On Implicitly Discovered OLAP Schema-Specific Preferences in Reporting Tool

摘要

We propose content-based methods for constructionof recommendations for reports in the OLAP reporting tool.Recommendations are generated based on preferenceinformation in user profile, which is updated implicitly bycollecting and analyzing user activity in the reporting tool.Taking advantage of data about user preferences for datawarehouse schema elements, existing reports that potentially maybe interesting to the user are distinguished and recommended.The approach used for recommending reports is composed of twomethods – cold-start and hot-start.