Systems and methods for multi-protocol, multi-format universal searching

• US 10,394,966 B2
• Filed: 12/31/2015
• Issued: 08/27/2019
• Est. Priority Date: 02/24/2014
• Status: Active Grant

• Current Assignee: Entefy Inc.
• Original Assignee: Entefy Inc.
• Inventors: Ghafourifar, Alston, Ghafourifar, Mehdi, Ghafourifar, Brienne
• Primary Examiner(s): Alam, Hosain T
• Assistant Examiner(s): Allen, Nicholas E
• Application Number:
  US14/986,252
• Publication Number:
  US 20170193084A1
• Time in Patent Office: 1,335 Days
• Field of Search: 707728
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/90335 Query processing
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: H04L 51/42 Mailbox-related aspects, e.g. synchronisation of mailboxes

Abstract

This disclosure relates to systems, methods, and computer readable media for performing multi-format, multi-protocol personalized searching in a manner that is most beneficial for the individual user. Personalized searching can be achieved by obtaining a plurality of data objects for a first user. The data objects can exist in a wide variety of formats and can be received via a number of protocols. One or more message objects can be created for each of the data objects, according to a standardized format and stored. The universal message objects can be indexed in a manner that is personal to the user, and in accordance with one or more parameters that can be updated on an ongoing or periodic basis, in accordance with the actions of the user, or any combination thereof.

Claims

1. A non-transitory computer readable medium storing computer readable instructions, which, upon execution by at least one or more processing units, cause the one or more processing units to:

obtain a first plurality of data objects for a first user, wherein the first plurality of data objects comprises;

one or more data objects in each of a first plurality of formats; and

one or more data objects sent or received via each of a first plurality of protocols;

designate a first plurality of message objects, each message object corresponding to at least a portion of a data object from among the first plurality of data objects;

create one or more associations between one or more of the first plurality of message objects;

receive a query from the first user requesting at least one message object from the first plurality of message objects;

generate one or more index search terms based, at least in part, on the received query;

generate a set of one or more search results including one or more message objects from among the first plurality of message objects, in response to the generated one or more index search terms,

wherein the set of one or more search results set is based, at least in part, on one or more index parameters for one or more of the generated one or more index search terms, and

wherein at least one of the one or more index parameters is determined individually for the first user;

determine from a syntax of one or more communications of the first user that an expression has a meaning corresponding to a first index search term; and

create an index parameter based on the expression and assign it to each data object corresponding to the first index search term.

2. The non-transitory computer readable medium of claim 1, further storing instructions to cause the one or more processing units to:

determine a relevancy score for the one or more search results;

rank the one or more search results, based at least in part on the relevancy score associated with each result; and

render on a display, the one or more search results based at least in part on the ranking of the search results.

3. The non-transitory computer readable medium of claim 2, further storing instructions to cause the one or more processing units to revise the one or more index parameters based, at least in part, on the relevancy score for each of the search results.

4. The non-transitory computer readable medium of claim 1, further storing instructions to cause the one or more processing units to revise the one or more index parameters based, at least in part, on historical search patterns of the first user, types of data typically searched by the first user, and keywords typically favored by the first user.

5. The non-transitory computer readable medium of claim 1, further storing instructions to cause the one or more processing units to revise the one or more index parameters based, at least in part, on detected language patterns of the first user, and an age of data objects typically searched by the first user.

6. The non-transitory computer readable medium of claim 1, further storing instructions to cause the one or more processing units to:

create a profile for the first user, the profile containing attributes of the first user obtained through analysis of searching behaviors of the first user; and

assign the profile to a second user based, at least in part, on similarities between the first user and the second user.

7. The non-transitory computer readable medium of claim 1, wherein the search results include messages from at least two different protocols.

