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Applying Generalized Cases to Retrieval and Configuration of Life Insurance Policies

Identifieur interne : 000E60 ( Istex/Corpus ); précédent : 000E59; suivant : 000E61

Applying Generalized Cases to Retrieval and Configuration of Life Insurance Policies

Auteurs : Alexander Tartakovski ; Martin Schaaf ; Rainer Maximini

Source :

RBID : ISTEX:846EFDF6628499B84ADA3D7BFD8BE66767D0D561

Abstract

Abstract: When searching for the right life insurance product, one can either confide in her/his insurance broker or use internet portal sites providing interactive assistance for finding suitable insurance products based on questionnaires. While the first alternative is risky, the second one is cumbersome because of many successive query formulations required. Since a single product is normally a tradeoff between customer requirements, the possibility of providing its priorities could speed up the search significantly. In this paper, we present an approach, which takes priorities in account, while searching for and configuring of insurance products. It makes use of Structural Case-Based-Reasoning (SCBR) extended by the concept of generalized cases. Here, each insurance product is represented as a generalized case what consequently allows the application of similarity assessment and retrieval techniques to the insurance domain.

Url:
DOI: 10.1007/11590019_34

Links to Exploration step

ISTEX:846EFDF6628499B84ADA3D7BFD8BE66767D0D561

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<forename type="first">Dough</forename>
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<forename type="first">Moshe</forename>
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<forename type="first">Friedemann</forename>
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<affiliation>ETH Zurich, Switzerland</affiliation>
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<forename type="first">John</forename>
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<affiliation>Indian Institute of Technology, Madras, India</affiliation>
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<forename type="first">Bernhard</forename>
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<affiliation>University of Dortmund, Germany</affiliation>
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<persName>
<forename type="first">Madhu</forename>
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<persName>
<forename type="first">Demetri</forename>
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<affiliation>New York University, NY, USA</affiliation>
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<persName>
<forename type="first">Dough</forename>
<surname>Tygar</surname>
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<affiliation>University of California, Berkeley, CA, USA</affiliation>
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<forename type="first">Moshe</forename>
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<persName>
<forename type="first">Gerhard</forename>
<surname>Weikum</surname>
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<affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation>
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<persName>
<forename type="first">Jaime</forename>
<forename type="first">G.</forename>
<surname>Carbonell</surname>
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<affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation>
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<persName>
<forename type="first">Jörg</forename>
<surname>Siekmann</surname>
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<affiliation>University of Saarland, Saarbrücken, Germany</affiliation>
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<forename type="first">Klaus-Dieter</forename>
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<forename type="first">Andreas</forename>
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<forename type="first">Ralph</forename>
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<email>bergmann@uni-trier.de</email>
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<persName>
<forename type="first">Markus</forename>
<surname>Nick</surname>
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<email>nick@iese.fraunhofer.de</email>
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<p>Abstract: When searching for the right life insurance product, one can either confide in her/his insurance broker or use internet portal sites providing interactive assistance for finding suitable insurance products based on questionnaires. While the first alternative is risky, the second one is cumbersome because of many successive query formulations required. Since a single product is normally a tradeoff between customer requirements, the possibility of providing its priorities could speed up the search significantly. In this paper, we present an approach, which takes priorities in account, while searching for and configuring of insurance products. It makes use of Structural Case-Based-Reasoning (SCBR) extended by the concept of generalized cases. Here, each insurance product is represented as a generalized case what consequently allows the application of similarity assessment and retrieval techniques to the insurance domain.</p>
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<Para>When searching for the right life insurance product, one can either confide in her/his insurance broker or use internet portal sites providing interactive assistance for finding suitable insurance products based on questionnaires. While the first alternative is risky, the second one is cumbersome because of many successive query formulations required. Since a single product is normally a tradeoff between customer requirements, the possibility of providing its priorities could speed up the search significantly. In this paper, we present an approach, which takes priorities in account, while searching for and configuring of insurance products. It makes use of Structural Case-Based-Reasoning (SCBR) extended by the concept of generalized cases. Here, each insurance product is represented as a generalized case what consequently allows the application of similarity assessment and retrieval techniques to the insurance domain.</Para>
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<abstract lang="en">Abstract: When searching for the right life insurance product, one can either confide in her/his insurance broker or use internet portal sites providing interactive assistance for finding suitable insurance products based on questionnaires. While the first alternative is risky, the second one is cumbersome because of many successive query formulations required. Since a single product is normally a tradeoff between customer requirements, the possibility of providing its priorities could speed up the search significantly. In this paper, we present an approach, which takes priorities in account, while searching for and configuring of insurance products. It makes use of Structural Case-Based-Reasoning (SCBR) extended by the concept of generalized cases. Here, each insurance product is represented as a generalized case what consequently allows the application of similarity assessment and retrieval techniques to the insurance domain.</abstract>
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