A guide to the SQL standard (2nd ed.)
A guide to the SQL standard (2nd ed.)
The effectiveness of GIOSS for the text database discovery problem
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
An infrastructure for an electronic market of scientific literature
Databases and information systems
Usability Engineering
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Building HyperView Wrappers for Publisher Web-Sites
ECDL '98 Proceedings of the Second European Conference on Research and Advanced Technology for Digital Libraries
A Comparative Transaction Log Analysis of Two Computing Collections
ECDL '00 Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries
Daffodil: Distributed Agents for User-Friendly Access of Digital Libraries
ECDL '00 Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries
Search Behavior in a Research-Oriented Digital Library
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
Information Gathering Plans With Sensing Actions
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
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Applying meta search systems is a suitable method to support the user if there are many different services. Due to information splitting strategies of literature services existing meta systems either provide minimal integration or slow response times. The proposed approach combines techniques of personalization and query optimization in order to satisfy the user's demand for fast and comprehensive results. This approach deploys a new personalization technique, called generic search strategies. The designed query language for meta search systems contains soft conditions and a top k operator in order to create the potential for query optimization. For validation, this approach employs experiments to evaluate and compare different query processing strategies. Finally, these experiments will permit to identify the contribution of certain parts of user profiles to query optimization.