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Browse Prior Art Database

User Cuing using Hypernet Traffic Statistics

IP.com Disclosure Number: IPCOM000104770D
Original Publication Date: 1993-May-01
Included in the Prior Art Database: 2005-Mar-19
Document File: 1 page(s) / 42K

Publishing Venue

IBM

Related People

Eisen, IR: AUTHOR [+2]

Abstract

The traditional hypertext documents, as implemented today, make no distinction between different links. It is really up to the user to traverse a link which may appear to be leading to something interesting and explore the connecting information node himself. Often, the information content at the other end is not of much substance.

This text was extracted from an ASCII text file.
This is the abbreviated version, containing approximately 74% of the total text.

User Cuing using Hypernet Traffic Statistics

      The traditional hypertext documents, as implemented today, make
no distinction between different links.  It is really up to the user
to traverse a link which may appear to be leading to something
interesting and explore the connecting information node himself.
Often, the information content at the other end is not of much
substance.

      An End User Interfacr (EUI) concept and an improved hypertext
design are needed which can overcome this handicap.

      This invention proposes a daemon process which is part of the
software infrastructure which continually tracks the usage of the
hyperlinks in a document.  Specifically, this process keeps a
cumulative count of the number of times each link is traversed and
the amount of time spent in the corresponding end node.  These
statistics which in essence 'travel with the document' are used to
implement a certain end user construct.

      This construct proposes that each link marker, which typically
is represented by a character following the key word (or
alternatively is identified by high-lighting the keyword), be
displayed with a varying degree of intensity.  This intensity will be
roughly proportional to the usage of the corresponding link.  For
example, a heavily travelled link marker will be identified by a
significantly darker link marker than a less travelled one.

      This will serve as a visual clue to the user.  For a novice
user, the expl...