Research Article
A Cold Start Context-Aware Recommender System for Tour Planning Using Artificial Neural Network and Case Based Reasoning
Algorithm 1
Pseudocode of the proposed hybrid context-aware tourism recommender system.
(1) Input: CB_initial is a set of visited tours and their ratings | (2) Output: CB, net, recommendation | (3) CB = CB_initial | (4) net = Train_ANN(CB) //net is a trained ANN using CB | (5) while ~termination criteria | (6) = Reuse //System recommends the first highest | computed rated tours | (7) = User_Select() //User selects and rates one of the recommended tours | (8) E = Extract() //System extracts the first prior tours which | have maximum similarities with tour | (9) net, CB = Retain //System adapts CB and ANN | (10) end |
|