Dynamic categories

1. A system for dynamic categories, comprising:

a processor configured to:

receive user context data, wherein the user context data includes demographic information, psychographic information, geographic information, behavioral preferences, content type, or any combination thereof, and wherein the receiving of the user context data comprises to:

weigh a first piece of user context data by a first weight to obtain a first weighted piece of user context data; and

weigh a second piece of user context data by a second weight to obtain a second weighted piece of user context data, the first weight being different from the second weight, the first weight and the second weight both relating to subscriber configuration input; and

dynamically determine a plurality of categories for a user based on the first and second weighted pieces of user context data, wherein the plurality of categories is for categorizing content on a web site, wherein the dynamically determining of the plurality of categories for the user comprises to:

dynamically generate a plurality of synthesized categories for the user based on the user context data, the plurality of synthesized categories includes a synthesized category relating to a combination of a plurality of different content type preferences, a content type preference including content preferred by a user or aggregate of users on a merchant's web site, the content preferred including brand, size, type of merchandise, an absence of user indicated content preference, or a preference of user indicated content preference, wherein at least one synthesized category of the plurality of synthesized categories includes each content type preference of the plurality of different content type preferences, wherein the generating of a synthesized category comprises to:

synthesize the synthesized category based on a user interest tuple, the user interest tuple including a plurality of user interests associated with the user;

rank the generated plurality of synthesized categories; and

select the plurality of categories based at least in part on the ranked plurality of synthesized categories, comprising to:

select a first synthesized category or a second synthesized category depending on whether the user is a first user or a second user, respectively, the first synthesized category being different from the second synthesized category; and

a memory coupled to the processor and configured to provide the processor with instructions.

2. The system recited in claim 1 , wherein the user context data is based on monitored user behavior on the web site.

3. The system recited in claim 1 , wherein one or more of the plurality of categories includes an existing category on the web site.

4. The system recited in claim 1 , wherein the user context data is based on monitored user behavior on the web site, and wherein one or more monitored behaviors are tracked using a pixel log.

5. The system recited in claim 1 , wherein the processor is further configured to:

send the dynamically determined plurality of categories for the user based on the user context data to the web site.

6. The system recited in claim 1 , wherein the processor is further configured to:

send the dynamically determined plurality of categories for the user based on the user context data to the web site, wherein the web site presents at least one of the dynamically determined plurality of categories.

7. The system recited in claim 1 , wherein the processor is further configured to:

present at least one of the dynamically determined plurality of categories for the user based on the user context data.

8. The system recited in claim 1 , wherein the plurality of different content type preferences includes three or more content type preferences.

9. A method of dynamic categories, comprising:

receiving user context data, wherein the user context data includes demographic information, psychographic information, geographic information, behavioral preferences, content type, or any combination thereof, and wherein the receiving of the user context data comprises:

weighing a first piece of user context data by a first weight to obtain a first weighted piece of user context date; and

weighing a second piece of user context data by a second weight to obtain a second weighted piece of user context data, the first weight being different from the second weight, the first weight and the second weight both relating to subscriber configuration input; and

dynamically determining a plurality of categories for a user based on the first and second weighted pieces of user context data, wherein the plurality of categories is for categorizing content on a web site, wherein the dynamically determining of the plurality of categories for the user comprises:

dynamically generating a plurality of synthesized categories for the user based on the user context data, the plurality of synthesized categories includes a synthesized category relating to a combination of a plurality of different content type preferences, a content type preference including content preferred by a user or aggregate of users on a merchant's web site, the content preferred including brand, size, type of merchandise, an absence of user indicated content preference, or a preference of user indicated content preference, wherein at least one synthesized category of the plurality of synthesized categories includes each content type preference of the plurality of different content type preferences, wherein the generating of a synthesized category comprises:

synthesizing the synthesized category based on a user interest tuple, the user interest tuple including a plurality of user interests associated with the user;

ranking the generated plurality of synthesized categories; and

selecting the plurality of categories based at least in part on the ranked plurality of synthesized categories, comprising:

selecting a first synthesized category or a second synthesized category depending on whether the user is a first user or a second user, respectively, the first synthesized category being different from the second synthesized category.

10. The method of claim 9 , wherein the user context data is based on monitored user behavior on the web site.

11. The method of claim 9 , wherein one or more of the plurality of categories includes an existing category on the web site.

12. A computer program product for dynamic categories, the computer program product being embodied in a non-transitory, tangible computer readable storage medium and comprising computer instructions for:

receiving user context data, wherein the user context data includes demographic information, psychographic information, geographic information, behavioral preferences, content type, or any combination thereof, and wherein the receiving of the user context data comprises:

weighing a first piece of user context data by a first weight to obtain a first weighted piece of user context data; and

weighing a second piece of user context data by a second weight to obtain a second weighted piece of user context data, the first weight being different from the second weight, the first weight and the second weight both relating to subscriber configuration input; and

dynamically determining a plurality of categories for a user based on the first and second weighted pieces of user context data, wherein the plurality of categories is for categorizing content on a web site, wherein the dynamically determining of the plurality of categories for the user comprises:

dynamically generating a plurality of synthesized categories for the user based on the user context data, the plurality of synthesized categories includes a synthesized category relating to a combination of a plurality of different content type preferences, a content type preference including content preferred by a user or aggregate of users on a merchant's web site, the content preferred including brand, size, type of merchandise, an absence of user indicated content preference, or a preference of user indicated content preference, wherein at least one synthesized category of the plurality of synthesized categories includes each content type preference of the plurality of different content type preferences, wherein the generating of a synthesized category comprises:

synthesizing the synthesized category based on a user interest tuple, the user interest tuple including a plurality of user interests associated with the user;

ranking the generated plurality of synthesized categories; and

selecting the plurality of categories based at least in part on the ranked plurality of synthesized categories, comprising:

selecting a first synthesized category or a second synthesized category depending on whether the user is a first user or a second user, respectively, the first synthesized category being different from the second synthesized category.

13. The computer program product recited in claim 12 , wherein the user context data is based on monitored user behavior on the web site.

14. The computer program product recited in claim 12 , wherein one or more of the plurality of categories includes an existing category on the web site.