Article ID Journal Published Year Pages File Type
10321349 Data & Knowledge Engineering 2005 31 Pages PDF
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
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