Method and system for generating recommendations

A computer-readable storage medium comprising computer-executable instructions stored therein for performing a method of generating a recommendation list of products to a customer, said method comprising:

• using OLAP (On-Line Analytical Processing) to analyze raw data in a multilevel and multidimensional manner at a computer;
• applying a plurality of filtering processes to said raw data, as a part of said analyzing, to generate a plurality of preliminary recommendation lists at said computer;
• adjusting a first preliminary recommendation list according to association rules mined within a neighborhood of said customer, wherein said first preliminary recommendation list is one of the preliminary recommendation lists;
• and generating said recommendation list based on said plurality of preliminary recommendation lists at said computer.

A recommendation system comprising:

• a data warehouse for storing raw data representing purchases of products by customers;
• a server using OLAP (On-Line Analytical Processing) for analyzing said raw data in a multilevel and multidimensional manner to generate a recommendation list of products to a customer, wherein said server applies a plurality of filtering processes to said raw data;
• said server adjusting a first preliminary recommendation list according to association rules mined within a neighborhood of said customer, wherein said first preliminary recommendation list is one of the preliminary recommendation lists and
• a computer having stored therein a multidimensional database for storing data cubes processed by said server, wherein said multidimensional database is controlled by said server.