Method and system for processing classified advertisements

• US 20050165642A1
• Filed: 11/05/2004
• Published: 07/28/2005
• Est. Priority Date: 05/07/2002
• Status: Abandoned Application

• Current Assignee: Publigroupe Limited (Government of Switzerland)
• Original Assignee: Publigroupe Limited (Government of Switzerland)
• Inventors: Sarrasin, Maurice, Vuattoux, Jean-Luc, Rey, Didier, Brouze, Gabriel-Antoine, Durand, Didier
• Application Number:
  US10/982,754
• Publication Number:
  US 20050165642A1
• Time in Patent Office: Days
• US Class Current: 705/14.720
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising
• CPC Class Codes: G06Q 30/0276 Advertisement creation

Abstract

Method for preparing classified advertisements for publication in printed media, comprising the steps of:

• • capturing (112) at least the textual content (30) of each classified advertisement expressed in natural language,
  • automatically classifying and extracting (120-124) a plurality of data units (480) out of said textual content (30) and storing each data unit into a corresponding field of a record (48) in an electronic database (9), using said database for determining the textual content, the layout and/or the position of the classified advertisement in said printed media.

Claims

1. A method for preparing classified advertisements for publication in printed media such as newspapers and magazines, comprising the steps of:

capturing from an advertisement order at least the textual content of each classified advertisement,

automatically extracting a plurality of data units out of said textual content and storing each data unit into a corresponding field of a record in an advertisement database,

controlling the textual content and/or the layout and/or the position of the classified advertisements in said printed media based on the content of said advertisement database.

2. The method of claim 1, wherein said textual content is expressed in natural language.

3. The method of claim 1, further comprising a step of adding to classified advertisements additional information from said advertisement database.

4. The method of claim 1, further comprising a step of automatic determination of the language of said textual content.

5. The method of claim 1, further comprising a step of spelling check of said textual content.

6. The method of claim 1, said extracting step including a preliminary step of automatically classifying advertisements into predetermined advertisement categories.

7. The method of claim 1, said extracting step including a step of automatically labeling said textual content, in order to segment said textual content into said data units and to identify said fields they have to be associated with.

8. The method of claim 7, wherein said step of labeling is performed using a lexicon depending on said advertisement category.

9. The method of claim 1, wherein said step of labeling is performed using predetermined syntactic and/or semantic rules.

10. The method of claim 8, further comprising the step of adapting said lexicon and/or said rules when new advertisements have been captured.

11. The method of claim 7, wherein said step of labeling is performed using the format, position and/or layout of the classified advertisements.

12. The method of claim 1, including a step of normalizing said data units in order to store similar data in a similar way.

13. The method claim 1, including a step of informing the advertising customer if mandatory data units are missing or if the data are expressed in a way which is hard to understand.

14. The method of claim 1, wherein the final form of the textual content adapted to publication requirement, the layout and/or the position of said classified advertisements depends on data units in said database previously extracted out of the textual content of previous advertisements.

15. The method of claim 1, wherein said electronic database includes data units extracted out of classified advertisements published on online media.

16. The method of claim 1, including a step of entering said textual content into a remote processing system and transmitting said textual content over a telecommunication network to said database.

17. The method of claim 1, wherein said advertisements are captured by scanning advertisements or advertisement orders and by analyzing the resulting bitmaps using pattern recognition or optical character-recognition techniques.

18. The method of claim 1, wherein advertisement orders are entered with a voice and/or DTMF recognition system, and wherein said textual content is captured from the data entered with said system.

19. The method of claim 1, wherein advertisement orders are entered with a voice and/or DTMF recognition system, and wherein said textual content is captured from the data entered with said system.

20. The method of claim 1, wherein the textual content of previous classified advertisements is used for assisting the user when unrealistic values are stored in the data units stored in at least one of said fields.

21. The method of claim 20, wherein the price proposed in each said classified advertisements is compared with the price indicated in previous classified advertisements for similar items in said advertisement database, a feedback being sent to the advertising customer when the price proposed in the new classified advertisement is not in a given relation with the price indicated in previous classified advertisements for similar items.

