Designing a Web-based Testing Tool for Multi-Criteria Recommender Systems.

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Title: Designing a Web-based Testing Tool for Multi-Criteria Recommender Systems.
Authors: Manouselis, Nikos G.1 nikosm@aua.gr, Costopoulou, Consatantina I.1 tina@aua.gr
Source: Engineering Letters. 2006, Vol. 13 Issue 4, p417-427. 11p.
Subjects: Computer simulation, Unified modeling language, Application software, Filtering software, World Wide Web
Abstract: A plethora of real-life applications of recommender systems in the Web exists. These systems help users to deal with information overload, by providing personalized recommendations regarding online content and services. Due to the dynamic and changing parameters of the various application contexts, careful testing and parameterization has to be carried out before a recommender system is finally deployed in a real setting. This paper proposes a Web-based tool that allows for simulated testing of a special class of multi-criteria recommender systems, namely multi-attribute collaborative filtering systems. More specifically, it introduces a number of collaborative filtering algorithms that are based on Multi-Attribute Utility Theory (MAUT), and presents the design and implementation of a Web-based tool termed as the Collaborative Filtering Simulator (CollaFiS), which may be used for their simulated testing. The specification of CollaFiS is described using the Unified Modelling Language (UML). In addition, a characteristic scenario of the CollaFiS usage is illustrated. [ABSTRACT FROM AUTHOR]
Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Designing a Web-based Testing Tool for Multi-Criteria Recommender Systems.
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  Data: <searchLink fieldCode="AR" term="%22Manouselis%2C+Nikos+G%2E%22">Manouselis, Nikos G.</searchLink><relatesTo>1</relatesTo><i> nikosm@aua.gr</i><br /><searchLink fieldCode="AR" term="%22Costopoulou%2C+Consatantina+I%2E%22">Costopoulou, Consatantina I.</searchLink><relatesTo>1</relatesTo><i> tina@aua.gr</i>
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Letters%22">Engineering Letters</searchLink>. 2006, Vol. 13 Issue 4, p417-427. 11p.
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  Data: A plethora of real-life applications of recommender systems in the Web exists. These systems help users to deal with information overload, by providing personalized recommendations regarding online content and services. Due to the dynamic and changing parameters of the various application contexts, careful testing and parameterization has to be carried out before a recommender system is finally deployed in a real setting. This paper proposes a Web-based tool that allows for simulated testing of a special class of multi-criteria recommender systems, namely multi-attribute collaborative filtering systems. More specifically, it introduces a number of collaborative filtering algorithms that are based on Multi-Attribute Utility Theory (MAUT), and presents the design and implementation of a Web-based tool termed as the Collaborative Filtering Simulator (CollaFiS), which may be used for their simulated testing. The specification of CollaFiS is described using the Unified Modelling Language (UML). In addition, a characteristic scenario of the CollaFiS usage is illustrated. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 417
    Subjects:
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Unified modeling language
        Type: general
      – SubjectFull: Application software
        Type: general
      – SubjectFull: Filtering software
        Type: general
      – SubjectFull: World Wide Web
        Type: general
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      – TitleFull: Designing a Web-based Testing Tool for Multi-Criteria Recommender Systems.
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              Text: 2006
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