cyberspace service might have a prosperous future if it is at the same time timed,
priced and marketed in the right way.
Amazon.com provides an automatic product recommendation ser-
vice.
purchases by other customers to suggest products that might be
of interest to the user (user prediction). Details about the recom-
mender algorithms is described by Linden et al. [2003].
investigate two of its novel subfields:
resource constraints a mobile client device imposes (e.g. bandwidth, processing
power and memory, energy and screen-size). Some of these constraints have in
recent years been relaxed, e.g. WiFi networks for increased bandwidth and fuel
cells for increased energy and uptime, but to a large extent they are still valid,
at least compared to their wired counterparts. Based on the ElComAg project's
scope we selected to investigate how software agents can be of assistance to serve
users of mobile commerce.
to deal with the scale and complexity caused by the hundreds of thousands of
concurrent players operating in very large virtual worlds. In terms of the richness
and rapid frequency of actions performed by the players, massively multiplayer
online games are in the near future likely to dwarf the current large-scale Internet
and E-commerce systems such as Ebay, Amazon.com and Google.
customers) have a good time and do not get bored. This issue has up till now
not been adressed from a data mining viewpoint, possibly because there still are
plenty of unsolved issues related to handling the scale and complexity of MMOGs.