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add additional literature
This commit is contained in:
@@ -297,4 +297,142 @@ OCLC: 935904837}
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\HC6C7C89\\Felfernig et al. - 2018 - Group recommender systems an introduction.pdf}
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}
|
||||
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@article{malthouseMultistakeholderRecommenderSystems2019,
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langid = {english},
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||||
title = {A {{Multistakeholder Recommender Systems Algorithm}} for {{Allocating Sponsored Recommendations}}},
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||||
abstract = {Retailing and social media platforms recommend two types of items to their users: sponsored items that generate ad revenue and nonsponsored ones that do not. The platform selects sponsored items to maximize ad revenue, often through some form of programmatic auction, and non-sponsored items to maximize user utility with a recommender system (RS). We develop a multiobjective binary integer programming model to allocate sponsored recommendations considering a dual objective of maximizing ad revenue and user utility. We propose an algorithm to solve it in a computationally efficient way. Our method can be applied as a form of post processing to an existing RS, making it widely applicable. We apply the model to data from an online grocery retailer and show that user utility for the recommended items can be improved while reducing ad revenue by a small amount. This multiobjective approach, which unifies programmatic advertising and RS, opens a new frontier for advertising and RS research and we therefore provide an extended discussion of future research topics.},
|
||||
date = {2019},
|
||||
pages = {8},
|
||||
author = {Malthouse, Edward C and Vakeel, Khadija Ali and Hessary, Yasaman Kamyab and Burke, Robin and Fudurić, Morana},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\ZCMF3A2J\\Malthouse et al. - 2019 - A Multistakeholder Recommender Systems Algorithm f.pdf},
|
||||
note = {ZSCC: 0000001}
|
||||
}
|
||||
|
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@article{loucaJointOptimizationProfit2019,
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langid = {english},
|
||||
title = {Joint {{Optimization}} of {{Profit}} and {{Relevance}} for {{Recommendation Systems}} in {{E}}-Commerce},
|
||||
date = {2019},
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||||
pages = {4},
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||||
author = {Louca, Raphael and Bhattacharya, Moumita and Hu, Diane and Hong, Liangjie},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\AMRZSDHT\\Louca et al. - 2019 - Joint Optimization of Profit and Relevance for Rec.pdf},
|
||||
note = {ZSCC: 0000001}
|
||||
}
|
||||
|
||||
@book{felfernigGroupRecommenderSystems2018a,
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||||
langid = {english},
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||||
title = {Group Recommender Systems: An Introduction},
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||||
isbn = {978-3-319-75067-5},
|
||||
shorttitle = {Group Recommender Systems},
|
||||
abstract = {This book presents group recommender systems, which focus on the determination of recommendations for groups of users. The authors summarize different technologies and applications of group recommender systems. They include an in-depth discussion of state-of-the-art algorithms, an overview of industrial applications, an inclusion of the aspects of decision biases in groups, and corresponding de-biasing approaches. The book includes a discussion of basic group recommendation methods, aspects of human decision making in groups, and related applications. A discussion of open research issues is included to inspire new related research. The book serves as a reference for researchers and practitioners working on group recommendation related topics.},
|
||||
date = {2018},
|
||||
author = {Felfernig, Alexander and Boratto, Ludovico and Stettinger, Martin and Tkalčič, Marko},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\5AVYI9FS\\Felfernig et al. - 2018 - Group recommender systems an introduction.pdf}
|
||||
}
|
||||
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@inproceedings{delgadoSimpleObjectivesWork2019,
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location = {{Copenhagen, Denmark}},
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title = {Simple {{Objectives Work Better}}},
|
||||
eventtitle = {{{RMSE}} 2019},
|
||||
booktitle = {Proceedings of the {{Workshop}} on {{Recommendation}} in {{Multi}}-Stakeholder {{Environments}}},
|
||||
date = {2019-09-20},
|
||||
author = {Delgado, Joaquin and Lind, Samuel and Radecke, Carl and Konijeti, Satish},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\6CPFZC8M\\Delgado et al_2019_Simple Objectives Work Better.pdf}
|
||||
}
|
||||
|
||||
@article{qiuInfluenceGroupConfiguration2015,
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||||
langid = {english},
|
||||
title = {Influence of Group Configuration on Online Discourse Reading},
|
||||
volume = {87},
|
||||
issn = {03601315},
|
||||
url = {https://linkinghub.elsevier.com/retrieve/pii/S0360131515001074},
|
||||
doi = {10.1016/j.compedu.2015.04.006},
|
||||
