METHOD AND SYSTEM FOR INTERACTING WITH A WEB SITE

• US 20130151997A1
• Filed: 12/06/2012
• Published: 06/13/2013
• Est. Priority Date: 12/07/2011
• Status: Abandoned Application

• Current Assignee: Globant, LLC (Globant S.A.)
• Original Assignee: Globant, LLC (Globant S.A.)
• Inventors: MIGOYA, MARTIN
• Application Number:
  US13/707,202
• Publication Number:
  US 20130151997A1
• Time in Patent Office: Days
• US Class Current: 715/760
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 3/0484 for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03

Abstract

A method and system for a user to interact with a web site, comprising: accepting user input at a Web browser, wherein the user input is a string indicating what the user wishes to do on the web site; processing the user input, the processing comprising determining various matching patterns and assigning a weight to each potential matching pattern, the matching patterns relating user inputs to potential actions, and the weight indicating how likely the matching pattern is being used by the user to implement a certain action; and pre-populating a interface action screen using information from the processed user input.

Claims

1. A method for a user to interact with a web site, comprising:

accepting user input at a Web browser, wherein the user input is a string indicating what the user wishes to do on the web site;

processing the user input, the processing comprising determining various matching patterns and assigning a weight to each potential matching pattern, the matching patterns relating user inputs to potential actions, and the weight indicating how likely the matching pattern is being used by the user to implement a certain action; and

pre-populating a user interface action screen using information from the processed user input.

2. The method of claim 1, further comprising:

processing information related to;

banking information;

a most likely option;

or information retrieved from a social network the user is connected to;

or any combination thereof.

3. The method of claim 2, wherein the social network comprises:

Facebook;

Linked In;

or Twitter;

or any combination thereof.

4. The method of claim 1, wherein the string box provides a suggest box to guide the user to defined actions.

5. The method of claim 1, wherein the string is processed on the fly using a natural language processing engine which returns a probable matching action.

6. The method of claim 1, wherein the natural language processing engine also returns a probable matching action parameter.

7. The method of claim 1, wherein the information from the processed user input comprises determining the most likely option for what the user would like to do based on the string.

8. The method of claim 1, wherein the website is a home banking website and/or a travel industry website.

9. The method of claim 8, wherein the travel industry website is an airline website, a bus website, a train website, or a hotel website, or any combination thereof.

10. The method of claim 1, wherein processing the user input comprises preprocessing the user input, the preprocessing comprising:

converting text to lower case;

eliminating multiple and/or duplicative spaces;

inserting a space;

performing a spell check;

or replacing keywords entered by the user with replacement objects, or any combination thereof.

11. The method of claim 10, wherein the replacement objects comprise:

a number, a string, a function, or any combination thereof.

12. The method of claim 1, wherein the processing comprises splitting the user input into tokens.

13. The method of claim 12, wherein the tokens comprise:

a word and/or a symbol.

14. The method of claim 12, wherein the processing comprises:

deleting words that are present in almost all phrases;

comparing each word with a dictionary to fix common typing mistakes;

replacing some words with synonyms to simplify processing;

replacing common phrases with other words or phrases;

eliminating some prepositions which are not relevant;

or any combination thereof.

15. The method of claim 14, wherein the comparing each word with a dictionary to fix common typing mistakes comprises determining whether there'"'"'s a word in the dictionary that looks like the word the user typed, with at least on one of the following differences:

the words have the same letters but the order of two consecutive letters have been swapped; and

/or the words have one letter that is different.

16. The method of claim 14, wherein when comparing each word with a dictionary to fix common typing mistakes, considering the proximity of the keys in the keyboard when evaluating a potential fix.

17. The method of claim 1, wherein assigning the weight to each potential matching pattern further comprises:

assigning a higher probability for a certain action if a token is frequently used to describe the certain action, but not other actions.

18. The method of claim 17, further comprising:

modifying the weight of each potential matching pattern based on a historical log of records relating to user input and the resulting performed action.

19. A system for a user to interact with a web site, comprising:

a processor configured for;

accepting user input at a Web browser, wherein the user input is a string indicating what the user wishes to do on the web site;

processing the user input, the processing comprising determining various matching patterns and assigning a weight to each potential matching pattern, the matching patterns relating user inputs to potential actions, and the weight indicating how likely the matching pattern is being used by the user to implement a certain action; and

pre-populating a user interface action screen using information from the processed user input.

20. The system of claim 19, wherein the processor is further configured for:

processing information related to;

banking information;

a most likely option;

or information retrieved from a social network the user is connected to;

or any combination thereof.

21. The system of claim 20, wherein the social network comprises:

Facebook;

Linked In;

or Twitter;

or any combination thereof.

22. The system of claim 19, wherein the string box provides a suggest box to guide the user to defined actions.

23. The system of claim 19, wherein the string is processed on the fly using a natural language processing engine which returns a probable matching action.

24. The system of claim 19, wherein the natural language processing engine also returns a probable matching action parameter.

25. The system of claim 19, wherein the information from the processed user input comprises determining the most likely option for what the user would like to do based on the string.

26. The system of claim 19, wherein the website is a home banking website and/or a travel industry website.

27. The system of claim 26, wherein the travel industry website is an airline website, a bus website, a train website, or a hotel website, or any combination thereof.

28. The system of claim 19, wherein processing the user input comprises preprocessing the user input, the preprocessing comprising:

converting text to lower case;

eliminating multiple and/or duplicative spaces;

inserting a space;

performing a spell check;

or replacing keywords entered by the user with replacement objects, or any combination thereof.

29. The system of claim 28, wherein the replacement objects comprise:

a number, a string, a function, or any combination thereof.

30. The system of claim 19, wherein the processing comprises splitting the user input into tokens.

31. The system of claim 30, wherein the tokens comprise:

a word and/or a symbol.

32. The system of claim 30, wherein the processing comprises:

deleting words that are present in almost all phrases;

comparing each word with a dictionary to fix common typing mistakes;

replacing some words with synonyms to simplify processing;

replacing common phrases with other words or phrases;

eliminating some prepositions which are not relevant;

or any combination thereof.

33. The system of claim 32, wherein the comparing each word with a dictionary to fix common typing mistakes comprises determining whether there'"'"'s a word in the dictionary that looks like the word the user typed, with at least on one of the following differences:

the words have the same letters but the order of two consecutive letters have been swapped; and

/or the words have one letter that is different.

34. The system of claim 32, wherein when comparing each word with a dictionary to fix common typing mistakes, considering the proximity of the keys in the keyboard when evaluating a potential fix.

35. The system of claim 19, wherein assigning the weight to each potential matching pattern further comprises:

assigning a higher probability for a certain action if a token is frequently used to describe the certain action, but not other actions.

36. The system of claim 35, further comprising:

modifying the weight of each potential matching pattern based on a historical log of records relating to user input and the resulting performed action.