On Implicitly Discovered OLAP Schema-Specific Preferences in Reporting Tool

On Implicitly Discovered OLAP Schema-Specific Preferences in Reporting Tool

We propose content-based methods for construction of recommendations for reports in the OLAP reporting tool. Recommendations are generated based on preference information in user profile, which is updated implicitly by collecting and analyzing user activity in the reporting tool. Taking advantage of data about user preferences for data warehouse schema elements, existing reports that potentiall...

Towards Introducing User Preferences in OLAP Reporting Tool

This paper presents an OLAP reporting tool and an approach for determining and processing user OLAP preferences, which are useful for generating recommendations on potentially interesting reports. We discuss the metadata layers of the reporting tool including our proposed OLAP preferences metamodel, which supports various scenarios of formulating preferences of two different types: schema-speci...

Expressing OLAP Preferences

Multidimensional databases play a relevant role in statistical and scientific applications, as well as in business intelligence systems. Their users express complex OLAP queries, often returning huge volumes of facts, sometimes providing little or no information. Thus, expressing preferences could be highly valuable in this domain. The OLAP domain is representative of an unexplored class of pre...

Document-Centric OLAP in the Schema-Chaos World

How Explicit Choices Implicitly Shape Preferences of Odors

Several studies have shown that preferences can be strongly modulated by cognitive processes such as decision making and choices. However, it is still unclear whether choices can influence preferences of sensory stimuli implicitly. This question was addressed here by asking participants to evaluate odors, to choose their preferred odors within pairs, to reevaluate the odors, and to perform an u...