abstract = {Online discourse reading plays a very important role in collaborative discussions. However, not many studies have examined the influence of group configuration on online discourse note reading. The current study examined note reading workloads and participants' perceptions of the three group configurations (large whole class, small whole class, large with subgroups) in online graduate-level courses from one institute. In this mixed-methods study, we analyzed tracking logs from 25 graduate-level online courses (25 instructors and 341 students) and interviews from 10 instructors and 12 graduate students with diverse backgrounds. Findings suggest that all three configurations had their own advantages and disadvantages in fostering online discourse reading. However, our analysis suggests that the advantages of subgroup discussions in supporting note reading outweigh those of the Small and Large configurations. The overload effects in information reading due to large class sizes can be minimized by dividing students into small groups for discussion purposes. Group configuration into proper-size groups may reduce students' reading loads. Interviewees felt that the waving of small groups into large classes benefited their collaborative discussions. We conclude this paper with a list of pedagogical recommendations and new software features that may help group configuration and enhance learning in online courses. This study may have implications for both practitioners and researchers to seek optimal group configurations to achieve more fruitful online discussions through note reading.},
|
||||
journaltitle = {Computers \& Education},
|
||||
shortjournal = {Computers \& Education},
|
||||
urldate = {2019-10-23},
|
||||
date = {2015-09},
|
||||
pages = {151-165},
|
||||
author = {Qiu, Mingzhu and McDougall, Douglas},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\79AJNSBV\\Qiu und McDougall - 2015 - Influence of group configuration on online discour.pdf}
|
||||
}
|
||||
|
||||
@article{atasLiquidDemocracyGroupbased,
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langid = {english},
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||||
title = {Liquid {{Democracy}} in {{Group}}-Based {{Configuration}}},
|
||||
abstract = {Group-based configuration systems support scenarios where a group of users configures a product/service. In those groupbased configuration scenarios where the knowledge of some group members regarding items is insufficient, an advice of experts is necessary in order to help members to evaluate products or services. This paper introduces a novel approach which takes advantage of the concept of liquid democracy that allows the delegation of group member votes to experts. Concerning the application of liquid democracy, we propose a new approach based on Multi-attribute Utility theory (MAUT)-based evaluation used to calculate the utility of configurable items. Compared to the traditional approach, the proposed MAUT-based evaluation focuses on the role of experts by assigning higher weights to them. Additionally, the respective expertise level of the experts is taken into account. Consequently, the main contribution of this paper consists in the improvement of group-based configuration by taking liquid democracy aspects into consideration.},
|
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pages = {5},
|
||||
author = {Atas, Muesluem and Tran, Thi Ngoc Trang and Samer, Ralph and Felfernig, Alexander and Stettinger, Martin and Fucci, Davide},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\95YRVV9G\\Atas et al. - Liquid Democracy in Group-based Configuration.pdf}
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}
|
||||
|
||||
@article{mendoncaDecisionmakingCoordinationEfficient2010,
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langid = {english},
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||||
title = {Decision-Making Coordination and Efficient Reasoning Techniques for Feature-Based Configuration},
|
||||
volume = {75},
|
||||
issn = {01676423},
|
||||
url = {https://linkinghub.elsevier.com/retrieve/pii/S0167642309001713},
|
||||
doi = {10.1016/j.scico.2009.12.004},
|
||||
abstract = {Software Product Lines is a contemporary approach to software development that exploits the similarities and differences within a family of systems in a particular domain of interest in order to provide a common infrastructure for deriving members of this family in a timely fashion, with high-quality standards, and at lower costs.},
|
||||
number = {5},
|
||||
journaltitle = {Science of Computer Programming},
|
||||
shortjournal = {Science of Computer Programming},
|
||||
urldate = {2019-10-23},
|
||||
date = {2010-05},
|
||||
pages = {311-332},
|
||||
author = {Mendonca, Marcilio and Cowan, Donald},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\PKMHKVGL\\Mendonca und Cowan - 2010 - Decision-making coordination and efficient reasoni.pdf}
|
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}
|
||||
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@inproceedings{felfernigProceedings20thInternational,
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langid = {english},
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title = {Proceedings of the 20th {{International Configuration Workshop}}},
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pages = {132},
|
||||
author = {Felfernig, Alexander and Tiihonen, Juha and Hotz, Lothar and Stettinger, Martin},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\FW39YC58\\Felfernig et al. - University of Hamburg Hamburger Informatik Technol.pdf}
|
||||
}
|
||||
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@article{andrzejakSoftwareConfigurationDiagnosis,
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langid = {english},
|
||||
title = {Software {{Configuration Diagnosis}} – {{A Survey}} of {{Existing Methods}} and {{Open Challenges}}},
|
||||
abstract = {As software systems become more complex and featurerich, configuration mechanisms are needed to adapt them to different execution environments and usage profiles. As a consequence, failures due to erroneous configuration settings are becoming more common, calling for effective mechanisms for diagnosis, repair, and prevention of such issues. In this paper, we survey approaches for diagnosing software configuration errors, methods for debugging these errors, and techniques for testing against such issues. In addition, we outline current challenges of isolating and fixing faults in configuration settings, including improving fault localization, handling the case of multi-stack systems, and configuration verification at runtime.},
|
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pages = {8},
|
||||
