nowledge-based product recommender system using Prolog

The system is used by a store manager after observing what is
in a customer’s shopping cart. The system gives the manager suggestions about other products that he
could recommend to the customer. The system has two parts:
 In Part I, the system asks the manager to input what products are in the cart. Then the system (using a
Bayesian network) creates a probabilistic “customer model”. The customer model consists of variables
describing probable likes/dislikes and/or goals of the customer.
 In Part II, the system uses forward chaining rules to recommend other products.
 Sample Dialogue (user’s input in italics):
:- recommend.
Is the customer buying cheese? (y or n): y.
Is the customer buying frozen soyburger? (y or n): y.
Is the customer buying wheat bread? (y or n): y
Is the customer buying frozen French fries? (y or n): y
. . . etc.