User models: theory, method, and practice
International Journal of Man-Machine Studies
Using latent semantic indexing for information filtering
COCS '90 Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems
Using the data warehouse
Information seeking in electronic environments
Information seeking in electronic environments
The data warehouse toolkit: practical techniques for building dimensional data warehouses
The data warehouse toolkit: practical techniques for building dimensional data warehouses
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Cases on information technology management in modern organizations
Learning while filtering documents
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Web farming for the data warehouse
Web farming for the data warehouse
Helping people find what they don't know
Communications of the ACM
Communications of the ACM
A broader approach to personalization
Communications of the ACM
SAS/Warehouse Administrator Metadata API Reference,Release 2.0
SAS/Warehouse Administrator Metadata API Reference,Release 2.0
SAS/Warehouse Administrator Metadata API Reference,Release 1.3,First Edition
SAS/Warehouse Administrator Metadata API Reference,Release 1.3,First Edition
Filtering the Web to Feed Data Warehouses
Filtering the Web to Feed Data Warehouses
Cognition, Situatedness, and Situated Design
CT '97 Proceedings of the 2nd International Conference on Cognitive Technology (CT '97)
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The data warehouse is considered to be the best way to organize transactional data. However, as many researches claim data warehouse should be augmented with external textual information. The objective of this chapter is to examine the requirements for profiling in the data warehouse environment. Profiles created in the data warehouse are then utilized to filter information. The goal of the sketched system is to support users in his situated actions. We explore many issues concerning personalization, such as information overflow, user models, and situatedness. We also analyze the factors that influence the filtering process. Finally, we draw some conclusions that should be considered during extension of the evaluated system.