author = {Andrzejak, Artur and Friedrich, Gerhard and Wotawa, Franz},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\9Z76QC7P\\Andrzejak et al. - Software Configuration Diagnosis – A Survey of Exis.pdf}
|
||||
}
|
||||
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@article{shafieeCostBenefitAnalysis,
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langid = {english},
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title = {Cost {{Benefit Analysis}} in {{Product Configuration Systems}}},
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pages = {5},
|
||||
author = {Shafiee, Sara and Felfernig, Alexander and Hvam, Lars and Piroozfar, Poorang and Forza, Cipriano},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\3HAEAKPS\\Shafiee et al. - Cost Benefit Analysis in Product Configuration Sys.pdf}
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}
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@article{thumProductConfigurationWild,
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langid = {english},
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title = {Product {{Configuration}} in the {{Wild}}: {{Strategies}} for {{Conflicting Decisions}} in {{Web Configurators}}},
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abstract = {Customization is omnipresent in our everyday live. There are web configurators to customize cars, trucks, bikes, computers, clothes, furniture, and food. At first glance, customization using configurators appears trivial; we simply select the configuration options that we want. However, in practice, options are usually dependent on each other. Reasons for dependencies are manifold and are typically specific for the particular domain. Dependencies can be simple, such as one option requiring or excluding another option, but also arbitrarily complex, involving numerous options. In this study, we aim to understand how today’s web configurators support users in their decision making process. In particular, we are interested in understanding how configurators handle decisions that are in conflict with dependencies. To abstract from different visualizations, we classify the existing strategies of web configurators and discuss advantages and disadvantages of them. While we identified eight strategies, a single configurator typically uses several of those strategies.},
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pages = {8},
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author = {Thüm, Thomas and Krieter, Sebastian and Schaefer, Ina},
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||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\TR78W9RU\\Thüm et al. - Product Configuration in the Wild Strategies for C.pdf}
|
||||
}
|
||||
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@article{samerGroupDecisionSupport,
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langid = {english},
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title = {Group {{Decision Support}} for {{Requirements Management Processes}}},
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||||
abstract = {Requests for proposal (RFP) trigger company-internal requirements management (RM) processes in order to assure that offers comply with a given set of customer requirements. As traditional RM approaches require a deep involvement of the requirements managers of a RM project especially when it comes to assigning suitable stakeholders to requirements, the quality of the decisions and the time effort for making correct decisions mainly depends on these experts. In this paper, we present a novel stakeholder assignment approach that reduces the overall involvement of these experts and also limits the uncertainty of overseeing suitable stakeholders at the same time. The assignment of responsible stakeholders is represented as a group decision task expressed in the form of a basic configuration problem. The outcome of such a task is a configuration which is represented in terms of an assignment of responsible stakeholders to corresponding requirements.},
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pages = {6},
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||||
author = {Samer, R and Atas, M and Felfernig, A and Stettinger, M and Falkner, A and Schenner, G},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\7CZIDRDJ\\Samer et al. - Group Decision Support for Requirements Management.pdf}
|
||||
}
|
||||
|
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@article{wangEffectDefaultOptions,
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langid = {english},
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title = {The {{Effect}} of {{Default Options}} on {{Consumer Decisions}} in the {{Product Configuration Process}}},
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abstract = {Abstract. 1 Product configurators have been accepted as an important enabling toolkit to bridge customer needs and company offerings. In the configuration process, customers choose from a set of predefined attributes and their options. The combination of choices forms the desired product configuration. It is observed that some online configurators provide default options for each attribute. Although previous studies show that the default option significantly affects customers’ choices during the product configuration process, it is not clear how other factors mediate this impact. In this paper, we investigate how product types, number of choices, customers’ degree of expertise, the importance of the attributes and the configuring sequence affect consumers’ decisions in the configuration process when default options are presented. Based on a series of empirical experiments, we find that customers’ degree of expertise, the rating of the attribute importance, and the number of attribute choices have a significant effect on customers’ choices for utilitarian products. For hedonic products, the importance of the attributes and the configuring sequence are significant factors.},
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pages = {6},
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||||
