Recommending case bases : applications in social web search

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Title: Recommending case bases : applications in social web search
Authors: Saaya, Zurina
Smyth, Barry
Coyle, Maurice
Briggs, Peter
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Date: 15-Sep-2011
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.
Funding Details: Science Foundation Ireland
Other funder
Type of material: Conference Publication
Publisher: Springer
Copyright (published version): 2011 Springer
Keywords: Social search;Context recommendation
Subject LCSH: Recommender systems (Information filtering)
Case-based reasoning
Web co-browsing--Software
Online social networks
Language: en
Status of Item: Peer reviewed
Is part of: 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
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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