INTERACTIVE CALENDAR OF SCHEDULED WEB-BASED EVENTS

• US 20110225015A1
• Filed: 03/14/2011
• Published: 09/15/2011
• Est. Priority Date: 03/12/2010
• Status: Abandoned Application

• Current Assignee: Live Matrix, Inc. (FOTV Media Networks Inc.)
• Original Assignee: Live Matrix, Inc. (FOTV Media Networks Inc.)
• Inventors: Fereira, Edgar, Reddy, Pingle Sanjay, Batton, Tobias, Spivack, Nova
• Application Number:
  US13/047,607
• Publication Number:
  US 20110225015A1
• Time in Patent Office: Days
• US Class Current: 705/7.24
• CPC Class Codes: G06Q 10/06314 Calendaring for a resource
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0252 based on events or environment, e.g. weather or festivals
• CPC Class Codes: G06Q 30/0263 based upon Internet or website rating

Abstract

A system for generating an interactive calendar guide to scheduled online events is described. The guide can be presented in any format, including a grid view and a list view, within various media, including at a website hosting the interactive guide and as a widget on a computer display. A user can interact with elements of the guide, select elements of the guide for more information, customize events presented in the guide, filter the results displayed in the guide, send a response to attend an event, go directly to an event from the guide, and modify the presentation format of the guide.

Claims

1. An system, comprising:

an event profile database configured to store data relating to a plurality of online events;

an event provider module configured to receive first data about online events from a plurality of event providers, wherein the first data is stored in the event profile database;

a web mining module configured to search for second data about online events on the World Wide Web, wherein the second data is stored in the event profile database;

a display module configured to present to a user at least some of the first data and the second data stored in the event profile database in an organized format as an interactive guide;

a response module configured to receive input from the user pertaining to the interactive guide and to respond to the input, wherein the input effects a content or format of the presented interactive guide.

2. The system of claim 1, wherein the data stored in the event profile database includes a location of an online event, a time parameter of the online event, and metadata pertaining to the online event.

3. The system of claim 1, further comprising a widget module configured to receive widget customization parameters and generate code for a customized widget to enable the interactive guide to be installed and executed within a web page.

4. The system of claim 1, further comprising:

a temporal index database configured to store indices of online events, wherein the indices include an internet address of an online event, time information for the online event, metadata pertaining to the online event, wherein at least some of the indices are obtained from the event profile database;

a predictive analytics module configured to generate a score for an online event based upon the online event'"'"'s indices, wherein the score is an indicator of present demand for the online event and future attendance of the online event.

5. The system of claim 4, wherein the score is used to dynamically determine or predict a price for advertising inventory to be displayed with the interactive guide.

6. The system of claim 4, wherein the score is used dynamically determine or predict a price of admission tickets to the online event.

7. The system of claim 4, further comprising:

an advertisements database configured to store advertisements and advertisement pricing information,

an advertising module configured to receive advertisements from the advertisement database for placement in the interactive guide and use predictive analytics data to optimize advertising campaigns.

8. The system of claim 7, wherein the organized format is a grid format, rows represent content channels, and columns represent time slots, and further wherein an advertisement is placed within one or more rows in the grid.

9. The system of claim 7, further comprising an application programming interface (API), wherein the API enables parties to access the data in the event profile database, buy or sell advertising within the interactive guide, and administer advertising campaigns within interactive guide content.

10. The system of claim 4, wherein the input from the user is a command to send a response indicating intent to attend a particular online event, and the response is stored in the temporal index database.

11. The system of claim 1, wherein the organized format of the interactive guide is a grid, list, or timeline.

12. The system of claim 1, wherein the input from the user is a command to search for online events related to a specified topic.

13. The system of claim 1, wherein the input from the user is a command to add an event to the user'"'"'s personal events.

14. The system of claim 1, wherein the input from the user is a command to sort the presented data.

15. A method, comprising:

acquiring data pertaining to online events;

causing to be displayed on a user'"'"'s display the acquired data in a first format as an interactive guide, wherein a user can send a request relating to displayed content or format of the interactive guide;

receiving the user'"'"'s request;

responding to the user'"'"'s request.

