COMPUTER CONFERENCING SYSTEM FOR SELECTIVELY LINKING AND UNLINKING PRIVATE PAGE WITH PUBLIC PAGE BY SELECTIVELY ACTIVATING LINKED MODE AND NON-LINKED MODE FOR EACH PARTICIPANT

Patent №

US 5,581,702

Granted

1996-12-03

Filed 1993

Owner

INTEL CORPORATION

Lab

AI components

2

nlp · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08170146

An apparatus and method for lining public and private pages in a conferencing system is disclosed. In a computer conferencing system having a plurality of participants coupled by a communication medium, a process for linking public and private pages comprises the steps of: 1) collecting public meeting information generated by any of the plurality of participants, the public meeting information including at least one public page of annotations; 2) collecting private meeting information from a local participant in which the meeting manager is resident, the private meeting information being different from the public meeting information, the private meeting information not accessible to the plurality of conference participants other than the local participant, the private meeting information including at least one private page of annotations; and 3) selectively linking the private page with the public page, the private page being implicitly accessed when the linked public page is explicitly accessed. The process further includes the steps of: 1) maintaining a public page list representing a plurality of public pages, the step of maintaining a public page list further including a step of linking the plurality of public pages together in the public page list; 2) maintaining a private page list representing a plurality of private pages, the step of maintaining a private page list further including a step of linking the plurality of private pages together in the private page list; and 3) linking pages of said public page list with pages of said private page list.

Natural languagePlanningH04L 12/1827G06Q 10/10H04L 9/40H04L 69/329

AI classification

Planning0.99
Natural language0.56
Machine learning0.07
Knowledge representation0.00
AI hardware0.00
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

INTEL CORPORATION

assignment · 68190244

Assignors

MCARDLE, BRIAN, PORTER, DAN, ROTHROCK, LEWIS V., THESSIN, TYLER R.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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