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• US 8,521,663 B1
• Filed: 05/09/2011
• Issued: 08/27/2013
• Est. Priority Date: 09/08/1999
• Status: Expired due to Fees

• Current Assignee: C4cast.com Incorporated
• Original Assignee: C4cast.com Incorporated
• Inventors: Phillips, G. Michael, Findlay, M. Chapman III, Jennings, William P., Klein, Stephen A., Rice, Mark E.
• Primary Examiner(s): Starks, Wilbert L
• Application Number:
  US13/103,742
• Time in Patent Office: 841 Days
• Field of Search: 706/12, 706/45
• US Class Current: 706/12
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• CPC Class Codes: H04L 47/83 based on usage prediction

Abstract

The value of a target variable is predicted by obtaining historical values for the target variable at each of several time points and obtaining previously predicted values and currently predicted values for each of several predictor variables, the predictor variables being different from the target variable. Values are assigned to parameters of a forecasting model to obtain the best fit of the previously predicted values for the predictor variables to the historical values for the target variable. Finally, a value of the target variable is predicted from the currently predicted values for at least a subset of the predictor variables using the forecasting model and the values assigned to the parameters of the forecasting model.

Claims

1. A computer-readable medium storing computer-executable process steps for providing items to users through a site that is available over an electronic network, said process steps comprising steps to:

(a) maintain a collection of items, wherein both the collection and the items can be accessed by users on the site over the electronic network at any given time;

(b) assign intensity values to users who are active on the site;

(c) assign points to individual items based on at least one of;

an amount of user access of said individual items over the electronic network and explicit ratings of said individual items by the users; and

(d) modify the collection based on the points assigned to the items,

wherein the points assigned to the individual items have been weighted based on the intensity values of the individual users who have at least one of accessed or explicitly rated said individual items.

2. A computer-readable medium according to claim 1, wherein the points assigned to individual items as a result of ratings from a particular user are based on a ratings history of the particular user.

3. A computer-readable medium according to claim 1, wherein the intensity values assigned to individual users are based on said individual users'"'"' activity.

4. A computer-readable medium according to claim 1, wherein point values originating from users who are deeply involved in the website are given more weight in the points assigned to said individual items than point values originating from less involved users.

5. A computer-readable medium according to claim 1, wherein a number of points assigned to a particular item when a particular user accesses the item is based upon a participation level of the particular user.

6. A computer-readable medium according to claim 1, wherein the users who are most involved with the site are given the most weight in determining the points assigned to the individual items.

7. A computer-readable medium according to claim 1, wherein the collection includes a list of the highest rated items.

8. A computer-readable medium according to claim 1, wherein the items are scored based on their value to the users.

9. A computer-readable medium according to claim 1, wherein a plurality of the items have been elevated into the collection based on a number of the points assigned to them.

10. A computer-readable medium according to claim 1, wherein the items comprise resources, and wherein said resources are provided to the users over the electronic network upon request.

11. A computer-readable medium according to claim 1, wherein the items having a worst overall rating based on assigned points are removed from the collection.

12. A computer-readable medium according to claim 1, wherein said individual items are assigned scores based on the points assigned to said individual items, and wherein the points assigned more recently are weighted more heavily in determining said scores than points assigned less recently.

13. A computer-readable medium according to claim 1, wherein the collection includes links to at least some of the items.

14. A computer-readable medium according to claim 1, wherein said process steps include steps to allow the users to rate utility of the items that they access, and wherein the points assigned to the individual items are based on said ratings.

15. A method according to claim 1, wherein the items are scored based on their value to the users.

16. A method for providing items to users through a site that is available over an electronic network, comprising:

using a computer system to

(a) maintain a collection of items, wherein both the collection and the items can be accessed by users on the site over the electronic network at any given time;

(b) assign intensity values to users who are active on the site;

(c) assign points to individual items based on at least one of;

an amount of user access of said individual items over the electronic network and explicit ratings of said individual items by the users; and

(d) modify the collection based on the points assigned to the items,

wherein the points assigned to the individual items have been weighted based on the intensity values of the individual users who have at least one of accessed or explicitly rated said individual items.

17. A method according to claim 16, wherein the points assigned to individual items as a result of ratings from a particular user are based on a ratings history of the particular user.

18. A method according to claim 16, wherein the intensity values assigned to individual users are based on said individual users'"'"' activity.

19. A method according to claim 16, wherein point values originating from users who are deeply involved in the website are given more weight in the points assigned to said individual items than point values originating from less involved users.

20. A method according to claim 16, wherein a number of points assigned to a particular item when a particular user accesses the item is based upon a participation level of the particular user.

21. A method according to claim 16, wherein the users who are most involved with the site are given the most weight in determining the points assigned to the individual items.

22. A method according to claim 16, wherein the collection includes a list of the highest rated items.

23. A method according to claim 16, wherein a plurality of the items have been elevated into the collection based on a number of the points assigned to them.

24. A method according to claim 16, wherein the items comprise resources, and wherein said resources are provided to the users over the electronic network upon request.

25. A method according to claim 16, wherein the items having a worst overall rating based on assigned points are removed from the collection.

26. A method according to claim 16, wherein said individual items are assigned scores based on the points assigned to said individual items, and wherein the points assigned more recently are weighted more heavily in determining said scores than points assigned less recently.

27. A method according to claim 16, wherein the collection includes links to at least some of the items.

28. A method according to claim 16, further comprising steps to allow the users to rate utility of the items that they access, and wherein the points assigned to the individual items are based on said ratings.