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Recommending case bases : applications in social web search
Author(s)
Date Issued
2011-09-15
Date Available
2012-02-02T16:14:35Z
Abstract
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.
Sponsorship
Science Foundation Ireland
Other funder
Other Sponsorship
HeyStaks Technologies Ltd.
Ministry of Higher Education Malaysia
Universiti Teknikal Malaysia Melaka
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
2011 Springer
Subject – LCSH
Recommender systems (Information filtering)
Case-based reasoning
Web co-browsing--Software
Online social networks
Language
English
Status of Item
Peer reviewed
Journal
Ram, A. and Wiratunga, N. (eds.).19th International Conference on Case-Based Reasoning, ICCBR 2011, London, UK, September 12-15, 2011, Proceedings
Conference Details
Paper presented at the International Conference on Case Based Reasoning (ICCBR-11), Greenwich, London, UK, 12-15 September, 2011
This item is made available under a Creative Commons License
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zurina-iccbr-2011-v1.4.pdf
Size
2.14 MB
Format
Adobe PDF
Checksum (MD5)
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