Search ranking

1. A computer-implemented method for carrying out a search, comprising:

at an e-commerce search engine, receiving a search query from a user, the search query entered by the user via a computer peripheral of a computing device;

parsing the search query into one or more search query terms, the search query terms comprising a nonessential search term and a generic identifier;

at a canonical name identifier, comparing each of the search query terms against entries in a dictionary to determine a canonical name for each generic identifier;

comparing the canonical name for each generic identifier against entries in an item index to identify a set of candidate search results;

at a results rank assessor, ranking the set of candidate search results according to relevance of the search query terms to the entries in the item index to generate a ranked search results list; and

transmitting the ranked search results list to the user.

2. The method of claim 1 , wherein the item index comprises a product index.

3. The method claim 1 , further comprising analyzing an attribute dictionary to determine a canonical name for each generic identifier.

4. The method claim 1 , wherein the nonessential search term comprises a brand name, and wherein the brand name is not used to identify a set of candidate search results and is only to rank the set of candidate search results.

5. The method claim 1 , wherein the nonessential search term comprises an item attribute, and wherein the item attribute is not used to identify a set of candidate search results.

6. The method of claim 1 , wherein ranking the set of candidate search results according to relevancy of the search query terms to the entries in the item index comprises ranking the set of candidate search results according to relevancy of the nonessential search term to the entries in the item index.

7. The method of claim 1 , wherein ranking the candidate search results is further based on an order of probability of a purchase of a product or service corresponding to the search query.

8. A computer-implemented method for carrying out a search, comprising:

at a search interface, receiving a search query string entered by a user via a computer peripheral of a computing device, the search query string comprising a nonessential search term and a generic identifier;

at a canonical name identifier, comparing each search query term in the search query string against entries in a dictionary to determine a canonical name that is associated with each generic identifier;

at a results rank assessor, comparing the canonical name for each generic identifier against entries in an item index to identify a set of candidate search results;

at the results rank assessor, ranking the candidate search results according to relevance to the search query string thereby forming a ranked search results list; and

transmitting the ranked search results list to the user.

9. The method of claim 8 , wherein the item index comprises a product index.

10. The method of claim 8 , further comprising analyzing the attribute dictionary to determine a canonical name for each generic identifier.

11. The method of claim 8 , wherein the nonessential search term comprises a brand name, and wherein the brand name is not used to identify a set of candidate search results.

12. The method of claim 8 , wherein the nonessential search term comprises an item attribute, and wherein the item attribute is not used to identify a set of candidate search results.

13. The method of claim 8 , wherein ranking the candidate search results according to relevance to the search query string comprises ranking the candidate search results according to relevance to the nonessential search term.

14. The method of claim 8 , wherein ranking the candidate search results is further based on an order of probability of a purchase of a product or service corresponding to the search query.

15. A computer system for ranking search results comprising:

a search ranking system comprising a memory and a processing device, the memory storing computer-readable instructions directing the processing device to:

receive a search query from a user computing device, the search query entered by the user via a computer peripheral of a computing device;

parse the search query into one or more search query terms, the search query terms comprising a nonessential search term and a generic identifier;

compare each of the search query terms against entries in a dictionary to determine a canonical name for each generic identifier;

compare the canonical name for each generic identifier against entries in an item index to identify a set of candidate search results;

rank the set of candidate search results according to relevancy of the search query terms to the entries in the item index to generate a ranked search results list; and

transmit the ranked search results list to the user computing device.

16. The system of claim 15 , wherein the item index comprises a product index.

17. The system of claim 15 , wherein the computer-readable instructions further direct the processing device to analyze an attribute dictionary to determine a canonical name for each generic identifier.

18. The system of claim 15 , wherein the nonessential search term comprises a brand name, and wherein the brand name is not used to identify a set of candidate search results.

19. The system of claim 15 , wherein the nonessential search term comprises an item attribute, and wherein the item attribute is not used to identify a set of candidate search results.

20. The system of claim 15 , wherein the computer-readable instructions further direct the processing device to rank the set of candidate search results according to relevancy of the nonessential search term to the entries in the item index.