A caching relay for the World Wide Web
Selected papers of the first conference on World-Wide Web
Measurement and analysis of LDAP performance
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
The content and access dynamics of a busy Web site: findings and implications
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Enabling scalable online personalization on the Web
Proceedings of the 2nd ACM conference on Electronic commerce
Characterizing reference locality in the WWW
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Putting personalization into practice
Communications of the ACM - The Adaptive Web
Usability Engineering
User Modeling and User-Adapted Interaction
A Review and Analysis of Commercial User Modeling Servers for Personalization on the World Wide Web
User Modeling and User-Adapted Interaction
User Modeling for Personalized City Tours
Artificial Intelligence Review
An architecture to support scalable online personalization on the Web
The VLDB Journal — The International Journal on Very Large Data Bases
Mining Client-Side Activity for Personalization
WECWIS '02 Proceedings of the Fourth IEEE International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS'02)
User Modeling Servers: Requirements, Design, and Evaluation
User Modeling Servers: Requirements, Design, and Evaluation
The measured access characteristics of world-wide-web client proxy caches
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
System design issues for internet middleware services: deductions from a large client trace
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
Web Usage Mining as a Tool for Personalization: A Survey
User Modeling and User-Adapted Interaction
Performance Evaluation of Mobile Agents for Knowledge-Based Web Information Services
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Performance Evaluation of a Privacy-Enhancing Framework for Personalized Websites
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Off-line evaluation of recommendation functions
UM'05 Proceedings of the 10th international conference on User Modeling
A PLA-based privacy-enhancing user modeling framework and its evaluation
User Modeling and User-Adapted Interaction
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Before user modeling servers can be deployed to real-world application environments with potentially millions of users, their runtime behavior must be experimentally verified under realistic workload conditions to ascertain their satisfactory performance in the target domain. This paper discusses performance experiments which systematically vary the number of profiles available in the user modeling server, and the frequency of page requests that simulated users submit to a hypothetical personalized website. The parameters of this simulation are based on empirical web usage research. For small to medium sized test scenarios, the processing time for a representative mix of user modeling operations was found to only degressively increase with the frequency of page requests. The distribution of the user modeling server across a network of computers additionally accelerated those operations that are amenable to parallel execution. A large-scale test with several million active user profiles and a page request rate that is representative of major websites confirmed that the user modeling performance of our server will not impose a significant overhead for a personalized website. It also corroborated our earlier finding that directories provide a superior foundation for user modeling servers than traditionally used data bases and knowledge bases.