Systems and methods for identifying and managing topical content for websites

1. A computer-implemented method for providing topical content on a website for users, the method comprising the following operations performed by one or more processors:

retaining, in a database, attributes of a plurality of users, wherein the attributes comprise at least one of: an impression history, a purchase history, a conversion history, and/or user preferences;

associating a plurality of users with a plurality of factors including the attributes;

associating collected electronic content with a plurality of topics;

determining levels of popularity corresponding to combinations of the factors and the topics based on the factors including the attributes, wherein the levels of popularity include a higher level and a lower level;

receiving, from a device of a first user, a content request associated with a first one of the factors;

parsing one or more websites for content associated with the request;

caching the one or more parsed websites;

determining, based on the popularity of the topics in the higher level, one or more discounted levels of popularity corresponding to the popularity of the topics in the lower level and the first one of the factors;

managing the topical content based on the one or more discounted levels of popularity for the first one of the factors and further generating one or more content areas in which to display the topical content; and

generating instructions to present, on the website, one or more pieces of the managed topical content in the generated one or more content areas;

wherein managing the topical content comprises updating one or more navigational menus and links of the website based on the discounted levels of popularity for the first ones of the factors, and wherein generating the instructions includes generating instructions to update the one or more navigational menus and links of the website.

2. The computer-implemented method of claim 1 , wherein determining levels of popularity comprises:

receiving, from the plurality of users, selections of content from the collected electronic content; and

determining the levels of popularity, for combinations of the topics and the factors, based on the numbers of times users associated with the factors selected content associated with the topics.

3. The computer-implemented method of claim 1 , wherein determining discounted levels of popularity comprises:

identifying a second one of the factors; and

calculating the discounted levels of popularity based on (i) the levels of popularity corresponding to the combination of the topics and the first one of the factors, and (ii) the levels of popularity corresponding to the combination of the topics and the second one of the factors.

4. The computer-implemented method of claim 3 , wherein the second one of the factors encompasses the first one of the factors.

5. The computer-implemented method of claim 3 , wherein at least one of the first one of the factors and the second ones of the factors is time.

6. The computer-implemented method of claim 3 , wherein determining the discounted levels of popularity comprises calculating the discounted levels of popularity using at least one of a KL divergence or Bayes probability theorem.

7. The computer-implemented method of claim 1 , wherein generating one or more content areas in which to display the topical content further comprises dynamically generating one or more content areas on the website.

8. The computer-implemented method of claim 1 , wherein generating one or more content areas in which to display the topical content further comprises dynamically generating one or more subsections of the website.

9. The computer-implemented method of claim 1 , wherein updating the one or more navigational menus and links of the website further comprises dynamically updating a taxonomy of the website.

10. The computer-implemented method of claim 1 , wherein the factors comprise one or more of an IP address, or location-based attributes associated with the users.

11. A system for presenting topical content on a website for users, the system comprising:

at least one processor; and

a storage device storing a set of instructions, that when executed by the at least one processor, causes the at least one processor to:

retain, in a database, attributes of a plurality of users, wherein the attributes comprise at least one of: an impression history, a purchase history, a conversion history, and/or user preferences;

associate a plurality of users with a plurality of factors including the attributes;

associate collected electronic content with a plurality of topics;

determine levels of popularity corresponding to combinations of the factors and the topics based on the factors including the attributes, wherein the levels of popularity include a higher level and a lower level;

receive, from a device of a first user, a content request associated with a first one of the factors;

parsing one or more websites for content associated with the request;

caching the one or more parsed websites;

determine, based on the popularity of the topics in the higher level, discounted levels of popularity corresponding to the popularity of the topics in the lower level and the first one of the factors;

manage the topical content based on the discounted levels of popularity for the first one of the factors and further generate one or more content areas in which to display the topical content; and

generate instructions to present, on the website, one or more pieces of the managed topical content in the generated one or more content areas;

wherein managing the topical content comprises updating one or more navigational menus and links of the website based on the discounted levels of popularity for the first ones of the factors, and wherein generating the instructions includes generating instructions to update the one or more navigational menus and links of the website.

12. The system of claim 11 , wherein the instructions are further executed by the at least one processor to:

receive, from the plurality of users, selections of content from the collected electronic content; and

determine the levels of popularity, for combinations of the topics and the factors, based on the numbers of times users associated with the factors selected content associated with the topics.

13. The system of claim 11 , wherein the instructions are further executed by the at least one processor to:

determine a second one of the factors; and

calculate the discounted levels of popularity for the topics based on (i) the levels of popularity corresponding to the combination of the topics and the first one of the factors, and (ii) the levels of popularity corresponding to the combination of the topics and the second one of the factors.

14. The system of claim 13 , wherein the second one of the factors encompasses the first one of the factors.

15. The system of claim 13 , wherein at least one of the first one of the factors and the second one of the factors is time.

16. The system of claim 13 , wherein the instructions are further executed by the at least one processor to calculate the discounted levels of popularity using at least one of a KL divergence or Bayes probability theorem.

17. The system of claim 11 , wherein generating one or more content areas in which to display the topical content further comprises dynamically generating one or more content areas on the website.

18. The system of claim 11 , wherein generating one or more content areas in which to display the topical content further comprises dynamically generating one or more subsections of the website.

19. The system of claim 11 , wherein the one or more navigational menus and links of the website further comprises dynamically updating a taxonomy of the website.

20. The system of claim 11 , wherein the factors comprise one or more of an IP address, or one or more location-based attributes associated with the users.

21. A non-transitory computer-readable storage medium storing a set of instructions executable by a processor to perform a method for presenting topical content on a website for users, the method comprising:

retaining, in a database, attributes of a plurality of users, wherein the attributes comprise at least one of: an impression history, a purchase history, a conversion history, and/or user preferences;

associating a plurality of users with a plurality of factors including the attributes;

associating collected electronic content with a plurality of topics;

determining levels of popularity corresponding to combinations of the factors and the topics based on the factors including the attributes, wherein the levels of popularity include a higher level and a lower level;

receiving, from a device of a first user, a content request associated with a first one of the factors;

parsing one or more websites for content associated with the request;

caching the one or more parsed websites;

determining, based on the popularity of the topics in the higher level, one or more discounted levels of popularity corresponding to the popularity of the topics in the lower level and the first one of the factors;

managing the topical content based on the one or more discounted levels of popularity for the first one of the factors and further generating one or more content areas in which to display the topical content; and

generating instructions to present, on the website, one or more pieces of the managed topical content in the generated one or more content areas;

wherein managing the topical content comprises updating one or more navigational menus and links of the website based on the discounted levels of popularity for the first ones of the factors, and wherein generating the instructions includes generating instructions to update the one or more navigational menus and links of the website.