Determining domain expertise and providing tailored internet search results

1. A method implemented by a computer for generating search results categorized by expertise level of a user, said method comprising:

analyzing, by the computer, literature from a plurality of different domains,

building, by the computer, a corpus for literature of a domain of the plurality of domains, the corpus categorized by different levels of expertise, wherein building the corpus includes dividing a plurality of items of said literature of the domain into a first series of trigrams, bigrams, and unigrams and assigning each item of the plurality of items of said literature of the domain to a particular level of expertise from said different levels of expertise;

analyzing, by the computer, at least one keyword in a user's search query submitted to a search engine, wherein analyzing the at least one keyword includes dividing the at least one keyword into a second series of trigrams, bigrams, and unigrams;

comparing said at least one keyword with at least part of said corpus by comparing the second series of trigrams, bigrams, and unigrams with the first series of trigrams, bigrams, and unigrams and computing a closest item of said literature of the domain;

determining a user's level of expertise based on said step of comparing said at least one keyword with said at least part of said corpus and without considering a history of the user;

generating a set of search results for the search query that are weighted, at least in part, based on a correlation between said user's determined level of expertise and a respective level of expertise assigned to the closest item of said literature of the domain; and

including, in said search results, at least one product that is determined to be of interest to the user based on both the search query and the determined level of expertise of the user and without considering the history of the user.

2. The method of claim 1 , further comprising:

building, by the computer, a lexicon that is associated with said different levels of expertise;

comparing said at least one keyword with at least part of said lexicon; and

determining a user's level of expertise based, at least in part, on comparing said at least one keyword with said at least part of said lexicon.

3. The method of claim 1 , further comprising:

generating a sales promotion based on the determination of the user's level of expertise based on said step of comparing said at least one keyword with said at least part of said corpus and without considering a history of the user.

4. The method of claim 1 , further comprising:

assigning said at least one keyword in said user's search query submitted to said search engine a level of expertise prior to said step of comparing.

5. The method of claim 1 , further comprising:

comparing at least one term contained within said at least one item of said literature with said corpus, said particular level of expertise for each item defined by a complexity of prose contained in said at least one item of said literature.

6. The method of claim 2 , further comprising:

defining said lexicon based on said plurality of terms associated with said particular domain.

7. The method of claim 1 , further comprising:

presenting, to the user, an advertisement for at least one product that is determined to be of interest to the user based on both the search query and the determined level of expertise of the user without considering the history of the user.

8. A computer program product, comprising a computer readable storage device having computer readable program code stored therein, said program code containing instructions executable by a processor of a computer system to implement a method to generate expertise tailored search results, said method comprising:

analyzing, by the computer, literature from a plurality of different domains;

building, by the computer, a corpus for literature of a domain of the plurality of domains, the corpus categorized by different levels of expertise, wherein building the corpus includes dividing a plurality of items of said literature of the domain into a first series of trigrams, bigrams, and unigrams and assigning each item of the plurality of items of said literature of the domain to a particular level of expertise from said different levels of expertise;

analyzing, by the computer, at least one keyword in a user's search query submitted to a search engine, wherein analyzing the at least one keyword includes dividing the at least one keyword into a second series of trigrams, bigrams, and unigrams;

comparing said at least one keyword with at least part of said corpus by comparing the second series of trigrams, bigrams, and unigrams with the first series of trigrams, bigrams, and unigrams and computing a closest item of said literature of the domain;

determining a user's level of expertise based on said step of comparing said at least one keyword with said at least part of said corpus and without considering a history of the user;

generating a set of search results for the search query that are weighted, at least in part, based on a correlation between said user's determined level of expertise and a respective level of expertise assigned to the closest item of said literature of the domain; and

including, in said search results, at least one product that is determined to be of interest to the user based on both the search query and the determined level of expertise of the user and without considering the history of the user.

9. The computer program product of claim 8 , further comprising:

building, by the computer, a lexicon that is associated with said different levels of expertise;

comparing said at least one keyword with at least part of said lexicon; and

determining a user's level of expertise based, at least in part, on comparing said at least one keyword with said at least part of said lexicon.

10. The computer program product of claim 8 , further comprising:

generating a sales promotion based on the determination of the user's level of expertise based on said step of comparing said at least one keyword with said at least part of said corpus and without considering a history of the user.

11. The computer program product of claim 8 , further comprising:

assigning said at least one keyword in said user's search query submitted to said search engine a level of expertise prior to said step of comparing.

12. The computer program product of claim 8 , further comprising:

comparing at least one term contained within said at least one item of said literature with said corpus, said particular level of expertise for each item defined by a complexity of prose contained in said at least one item of said literature.

13. The computer program product of claim 9 , further comprising:

defining said lexicon based on said plurality of terms associated with said particular domain.

14. The computer program product of claim 8 , further comprising:

determining a domain category for said at least one keyword.

15. The computer program product of claim 8 , further comprising:

assigning a particular domain to each item of said literature from said plurality of domains.

16. The computer program product of claim 8 , further comprising:

presenting, to the user, an advertisement for at least one product that is determined to be of interest to the user based on both the search query and the determined level of expertise of the user without considering the history of the user.

17. A computer system, comprising a processor, a memory coupled to the processor, and a computer readable storage device coupled to the processor, said storage device containing program code executable by the processor via the memory to implement a method for generating search results based upon an expertise level of a user, said method comprising:

analyzing, by the computer, literature from a plurality of different domains;

building, by the computer, a database for literature of a domain of the plurality of domains, the database categorized by different levels of expertise, wherein building the database includes dividing a plurality of items of said literature of the domain into a first series of trigrams, bigrams, and unigrams and assigning each item of the plurality of items of said literature of the domain a particular level of expertise from said different levels of expertise;

analyzing, by the computer, at least one keyword in a user's search query submitted to a search engine, wherein analyzing the at least one keyword includes dividing the at least one keyword into a second series of trigrams, bigrams, and unigrams;

comparing said at least one keyword with at least part of said database by comparing the second series of trigrams, bigrams, and unigrams with the first series of trigrams, bigrams, and unigrams and computing a closest item of said literature of the domain;

determining a user's level of expertise based on said step of comparing said at least one keyword with said at least part of said database and without considering a history of the user;

generating a set of search results for the search query that are weighted, at least in part, based on a correlation between said user's determined level of expertise and a respective level of expertise assigned to the closest item of said literature of the domain;

identifying a product, the product determined to be of interest to the user based on both the search query and the determined level of expertise of the user and without considering a history of the user; and

presenting, along with the search results, at least one of the product and an advertisement for the product to the user.

18. The computer system of claim 17 , further comprising:

building, by the computer, a lexicon that is associated with said different levels of expertise;

comparing said at least one keyword with at least part of said lexicon; and

determining a user's level of expertise based, at least in part, on comparing said at least one keyword with said at least part of said lexicon.