Shopping context engine

1. A method, including:

using a data processor to receive context data associated with a context and a user, the context data including information indicative of a category of offerings in a network-based marketplace, the context data identifying at least one category of products or services;

automatically discovering context attributes associated with the context, the context attributes being automatically discovered by processing attribute data received from a plurality of other users, the attribute data being related to the at least one category of products or services;

associating the context data and the context attributes with a user identifier corresponding to the user;

retrieving data associated with the context; and

filtering the data according to the context data and the context attributes to create result data relevant to the user identified by the user identifier, the filtering including filtering the result data according to one or more ratings associated with products or services included in the result data.

2. The method of claim 1 , wherein the receiving of the context data includes receiving at least one from a group including a uniform resource locator, a notation, a product identifier, a service identifier, one or more rules, and a context attribute.

3. The method of claim 1 , wherein the context is from a group including a product and a service.

4. The method of claim 1 wherein the result data associated with the context includes at least one from a group including a review list, a recommendation list, research from other users, research from the user, a seller list, and a buyer list.

5. The method of claim 1 , including grouping the result data according to a context data identifier.

6. The method of claim 1 , further including:

receiving a rating from the user pertaining to the result data; and

filtering the result data according to the rating.

7. The method of claim 1 , including filtering the result data according to one or more ratings associated with buyers or sellers of products or services included in the result data.

8. The method of claim 1 , including filtering the result data according to geographic data associated with the user when the context is a service.

9. The method of claim 1 , further including:

associating an advertisement from a third party pertaining to a context; and

providing the advertisement to a user interface of the user.

10. The method of claim 1 , including selectively providing at least a portion of the context data and the context attributes associated with the user to another user based on one or more rules.

11. The method of claim 1 , including selectively updating the result data based on receiving new data associated with the context.

12. A system, comprising:

a processor;

a memory coupled to the processor for storing context data;

a context module to receive from a client, context data associated with a context and a user, the context data including information indicative of a category of offerings in a network-based marketplace, the context data identifying at least one category of products or services, the context module further to automatically discover context attributes associated with the context, the context attributes being automatically discovered by processing attribute data received from a plurality of other users, the attribute data being related to the at least one category of products or services, and the context module to associate the context data and the context attributes with a user identifier corresponding to the user;

a filtering module to retrieve data associated with the context and to filter the data according to the context data and the context attributes, the filtering module being further configured to filter the data according to one or more ratings associated with products or services included in the result data; and

a results module to create result data relevant to the user identified by the user identifier and to communicate the result data to the client, the context module, the filtering module, and the results module being executable by the processor.

13. The system of claim 12 , wherein the context module to receive context data from a group including a uniform resource locator, a notation, a product identifier, a service identifier, one or more rules, and a context attribute.

14. The system of claim 12 , wherein the results module is to group the result data according to a context data identifier.

15. The system of claim 12 , further including:

a rating module to receive a rating from the user pertaining to the result data; and

the filtering module is to filter the result data according to the rating.

16. The system of claim 12 , wherein the filtering module to filter the result data according to one or more ratings associated with buyers or sellers of products or services included in the result data.

17. The system of claim 12 , wherein the filtering module to filter the result data according to geographic data associated with the user when the context is a service.

18. The system of claim 12 , wherein the results module is to associate an advertisement from a third party pertaining to a context and to provide the advertisement to a user interface of the user.

19. The system of claim 12 , wherein the filtering module to provide a selectable portion of the context data and the context attributes associated with the user to another user based on a one or more rules.

20. The system of claim 12 , wherein the results module is to selectively update the result data based on receiving new data associated with the context.

21. A machine-readable data storage medium embodying instructions which, when executed by a machine, cause the machine to:

receive context data associated with a context and a user, the context data including information indicative of a category of offerings in a network-based marketplace, the context data identifying at least one category of products or services;

automatically discover context attributes associated with the context, the context attributes being automatically discovered by processing attribute data received from a plurality of other users, the attribute data being related to the at least one category of products or services;

associate the context data and the context attributes with a user identifier corresponding to the user;

retrieve data associated with the context; and

filter the data according to the context data and the context attributes to create result data relevant to the user identified by the user identifier, the filtering including filtering the result data according to one or more ratings associated with products or services included in the result data.