Feature Discretization and Cardinality Reduction Using Collaborative Filtering Techniques

摘要

A system and method to perform discretization and cardinality reduction of item attributes using collaborative filtering techniques are described. Data input by a user is received over a network, the input data further including a plurality of items and associated item metadata related to events performed by the user. The input data is further processed to obtain a predetermined number of groupings, each grouping having a calculated value based on a distance parameter between corresponding attributes of each item stored within the item metadata. Finally, a similarity parameter is computed between each pair of items within the plurality of items based on associated groupings and recommendations of the items are presented to the user based on the corresponding calculated similarity parameter.