# US 2016/0078119 A1 · System and method for generating content corresponding to an event

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- Number: US 2016/0078119 A1
- Document ID: US20160078119A1
- Status: Published application
- Kind: A1
- Application number: 14/487,801
- Filed: 2014-09-16
- Published: 2016-03-17
- Earliest claimed: 2014-09-16
- Assignees: International Business Machines Corporation
- Applicants: International Business Machines Corporation
- Inventors: Aleksandr Y. Aravkin; Carlos H. Cardonha; Sasha P. Caskey; Dimitri Kanevsky; Tara N. Sainath
- Web page: https://patentgrep.com/patent/US20160078119A1

## CPC

- G06F 16/285: {Clustering or classification}
- H04L 67/535: {Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34)}
- H04L 67/12: specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)

## Abstract

Systems and methods for generating content corresponding to an event are provided. A method for generating content corresponding to an event, comprises defining a plurality of sub-events of the event, classifying one or more actual occurrences in the event into one or more of the sub-events, monitoring behavior of one or more users to determine areas of the event of interest to the one or more users, linking the one or more users to the one or more classified actual occurrences based on the areas of the event of interest, and generating content for the one or more classified actual occurrences.

## Claims

### Claim 1

A method for generating content corresponding to an event, comprising:
defining a plurality of sub-events of the event;
classifying one or more actual occurrences in the event into one or more of the sub-events;
monitoring behavior of one or more users to determine areas of the event of interest to the one or more users;
linking the one or more users to the one or more classified actual occurrences based on the areas of the event of interest; and
generating content for the one or more classified actual occurrences, wherein the defining, classifying, monitoring, linking and generating steps are performed by a computer system comprising a memory and at least one processor coupled to the memory.

### Claim 2 (depends on 1)

The method according to claim 1, further comprising automatically communicating the content for the one or more classified actual occurrences to the one or more linked users.

### Claim 3 (depends on 1)

The method according to claim 1, wherein monitoring the behavior of the one or more users comprises obtaining at least one of line of sight data and gesture data for the one or more users from one or more sensors.

### Claim 4 (depends on 3)

The method according to claim 3, further comprising analyzing at least one of the line of sight data and the gesture data to determine the areas of the event of interest to the one or more users.

### Claim 5 (depends on 4)

The method according to claim 4, further comprising incorporating statistical models into the analyzing.

### Claim 6 (depends on 5)

The method according to claim 5, wherein the statistical models include at least one of an interest history of the one or more users, and data on current areas of the event of interest to multiple users.

### Claim 7 (depends on 1)

The method according to claim 1, wherein monitoring the behavior of the one or more users comprises obtaining at least one of directional data and movement data for the one or more users from an electronic device on the one or more users.

### Claim 8 (depends on 1)

The method according to claim 1, wherein monitoring the behavior of the one or more users comprises obtaining at least one of a textual input and a voice input from the one or more users to determine the areas of the event of interest to the one or more users.

### Claim 9 (depends on 1)

The method according to claim 1, wherein defining the plurality of sub-events is based on a context of the event, the plurality of sub-events including plausible occurrences during a course of the event.

### Claim 10 (depends on 1)

The method according to claim 1, further comprising tracking the one or more actual occurrences with one or more sensors, wherein the classifying includes comparing the one or more tracked actual occurrences with the plurality of sub-events.

### Claim 11

A system for generating content corresponding to an event, comprising:
a tracking module, wherein the tracking module comprises:
a sub-event tracker capable of defining a plurality of sub-events of the event, and capable of classifying one or more actual occurrences in the event into one or more of the sub-events; and
an interest tracker capable of monitoring behavior of one or more users to determine areas of the event of interest to the one or more users;
an analysis module comprising a linking module capable of linking the one or more users to the one or more classified actual occurrences based on the areas of the event of interest; and
a content generation module capable of generating content for the one or more classified actual occurrences.

### Claim 12 (depends on 11)

The system according to claim 11, further comprising an output module capable of automatically communicating the content for the one or more classified actual occurrences to the one or more linked users.

### Claim 13 (depends on 11)

The system according to claim 11, wherein the interest tracker is further capable of obtaining at least one of line of sight data and gesture data for the one or more users from one or more sensors.

### Claim 14 (depends on 13)

The system according to claim 13, wherein the analysis module is further capable of analyzing at least one of the line of sight data and the gesture data to determine the areas of the event of interest to the one or more users.

### Claim 15 (depends on 14)

The system according to claim 14, wherein the analysis module is further capable of incorporating statistical models into the analyzing.

### Claim 16 (depends on 15)

The system according to claim 15, wherein the statistical models include at least one of an interest history of the one or more users, and data on current areas of the event of interest to multiple users.

### Claim 17 (depends on 11)

The system according to claim 11, wherein the interest tracker is further capable of obtaining at least one of directional data and movement data for the one or more users from an electronic device on the one or more users.

### Claim 18 (depends on 11)

The system according to claim 11, wherein the interest tracker is further capable of obtaining at least one of a textual input and a voice input from the one or more users to determine the areas of the event of interest to the one or more users.

### Claim 19 (depends on 11)

The system according to claim 11, wherein the sub-event tracker is further capable of tracking the one or more actual occurrences using one or more sensors, and comparing the one or more tracked actual occurrences with the plurality of sub-events.

### Claim 20

A computer program product for generating content corresponding to an event, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:
defining a plurality of sub-events of the event;
classifying one or more actual occurrences in the event into one or more of the sub-events;
monitoring behavior of one or more users to determine areas of the event of interest to the one or more users;
linking the one or more users to the one or more classified actual occurrences based on the areas of the event of interest; and
generating content for the one or more classified actual occurrences.
