Abstract:
Mobile phones are becoming a primary
platform for information access and when coupled
with recommender system technologies, they can
become key tools for mobile users to use both
leisure and business applications. In this
paper,this system is built upon the integration of
association rules mining and the collaborative
filtering approach as mobile hybrid
recommendation system in tourism. Also, it
provides a hybrid framework recommendation
system to be distinguishing Favorite and Non-
Favorite places. For Favorite places, the
framework straightly applies Adjusted Cosine
Similarity method based on the generated
association rules to offer recommendations for the
user; for Non-favorite places, the framework
applies Jaccard Coefficient Method to offer
recommendations. Mean Absolute Error (MAE) is
evaluated the accuracy of this mobile hybrid
recommendation system
