CBR for CBR: A case-based template recommender system for building case-based systems

Juan A. Recio-García; Derek Bridge; Belén Díaz-Agudo; Pedro A. González-Calero

doi:10.1007/978-3-540-85502-6_31

CBR for CBR: A case-based template recommender system for building case-based systems

Juan A. Recio-García
, Derek Bridge
, Belén Díaz-Agudo
, Pedro A. González-Calero

Complutense University

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

Our goal is to support system developers in rapid prototyping of Case-Based Reasoning (CBR) systems through component reuse. In this paper, we propose the idea of templates that can be readily adapted when building a CBR system. We define a case base of templates for case-based recommender systems. We devise a novel case-based template recommender, based on recommender systems research, but using a new idea that we call Retrieval-by-Trying. Our experiments with the system show that similarity based on semantic features is more effective than similarity based on behavioural features, which is in turn more effective than similarity based on structural features.

Original language	English
Title of host publication	Advances in Case-Based Reasoning - 9th European Conference, ECCBR 2008, Proceedings
Pages	459-473
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-540-85502-6_31
Publication status	Published - 2008
Event	9th European Conference on Case-Based Reasoning, ECCBR 2008 - Trier, Germany Duration: 1 Sep 2008 → 4 Sep 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5239 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th European Conference on Case-Based Reasoning, ECCBR 2008
Country/Territory	Germany
City	Trier
Period	1/09/08 → 4/09/08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1007/978-3-540-85502-6_31

Cite this

Recio-García, J. A., Bridge, D., Díaz-Agudo, B., & González-Calero, P. A. (2008). CBR for CBR: A case-based template recommender system for building case-based systems. In Advances in Case-Based Reasoning - 9th European Conference, ECCBR 2008, Proceedings (pp. 459-473). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5239 LNAI). https://doi.org/10.1007/978-3-540-85502-6_31

Recio-García, Juan A. ; Bridge, Derek ; Díaz-Agudo, Belén et al. / CBR for CBR : A case-based template recommender system for building case-based systems. Advances in Case-Based Reasoning - 9th European Conference, ECCBR 2008, Proceedings. 2008. pp. 459-473 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{0107f5a8d62b4c95bf06cc670ec60b30,

title = "CBR for CBR: A case-based template recommender system for building case-based systems",

abstract = "Our goal is to support system developers in rapid prototyping of Case-Based Reasoning (CBR) systems through component reuse. In this paper, we propose the idea of templates that can be readily adapted when building a CBR system. We define a case base of templates for case-based recommender systems. We devise a novel case-based template recommender, based on recommender systems research, but using a new idea that we call Retrieval-by-Trying. Our experiments with the system show that similarity based on semantic features is more effective than similarity based on behavioural features, which is in turn more effective than similarity based on structural features.",

author = "Recio-Garc{\'i}a, \{Juan A.\} and Derek Bridge and Bel{\'e}n D{\'i}az-Agudo and Gonz{\'a}lez-Calero, \{Pedro A.\}",

year = "2008",

doi = "10.1007/978-3-540-85502-6\_31",

language = "English",

isbn = "3540855017",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "459--473",

booktitle = "Advances in Case-Based Reasoning - 9th European Conference, ECCBR 2008, Proceedings",

note = "9th European Conference on Case-Based Reasoning, ECCBR 2008 ; Conference date: 01-09-2008 Through 04-09-2008",

}

Recio-García, JA, Bridge, D, Díaz-Agudo, B & González-Calero, PA 2008, CBR for CBR: A case-based template recommender system for building case-based systems. in Advances in Case-Based Reasoning - 9th European Conference, ECCBR 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5239 LNAI, pp. 459-473, 9th European Conference on Case-Based Reasoning, ECCBR 2008, Trier, Germany, 1/09/08. https://doi.org/10.1007/978-3-540-85502-6_31

CBR for CBR: A case-based template recommender system for building case-based systems. / Recio-García, Juan A.; Bridge, Derek; Díaz-Agudo, Belén et al.
Advances in Case-Based Reasoning - 9th European Conference, ECCBR 2008, Proceedings. 2008. p. 459-473 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5239 LNAI).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

TY - GEN

T1 - CBR for CBR

T2 - 9th European Conference on Case-Based Reasoning, ECCBR 2008

AU - Recio-García, Juan A.

AU - Bridge, Derek

AU - Díaz-Agudo, Belén

AU - González-Calero, Pedro A.

PY - 2008

Y1 - 2008

N2 - Our goal is to support system developers in rapid prototyping of Case-Based Reasoning (CBR) systems through component reuse. In this paper, we propose the idea of templates that can be readily adapted when building a CBR system. We define a case base of templates for case-based recommender systems. We devise a novel case-based template recommender, based on recommender systems research, but using a new idea that we call Retrieval-by-Trying. Our experiments with the system show that similarity based on semantic features is more effective than similarity based on behavioural features, which is in turn more effective than similarity based on structural features.

AB - Our goal is to support system developers in rapid prototyping of Case-Based Reasoning (CBR) systems through component reuse. In this paper, we propose the idea of templates that can be readily adapted when building a CBR system. We define a case base of templates for case-based recommender systems. We devise a novel case-based template recommender, based on recommender systems research, but using a new idea that we call Retrieval-by-Trying. Our experiments with the system show that similarity based on semantic features is more effective than similarity based on behavioural features, which is in turn more effective than similarity based on structural features.

UR - https://www.scopus.com/pages/publications/52149116728

U2 - 10.1007/978-3-540-85502-6_31

DO - 10.1007/978-3-540-85502-6_31

M3 - Conference proceeding

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SN - 9783540855019

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 459

EP - 473

BT - Advances in Case-Based Reasoning - 9th European Conference, ECCBR 2008, Proceedings

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ER -

Recio-García JA, Bridge D, Díaz-Agudo B, González-Calero PA. CBR for CBR: A case-based template recommender system for building case-based systems. In Advances in Case-Based Reasoning - 9th European Conference, ECCBR 2008, Proceedings. 2008. p. 459-473. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-85502-6_31

CBR for CBR: A case-based template recommender system for building case-based systems

Abstract

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