The vocabulary problem in human-system communication
Communications of the ACM
A hybrid CBR-IR approach to legal information retrieval
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
User interactions with everyday applications as context for just-in-time information access
Proceedings of the 5th international conference on Intelligent user interfaces
Evaluating document clustering for interactive information retrieval
Proceedings of the tenth international conference on Information and knowledge management
Context and Page Analysis for Improved Web Search
IEEE Internet Computing
PersonalSearcher: An Intelligent Agent for Searching Web Pages
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
Collaborative Case-Based Reasoning: Applications in Personalised Route Planning
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
When Two Case Bases Are Better than One: Exploiting Multiple Case Bases
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Modeling Legal Argument Reasoning With Cases and Hypotheticals
Modeling Legal Argument Reasoning With Cases and Hypotheticals
Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine
User Modeling and User-Adapted Interaction
A live-user evaluation of collaborative web search
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
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Collaborative Web Search (CWS) proposes a case-based approach to personalizing search results for the needs of a community of like-minded searchers. The search activities of users are captured as a case base of search cases, each corresponding to community search behaviour (the results selected) for a given query. When responding to a new query, CWS selects a set of similar cases and promotes their selected results within the final result-list. In this paper we describe how this case-based view can be broadened to accommodate suggestions from multiple case bases, reflecting the expertise and preferences of complementary search communities. In this way it is possible to supplement the recommendations of the host community with complementary recommendations from related communities. We describe the results of a new live-user trial that speaks to the performance benefits that are available by using multiple case bases in this way compared to the use of a single case base.