8, further comprising associating the new relationship with a graph data structure having a first node and a second node coupled to the first node via an edge, wherein the first node represents the at least one attribute;

the second node represents the document; and

the edge represents the user action.

10. The method of claim 8, wherein creating the new relationship and presenting the one or more documents are performed substantially concurrently.

11. A machine-readable storage medium having instructions stored therein, which when executed by a machine, cause the machine to perform a method, the method comprising:

extracting an email context from a current email being accessed by a user, the email context including one or more attributes representing certain characteristics of the current email; and

automatically presenting to the user a related context having a list of one or more documents that are related to the current email based on at least one attribute of the email context, wherein the one or more documents are associated with a prior email having certain characteristics that are similar to those represented by at least one attribute of the email context.

12. The machine-readable storage medium of claim 11, wherein the method further comprises searching in a database using at least one attribute of the email context as one or more search terms to identify the one or more documents, the first document having a relationship with at least one of the search terms, wherein the relationship was created and stored in the database when the user accessed the prior email.

13. The machine-readable storage medium of claim 12, wherein a prior email context was extracted from the prior email when the user accessed the prior email, wherein an action performed by the user with respect to the one or more documents is captured when the user accessed the one or more documents associated with the prior email, and wherein a relationship was created between at least one attribute of the prior email context and the one or more documents based on the captured action.

14. The machine-readable storage medium of claim 13, wherein the method further comprises calculating a score for each of the one or more documents representing a relevancy level of each document with respect to the current email, wherein the score is determined based on a weight assigned to each relationship between the at least one attribute and each document, and wherein the one or more documents are listed according to an order based on scores associated with the one or more documents.

15. The machine-readable storage medium of claim 13, wherein the email context and prior email context include one or more attributes representing at least one of a sender identifier, a recipient identifier, a subject matter, and a keyword of the current email and prior email.

16. The machine-readable storage medium of claim 15, wherein the action includes one of viewing, attaching, receiving, downloading, and tagging the one or more documents.

17. The machine-readable storage medium of claim 11, wherein the method further comprises:

displaying the current email in a first window; and

displaying a second window as an email companion window, the email companion window listing the one or more documents that are related to the current email, wherein the one or more documents are listed based on levels of a relevancy with respect to the current email.

18. The machine-readable storage medium of claim 11, wherein the method further comprises:

in response to the user accessing a document while accessing the current email, capturing a user action with respect to the document; and

creating a new relationship between at least one attribute of the current context and the document;

assigning a weight representing a strength of a relevance to the new relationship based on a type of the at least one attribute and the captured user action; and

storing the new relationship with the assigned weight in the database such that when the user accesses a future email, the document can be identified and presented to the user based on the new relationship.

19. The machine-readable storage medium of claim 18, wherein the method further comprises associating the new relationship with a graph data structure having a first node and a second node coupled to the first node via an edge, wherein the first node represents the at least one attribute;

the second node represents the document; and

the edge represents the user action.

20. The machine-readable storage medium of claim 18, wherein creating the new relationship and presenting the one or more documents are performed substantially concurrently.

21. A computer-implemented method, comprising:

automatically extracting a first context from a first email being accessed by a user, the first context including one or more attributes representing certain characteristics of the first email;

in response to the user accessing a document while accessing the first email, capturing a user action associated with accessing the document;

automatically associating at least one attribute of the first context with the document to create a relationship in view of the captured user action; and

storing the relationship in a database, such that when the user subsequently accesses a second email having similar characteristics of the first email, the document can be identified and suggested to the user based on the relationship stored in the database.

22. A computer-implemented method, comprising:

automatically extracting an email context from a current email displayed in a first window being accessed by a user, the current context including one or more attributes representing certain characteristics of the current email;

generating a list of one or more documents that are related to the current email based on the email context, wherein the one or more documents are associated with a prior email having certain characteristics that are similar to those represented by at least one attribute of the email context; and

displaying a second window as an email companion window, the email companion window listing the one or more documents that are related to the current email displayed in the first window based on the email context.

23. The method of claim 22, further comprising:

displaying metadata of a document currently associated with the current email in a current context area within the email companion window;

displaying the list of the one or more documents related to the current email in a related context area within the email companion window, wherein the one or more documents are listed according to an order based on relevant levels of the one or more documents, wherein the relevant levels are determined based on a type of user behaviors regarding the one or more documents while accessing the prior email; and

in response to selecting a specific document listed within the related context area, displaying content of the selected document in a third window.