Personalisation
A role defines a group of activities-and the data and functions corresponding to
those activities-carried out by a person to achieve a desired business aim. A role
determines how a business process will be carried out and how this process will lead to
the attainment of a particular business aim. The roles determine interface layouts,
services, information, and applications required for each user. Roles are flexible and can
be changed easily. The role concept is extended further by personalisation.
Personalisation can determine the page layout, the look and feel of the portal, and even
which information users receive and how they receive it. The role concept ensures that the
users get the information most pertinent to them, while personalisation means they receive
the information in the format most suitable for them. There are three ways to define
personalization :
Personalisation at the administrator level : Administrators can define
personalisation for each user by setting the design of the portal structure for
different users. Administrator can define roles, work sets, portal layout, and access
methods for different users.
Personalisation at the user level : Users can personalise their content within the control
limits set by the administrator.
Automatic personalisation through predictive technology : Predictive technology allows
for automatic personalisation based on user type, browser type, device type, user location
(whether inside or outside the firewall), connection bandwidth, and the type of event
being handled.
4.10. Collaborative filtering
Collaborative filtering (CF) is the method of making automatic predictions
(filtering) about the interests of a user by collecting taste information from many users
(collaborating). The underlying assumption of CF approach is that, those who agreed in
the past tend will agree again in the future also. For example, a collaborative
filtering or recommendation system for music tastes could make predictions about
which music a user should like given a partial list of that user's tastes (likes or dislikes).
4.10.1. History