22. The method of claim 1, wherein the integrity of each data unit is verified either by itself or using rules implying other data units

23. The method of claim 12, wherein said normalizing step is based on canonic lexica.

24. The method of claim 1, wherein a content analysis is performed on said textual content for filtering out unwanted classified advertisements.

25. The method of claim 1, wherein the textual content of previous classified advertisements is used for preparing a guided translation of the new classified advertisement.

26. The method of claim 1, wherein a plurality of classified advertisements successively captured are sorted according to at least one of said fields and published in that order in the same edition of the same media.

27. The method of claim 1, further comprising a step of providing the advertising customer with extra information about his classified advertisement.

28. The method of claim 1, further comprising a step of computing statistics from sets of extracted classified advertisements

29. The method of claim 1, further comprising a step of automatically matching corresponding “

want advertisements”

with “

sell advertisements”

.

30. The method of claim 1, further comprising a step of converting at least one of said records in said advertisement database into speech with a text-to-speech conversion module.

31. The method of claim 1, wherein said textual content and said layout both depend on said content of said advertisement database.

46. A computer program product stored on a computer-usable medium comprising computer-readable program means for causing said computer to perform the steps of claim 1.

32. A method for preparing classified advertisements for publication in printed media such as newspapers and magazines, comprising the steps of:

capturing from an advertisement order at least the textual content of each classified advertisement,

automatically segmenting said textual content into data units,

controlling the textual content and/or the layout and/or the position of the classified advertisements in said printed media based on the content of said advertisement database.

33. The method of claim 32, further comprising a step of automatically classifying advertisements into predetermined advertisement categories.

34. The method of claim 33, wherein a lexicon depending on said advertisement category is used for preparing the advertisement,

said method further comprising the step of adapting said lexicon when new advertisements have been captured.

35. The method claim 32, including a step of informing the advertising customer if mandatory data units are missing or if the data are expressed in a way which is hard to understand.

36. The method of claim 32, wherein the final form of the textual content adapted to publication requirement, the layout and/or the position of said classified advertisements depends on data units in said database previously extracted out of the textual content of previous advertisements.

37. A method for establishing statistics and/or reports on classified advertisements, comprising the steps of:

capturing at least the textual content of a plurality of classified advertisements expressed in natural language by a plurality of advertising customers in an electronic processing system,

automatically classifying advertisements into predetermined advertisement categories

automatically extracting data units out of said textual content and storing said data units into a record comprising a set of predetermined fields in an advertisement database, said step of extracting comprising a step of labeling being performed using a lexicon depending on said advertisement category establishing said statistics and/or reports from said electronic database.

38. The method of claim 37, further comprising the step of adapting said lexicon and/or said rules when new advertisements have been captured.

39. The method of claim 37, wherein said step of labeling is performed using the format, position and/or layout of the classified advertisements.

40. The method of claim 37, wherein said advertisements are captured by scanning advertisement or advertisement orders and by analyzing the resulting bitmaps using pattern recognition or optical-character recognition techniques.

41. The method of claim 37, wherein said advertisements are captured by a voice and/or DTMF recognition system.

42. The method of claim 37, wherein said advertisements are captured with an online form.

43. A data processing system for processing classified advertisements for publishing in printed media, comprising:

an extracting module for automatically extracting a plurality of data units out of the textual content of classified advertisement orders entered in natural language from a plurality of advertising customers,

a database for storing said data units in a corresponding plurality of fields of a record, a plurality of predefined queries being stored in said database for controlling the textual content, layout and/or position of said classified advertisement in said printed media.

44. The data processing system of claim 43, further comprising advertisement order receiving means for receiving classified advertisement orders from a plurality of advertising customers, wherein said order receiving means is adapted to display to said advertising customers information depending on data units in said database previously extracted out of the textual content of previous advertisements.

45. The data processing system of claim 44, further comprising means for sending extracted data units to a plurality of different publishers selected by said advertising customer.