Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10321349 | Data & Knowledge Engineering | 2005 | 31 Pages |
Abstract
We argue that we need to search all the search space of candidate itemsets but rather let the database unveil its secrets as the customers use it. We propose a system that does not merely scan all possible combinations of the itemsets, but rather acts like a search engine specifically implemented for making recommendations to the customers using techniques borrowed from Information Retrieval.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ioannis N. Kouris, Christos H. Makris, Athanasios K. Tsakalidis,