GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Execution performance issues in full-text information retrieval
Execution performance issues in full-text information retrieval
Fab: content-based, collaborative recommendation
Communications of the ACM
Multidimensional access methods
ACM Computing Surveys (CSUR)
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
How to solve it: modern heuristics
How to solve it: modern heuristics
Data mining: concepts and techniques
Data mining: concepts and techniques
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Agent-based telematic services and telecom applications
Communications of the ACM
Building agents for service provisioning out of components
Proceedings of the fifth international conference on Autonomous agents
Proceedings of the 17th International Conference on Data Engineering
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Learning to surf: multiagent systems for adaptive web page recommendation
Learning to surf: multiagent systems for adaptive web page recommendation
Self Improving Coordination in Multi Agent Filtering Framework
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Collaborative Filtering Guided Exploration in Multi Agent Filtering Framework
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
Agent technology for personalized information filtering: the PIA-system
Proceedings of the 2005 ACM symposium on Applied computing
Cooperative Community Selection in Multi Agent Filtering Framework
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Web Intelligence and Agent Systems
Shooting stars in the sky: an online algorithm for skyline queries
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Self organization of a massive document collection
IEEE Transactions on Neural Networks
Semantic optimization of query transformation in semantic peer-to-peer networks
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
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Novice users often do not have enough domain knowledge to create good queries for searching information on-line. To help alleviate the situation, exploration techniques have been used to increase the diversity of the search results so that not only those explicitly asked will be returned, but also those potentially relevant ones will be returned too. Most existing approaches, such as collaborative filtering, do not allow the level of exploration to be controlled. Consequently, the search results can be very different from what is expected. We propose an exploration strategy that performs intelligent query processing by first searching usable old queries, and then utilising them to adapt the current query, with the hope that the adapted query will be more relevant to the user's areas of interest. We applied the proposed strategy to the implementation of a personal information assistant (PIA) set up for user evaluation for 3 months. The experimental results showed that the proposed exploration method outperformed collaborative filtering, and mutation and crossover methods by around 25% in terms of the elimination of off-topic results.