GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Fab: content-based, collaborative recommendation
Communications of the ACM
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
How to solve it: modern heuristics
How to solve it: modern heuristics
Agent-based telematic services and telecom applications
Communications of the ACM
Self Improving Coordination in Multi Agent Filtering Framework
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Advanced Grid Management Software for Seamless Services
Multiagent and Grid Systems - Smart Grid Technologies & Market Models
Web Intelligence and Agent Systems
Information extraction from mathematical texts by means of natural language processing techniques
Proceedings of the international workshop on Educational multimedia and multimedia education
Electronic Commerce Research and Applications
Speeding Coordination by Combining Analytical and Inductive Learning
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
A reinforcement profile learning agent for documents filtering
ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology
Profiling nomadic users considering preferences and context of use
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Adapted information retrieval in web information systems using PUMAS
AOIS'05 Proceedings of the 7th international conference on Agent-Oriented Information Systems III
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
A peer ubiquitous multi-agent framework for providing nomadic users with adapted information
AP2PC'05 Proceedings of the 4th international conference on Agents and Peer-to-Peer Computing
Web personalization based on usage mining
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
Content Adaptation in Mobile Learning Environments
International Journal of Multimedia Data Engineering & Management
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As today the amount of accessible information is overwhelming, the intelligent and personalized filtering of available information is a main challenge. Additionally, there is a growing need for the seamless mobile and multi-modal system usage throughout the whole day to meet the requirements of the modern society ("anytime, anywhere, anyhow"). A personal information agent that is delivering the right information at the right time by accessing, filtering and presenting information in a situation-aware matter is needed. Applying Agent-technology is promising, because the inherent capabilities of agents like autonomy, pro- and reactiveness offer an adequate approach. We developed an agent-based personal information system called PIA for collecting, filtering, and integrating information at a common point, offering access to the information by WWW, e-mail, SMS, MMS, and J2ME clients. Push and pull techniques are combined allowing the user to search explicitly for specific information on the one hand and to be informed automatically about relevant information divided in pre-, work and recreation slots on the other hand. In the core of the PIA system advanced filtering techniques are deployed through multiple filtering agent communities for content-based and collaborative filtering. Information-extracting agents are constantly gathering new relevant information from a variety of selected sources (internet, files, databases, web-services etc.). A personal agent for each user is managing the individual information provisioning, tailored to the needs of this specific user, knowing the profile, the current situation and learning from feedback.