Recommending case bases : applications in social web search

Paper presented at the International Conference on Case Based Reasoning (ICCBR-11), Greenwich, London, UK, 12-15 September, 2011For 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.Science Foundation IrelandOther funderHeyStaks Technologies Ltd.Ministry of Higher Education MalaysiaUniversiti Teknikal Malaysia Melaka12M embargo, not yet published. Conference site: http://www.iccbr.org/iccbr11/submissions.html - AV 6/12/11 ti, ke, ab, sp - kpw 17/1/1