Abstract:
At present, recommender systems are emerging
as a growing application and research field in several domains
of computing research, from artificial intelligence to
information systems. In the past, these systems have been
primarily used to reduce information overload and to identify
the items that are of interest to the user more precisely.
Recommender systems development is a complex task, on the
other hand, abstraction and modularity are powerful concepts
for handling the complexity of software development,
especially if the problem domain is particularly complex,
changeable, or large scale. This paper presents our attempt to
reduce the complexity of recommender systems development
via using software architecture concepts as well as multi agent
system.
