1. A computer readable storage medium having a computer program stored thereon for implementing a mapping method of classifying a plurality of informational items in an information retrieval system having a database, said computer program comprising a set of instructions for implementing said method comprising the steps of: identifying a first informational item, wherein said first informational item includes one of a first frequently asked question or other data; identifying a second informational item, wherein said second informational item includes one of a second frequently asked question or other data; dynamically creating a general relationship field with initial integer weight values to define similarities of respective characteristics between said first informational item and said second informational item in an information retrieval session, wherein said field is used for representing an automated data item classification process; integrating said classification process and said informational items with a combination of data aging and pruning feedback algorithms to produce a weighted output simulating a non-conventional Bayesian-type Belief Network; detecting an access of said first informational item; detecting an access of said second informational item; establishing the presence or absence of a relationship link between said first informational item and said second informational item; refining said initial integer weight values of said general relationship field associated with said first and second informational items based on a historical frequency of said relationship link being accessed by a user, wherein said initial integer weight values are changed as said frequency increases and on the prior presence or absence of said relationship link; and storing said weighted output being at least partially indicative of the classification of said informational items.