Abstract:
Information overloading is a well-known issue across many domain. This problem
is also pertinent in spatial domain. The issue can be resolved through recommendation
and personalization techniques. Recommendation is an established approach
in several domains including tourism. The proposed study is aimed for tourism in
particular comparing individual versus stereotype user’s models through simulation
of implicit as well as explicit user profiling by utilizing Spatial Agent Based Modeling.
The Agent Based Modeling technique is employed with recommender system
to cater information overloading problem in tourism. The work presented in this
thesis presents a proof of concept where Spatial Agent based modeling can help in
decision making. The results show that the recommendations done through individual
user modeling are less accurate then dynamic stereotype user modeling. In
Pakistan’s context work on agent based modeling as well as recommender system
is remain unexplored. However this work can be a foundation step for other domains
of application in Pakistan. This research area has its own importance due
to its power of handling information overloading by using recommender as well as
performing any type of mimic experiment using agent based modeling.
