A hybrid CBR-IR approach to legal information retrieval
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
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
Automatically Selecting Strategies for Multi-Case-Base Reasoning
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Managing Multiple Case Bases: Dimensions and Issues
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Lucene in Action (In Action series)
Lucene in Action (In Action series)
Query enrichment for web-query classification
ACM Transactions on Information Systems (TOIS)
Multi-case-base reasoning
Enhancing Case-Based, Collaborative Web Search
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Provenance, Trust, and Sharing in Peer-to-Peer Case-Based Web Search
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
A Case-Based Perspective on Social Web Search
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Google Shared. A Case-Study in Social Search
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Towards a reputation-based model of social web search
Proceedings of the 15th international conference on Intelligent user interfaces
| Hi-index | 0.00 |
For the main part, when it comes to questions of retrieval, the focus of CBR research has been on the retrieval of cases from a repository of experience knowledge or case base. In this paper we consider a complementary retrieval issue, namely the retrieval of case bases themselves in scenarios where experience may be distributed across multiple case repositories. We motivate this problem with reference to a deployed social web search service called HeyStaks, which is based on the availability of multiple repositories of shared search knowledge, known as staks, and which is fully integrated into mainstream search engines in order to provide a more collaborative search experience. We describe the case base retrieval problem in the context of HeyStaks, propose a number of case base retrieval strategies, and evaluate them using real-user data from recent deployments.