COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR ENABLING THE AUTOMATED SELECTION OF KEYWORDS FOR RAPID KEYWORD PORTFOLIO EXPANSION

Abstract

A computer-implemented method and system for enabling the automated selection of keywords for rapid keyword portfolio expansion are disclosed. Various embodiments are operable to normalize a plurality of keywords received from a source, filter the normalized plurality of keywords against one or more keyword filtration lists, produce site-specific variants of the filtered plurality of keywords, associate at least one level of dimension data with each of the plurality of keywords, and store the processed plurality of keywords and dimension data in a keyword database.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

Embodiments illustrated by way of example and not limitation in the figures of the accompanying drawings, in which:

FIG. 1 is a block diagram of a network system on which an embodiment may operate.

FIGS. 2 a and 2b are a block diagram of a computer system on which an embodiment may operate.

FIG. 3 illustrates the structure and components of the Keyword Testing Complex of one embodiment.

FIG. 4 illustrates the structure and flow of the keyword scrubbing module of one embodiment.

FIG. 5 illustrates an example of the metrics processed by the keyword aggregator of one embodiment.

Claims

1. A computer-implemented method comprising: normalizing a plurality of keywords received from a source;filtering the normalized plurality of keywords against one or more keyword filtration lists;producing site-specific variants of the filtered plurality of keywords;associating at least one level of dimension data with each of the plurality of keywords; andstoring the processed plurality of keywords and dimension data in a keyword database.

2. The method as claimed in claim 1 wherein the one or more keyword filtration lists includes a blacklist.

3. The method as claimed in claim 1 wherein the one or more keyword filtration lists includes a whitelist.

4. The method as claimed in claim 1 wherein the site-specific variants of the filtered plurality of keywords are based on a site-specific canonical form application programming interface.

5. The method as claimed in claim 1 wherein the at least one level of dimension data includes global keyword dimension data.

6. The method as claimed in claim 1 wherein the at least one level of dimension data includes keyword traffic dimension data.

7. The method as claimed in claim 1 wherein the at least one level of dimension data includes keyword clustering dimension data.

8. The method as claimed in claim 1 wherein the at least one level of dimension data includes keyword source-specific dimension data.

9. The method as claimed in claim 1 further including associating with a keyword prediction criteria useful to predict keywords that are likely to be valuable.

10. The method as claimed in claim 1 further including pruning keywords from the keyword database that are not likely to be valuable.

11. An article of manufacture comprising at least one machine readable storage medium having one or more computer programs stored thereon and operable on one or more computing systems to: normalize a plurality of keywords received from a source;filter the normalized plurality of keywords against one or more keyword filtration lists;produce site-specific variants of the filtered plurality of keywords;associate at least one level of dimension data with each of the plurality of keywords; andstore the processed plurality of keywords and dimension data in a keyword database.

12. The article of manufacture as claimed in claim 11 wherein the one or more keyword filtration lists includes a blacklist.

13. The article of manufacture as claimed in claim 11 wherein the one or more keyword filtration lists includes a whitelist.

14. The article of manufacture as claimed in claim 11 wherein the site-specific variants of the filtered plurality of keywords are based on a site-specific canonical form application programming interface.

15. The article of manufacture as claimed in claim 11 wherein the at least one level of dimension data includes global keyword dimension data.

16. The article of manufacture as claimed in claim 11 wherein the at least one level of dimension data includes keyword traffic dimension data.

17. The article of manufacture as claimed in claim 11 wherein the at least one level of dimension data includes keyword clustering dimension data.

18. The article of manufacture as claimed in claim 11 wherein the at least one level of dimension data includes keyword source-specific dimension data.

19. The article of manufacture as claimed in claim 11 being further operable to associate with a keyword prediction criteria useful to predict keywords that are likely to be valuable.

20. The article of manufacture as claimed in claim 11 being further operable to prune keywords from the keyword database that are not likely to be valuable.

21. A system comprising: a processor;a memory coupled to the processor to store information related to keywords; anda keyword selection module, operably coupled with the processor and the memory, operable to normalize a plurality of keywords received from a source, filter the normalized plurality of keywords against one or more keyword filtration lists, produce site-specific variants of the filtered plurality of keywords, associate at least one level of dimension data with each of the plurality of keywords, and store the processed plurality of keywords and dimension data in a keyword database.

22. The system as claimed in claim 21 wherein the one or more keyword filtration lists includes a blacklist.

23. The system as claimed in claim 21 wherein the one or more keyword filtration lists includes a whitelist.

24. The system as claimed in claim 21 wherein the site-specific variants of the filtered plurality of keywords are based on a site-specific canonical form application programming interface.

25. The system as claimed in claim 21 wherein the at least one level of dimension data includes global keyword dimension data.

26. The system as claimed in claim 21 wherein the at least one level of dimension data includes keyword traffic dimension data.

27. The system as claimed in claim 21 wherein the at least one level of dimension data includes keyword clustering dimension data.

28. The system as claimed in claim 21 wherein the at least one level of dimension data includes keyword source-specific dimension data.

29. The system as claimed in claim 21 being further operable to associate with a keyword prediction criteria useful to predict keywords that are likely to be valuable.

30. The system as claimed in claim 21 being further operable to prune keywords from the keyword database that are not likely to be valuable.