16. The method of claim 15, wherein the acquired data includes an online location for an event, a time for the event, and metadata about the event.

17. The method of claim 15, wherein acquiring data comprises receiving a first data from event providers and searching the Web for a second data.

18. The method of claim 15, further comprising receiving advertisements for placement in the interactive guide.

19. The method of claim 18, further comprising:

receiving advertising data from advertisers;

creating a temporal index from the acquired data and the advertising data;

generating from the temporal index and advertising data analytics data pertaining to audience demand and attendance for online events;

selecting placements for the advertisements in the interactive guide based upon the analytics data.

20. The method of claim 19, wherein advertising data includes advertisement inventory pricing and a target audience.

21. The method of claim 19, wherein the user'"'"'s request includes one of the following:

selecting one or more elements of the displayed data to obtain related data;

changing the first format of the displayed data;

requesting data related a specified topic;

selecting a standard category of online event to be displayed;

going to a selected online event; and

requesting a reminder for a particular online event; and

intent to attend a selected online event.

22. A method, comprising:

compiling by a server a temporal index database configured to store indices of online events;

using a predictive model by the server to generate a predictive score for an online event over time using the predictive model and indices from the temporal index database;

correlating by the server the predictive score with an actual score;

modifying by the server the predictive model based upon the correlation,

using the modified predictive model by the server to dynamically price tickets and advertising for future online events.

23. The method of claim 22, wherein the indices include an internet address of an online event, time information for the online event, metadata pertaining to the online event.

24. The method of claim 22, wherein generating predictive scores comprises using information about a first number of people who send a response in advance for attending the online event, a second number of people who have viewed information about the online event, a third number of people who have clicked to go to a web page where the online event occurs, a fourth number of people who have shared or discussed the online event with others, a first rate at which responses are received in advance for attending the online event, and a second rate at which visits are made to the online event.

25. The method of claim 22, wherein modifying the predictive model comprises using machine learning.

26. The method of claim 22, wherein modifying the predictive model comprises using statistical models.

27. The method of claim 22, wherein modifying the predictive model comprises using genetic algorithms.

28. A method, comprising:

compiling by a server a temporal index database configured to store indices of online events;

using predictive analytics about historical and projected attendance to an online event by the server to dynamically target ticket prices as a function of time for the online event;

selling by the server tickets to the online event based upon dynamic pricing.

29. A method, comprising:

compiling by a server a temporal index database configured to store indices of online events;

using predictive analytics about historical and projected attendance to an online event and information about people who sent a response indicating intent to attend the event by the server to geotarget an audience for the online event;

targeting by the server an online advertising campaign based upon the geotargeting information.

30. The method of claim 29, wherein the information about people who sent a response comprises internet protocol (IP) addresses of the people.

31. The method of claim 29, further comprising targeting the online advertising campaign further based upon other criteria.

32. The method of claim 31, wherein the other criteria include targeted keywords, targeted inventory on particular webpages, targeted audience demographics, and user profiles.

33. The method of claim 29, wherein targeting online advertising campaigns comprises scheduling the advertising campaign to occur at an exact time, within time ranges, during specified time periods, at a first set of pre-set periods preceding an online event, at a second set of pre-set periods during an online event, at a third set of pre-sent periods after an online event, during a particular targeted online event, during online events with specified attributes, or during online events that appeal to a particular audience demographic.

34. The method of claim 33, wherein the advertising campaign is adjusted to run at an equivalent specified time in different time zones.

35. A computer-readable medium encoded with processing instructions for implementing a method performed by a computer, the method comprising:

acquiring data pertaining to online events;

causing to be displayed on a user'"'"'s display the acquired data in a first format as an interactive guide, wherein a user can send a request relating to displayed content or format of the interactive guide;

receiving the user'"'"'s request;

responding to the user'"'"'s request.

36. The compute-readable medium of claim 35, further comprising:

receiving advertising data from advertisers;

creating a temporal index from the acquired data and the advertising data;

generating from the temporal index and advertising data analytics data pertaining to audience demand and attendance for online events;

selecting placements for the advertisements in the interactive guide based upon the analytics data.