Further experiments in case-based collaborative web search

Abstract. 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.

Case Representation, Acquisition, and Retrieval in SIROCCO

As part of our investigation of how abstract principles are operationalized to facilitate their application to specific fact situations, we have begun to develop and experiment with SIROCCO (System for Intelligent Retrieval of Operationalized Cases and COdes), a CBR retrieval and analysis system applied to the domain of engineering ethics. SIROCCO is intended to retrieve decided engineering ethics cases and previously applied ethics codes to assist engineers and students in analyzing new cases. Here we describe a limited but expressive language designed to represent a wide range of ethics cases in SIROCCO, a world-wide web tool developed to perform case acquisition and support a measure of consistency in representation, and an experiment to validate the initial phase of SIROCCO's retrieval algorithm and test its sensitivity to small variations in case description

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

Integrating Hybrid Rule-Based with Case-Based Reasoning

In this paper, we present an approach integrating neurule-based and case-based reasoning. Neurules are a kind of hybrid rules that combine a symbolic (production rules) and a connectionist representation (adaline unit)