6533b861fe1ef96bd12c4492
RESEARCH PRODUCT
OLAP Personalization with User-Describing Profiles
Natalija KozminaLaila Niedritesubject
User profileData collectionInformation retrievalComputer scienceOnline analytical processingSchema (psychology)Zachman FrameworkData miningcomputer.software_genrecomputerData warehousePersonalizationdescription
In this paper we have highlighted five existing approaches for introducing personalization in OLAP: preference constructors, dynamic personalization, visual OLAP, recommendations with user session analysis and recommendations with user profile analysis and have analyzed research papers within these directions. We have pointed out applicability of personalization to OLAP schema elements in these approaches. The comparative analysis has been made in order to highlight a certain personalization approach. A new method has been proposed, which provides exhaustive description of interaction between user and data warehouse, using the concept of Zachman Framework [1, 2], according to which a set of user-describing profiles (user, preference, temporal, spatial, preferential and recommendational) have been developed. Methods of profile data gathering and processing are described in this paper.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2010-01-01 |