8. A system, comprising:

a memory; and

one or more processing units, communicatively coupled to the memory, wherein the memory stores instructions to cause the one or more processing units to;

obtain a first plurality of messages for a first user, wherein the first plurality of messages comprises;

one or more data objects in each of a first plurality of formats; and

one or more data objects sent or received via each of a first plurality of protocols;

create one or more associations between one or more of the first plurality of messages;

receive a query from the first user requesting at least one message from the first plurality of messages;

generate one or more index search terms based, at least in part, on the received query;

generate a set of one or more search results in response to the generated one or more index search terms,

wherein the result set is based, at least in part, on one or more index search parameters for one or more of the generated one or more index search terms, and

wherein at least one of the one or more index search parameters is determined individually for the first user;

determine from a syntax of one or more communications of the first user that an expression has a meaning corresponding to a first index search term; and

create an index parameter based on the expression and assign it to each data object corresponding to the first index search term.

9. The system of claim 8, the memory further storing instructions to cause the one or more processing units to:

determine a relevancy score for the one or more search results;

rank the one or more search results, based at least in part on the relevancy score associated with each result; and

render on a display, the one or more search results based at least in part on the ranking of the search results.

10. The system of claim 9, further storing instructions to cause the one or more processing units to revise the one or more index search parameters based, at least in part, on the relevancy score for each of the search results.

11. The system of claim 8, further storing instructions to cause the one or more processing units to revise the one or more index search parameters based, at least in part, on part historical search patterns of the first user, types of data typically searched by the first user, and keywords typically favored by the first user.

12. The system of claim 8, the memory further storing instructions to cause the one or more processing units to revise the one or more index search parameters based, at least in part, on detected language patterns of the first user, and an age of data objects typically searched by the first user.

13. The system of claim 8, further storing instructions to cause the one or more processing units to:

create a profile for the first user, the profile containing attributes of the first user obtained through analysis of searching behaviors of the first user; and

assign the profile to a second user based, at least in part, on similarities between the first user and the second user.

14. The system of claim 8, wherein the results include messages from at least two different protocols.

15. A computer-implemented method, comprising:

obtaining a first plurality of data objects for a first user, wherein the first plurality of data objects comprises;

one or more data objects in each of a first plurality of formats; and

one or more data objects sent or received via each of a first plurality of protocols;

designating a first plurality of message objects, each message object corresponding to at least a portion of a data object from among the first plurality of data objects;

creating one or more associations between one or more of the first plurality of message objects;

receiving a query from the first user requesting at least one message object from the first plurality of message objects;

generating one or more index search terms based, at least in part, on the received query;

generating a set of one or more search results including one or more message objects from among the first plurality of message objects, in response to the generated one or more index search terms,

wherein the set of one or more search results set is based, at least in part, on one or more index parameters for one or more of the generated one or more index search terms, and

wherein at least one of the one or more index parameters is determined individually for the first user;

determining from a syntax of one or more communications of the first user that an expression has a meaning corresponding to a first index search term; and

creating an index parameter based on the expression and assign it to each data object corresponding to the first index search term.

16. The computer-implemented method of claim 15, further comprising:

determining a relevancy score for the one or more search results;

ranking the one or more search results, based at least in part on the relevancy score associated with each result; and

rendering on a display, the one or more search results, based at least in part on the ranking of the search results.

17. The computer-implemented method of claim 16, further comprising revising the one or more index parameters based, at least in part, on the relevancy score for each of the search results.

18. The computer-implemented method of claim 15, further comprising the one or more index parameters based, at least in part, on part historical search patterns of the first user, types of data typically searched by the first user, and keywords typically favored by the first user.

19. The computer-implemented method of claim 15, further comprising revising the one or more index parameters based, at least in part, on detected language patterns of the first user, and an age of data objects typically searched by the first user.

20. The computer-implemented method of claim 15, further comprising:

creating a profile for the first user, the profile containing attributes of the first user obtained through analysis of searching behaviors of the first user; and

assigning the profile to a second user based, at least in part, on similarities between the first user and the second user.