author = {Wang, Yue and Mo, Daniel Yiu-Wing},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\NCWNAUII\\Wang und Mo - The Effect of Default Options on Consumer Decision.pdf}
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}
|
||||
|
||||
|
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@@ -297,4 +297,142 @@ OCLC: 935904837}
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\HC6C7C89\\Felfernig et al. - 2018 - Group recommender systems an introduction.pdf}
|
||||
}
|
||||
|
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@article{malthouseMultistakeholderRecommenderSystems2019,
|
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langid = {english},
|
||||
title = {A {{Multistakeholder Recommender Systems Algorithm}} for {{Allocating Sponsored Recommendations}}},
|
||||
abstract = {Retailing and social media platforms recommend two types of items to their users: sponsored items that generate ad revenue and nonsponsored ones that do not. The platform selects sponsored items to maximize ad revenue, often through some form of programmatic auction, and non-sponsored items to maximize user utility with a recommender system (RS). We develop a multiobjective binary integer programming model to allocate sponsored recommendations considering a dual objective of maximizing ad revenue and user utility. We propose an algorithm to solve it in a computationally efficient way. Our method can be applied as a form of post processing to an existing RS, making it widely applicable. We apply the model to data from an online grocery retailer and show that user utility for the recommended items can be improved while reducing ad revenue by a small amount. This multiobjective approach, which unifies programmatic advertising and RS, opens a new frontier for advertising and RS research and we therefore provide an extended discussion of future research topics.},
|
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date = {2019},
|
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pages = {8},
|
||||
author = {Malthouse, Edward C and Vakeel, Khadija Ali and Hessary, Yasaman Kamyab and Burke, Robin and Fudurić, Morana},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\ZCMF3A2J\\Malthouse et al. - 2019 - A Multistakeholder Recommender Systems Algorithm f.pdf},
|
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note = {ZSCC: 0000001}
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}
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@article{loucaJointOptimizationProfit2019,
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langid = {english},
|
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title = {Joint {{Optimization}} of {{Profit}} and {{Relevance}} for {{Recommendation Systems}} in {{E}}-Commerce},
|
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date = {2019},
|
||||
pages = {4},
|
||||
author = {Louca, Raphael and Bhattacharya, Moumita and Hu, Diane and Hong, Liangjie},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\AMRZSDHT\\Louca et al. - 2019 - Joint Optimization of Profit and Relevance for Rec.pdf},
|
||||
note = {ZSCC: 0000001}
|
||||
}
|
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@book{felfernigGroupRecommenderSystems2018a,
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langid = {english},
|
||||
title = {Group Recommender Systems: An Introduction},
|
||||
isbn = {978-3-319-75067-5},
|
||||
shorttitle = {Group Recommender Systems},
|
||||
abstract = {This book presents group recommender systems, which focus on the determination of recommendations for groups of users. The authors summarize different technologies and applications of group recommender systems. They include an in-depth discussion of state-of-the-art algorithms, an overview of industrial applications, an inclusion of the aspects of decision biases in groups, and corresponding de-biasing approaches. The book includes a discussion of basic group recommendation methods, aspects of human decision making in groups, and related applications. A discussion of open research issues is included to inspire new related research. The book serves as a reference for researchers and practitioners working on group recommendation related topics.},
|
||||
date = {2018},
|
||||
author = {Felfernig, Alexander and Boratto, Ludovico and Stettinger, Martin and Tkalčič, Marko},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\5AVYI9FS\\Felfernig et al. - 2018 - Group recommender systems an introduction.pdf}
|
||||
}
|
||||
|
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@inproceedings{delgadoSimpleObjectivesWork2019,
|
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location = {{Copenhagen, Denmark}},
|
||||
title = {Simple {{Objectives Work Better}}},
|
||||
eventtitle = {{{RMSE}} 2019},
|
||||
booktitle = {Proceedings of the {{Workshop}} on {{Recommendation}} in {{Multi}}-Stakeholder {{Environments}}},
|
||||
date = {2019-09-20},
|
||||
author = {Delgado, Joaquin and Lind, Samuel and Radecke, Carl and Konijeti, Satish},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\6CPFZC8M\\Delgado et al_2019_Simple Objectives Work Better.pdf}
|
||||
}
|
||||
|
||||
@article{qiuInfluenceGroupConfiguration2015,
|
||||
langid = {english},
|
||||
title = {Influence of Group Configuration on Online Discourse Reading},
|
||||
volume = {87},
|
||||
issn = {03601315},
|
||||
url = {https://linkinghub.elsevier.com/retrieve/pii/S0360131515001074},
|
||||
doi = {10.1016/j.compedu.2015.04.006},
|
||||
abstract = {Online discourse reading plays a very important role in collaborative discussions. However, not many studies have examined the influence of group configuration on online discourse note reading. The current study examined note reading workloads and participants' perceptions of the three group configurations (large whole class, small whole class, large with subgroups) in online graduate-level courses from one institute. In this mixed-methods study, we analyzed tracking logs from 25 graduate-level online courses (25 instructors and 341 students) and interviews from 10 instructors and 12 graduate students with diverse backgrounds. Findings suggest that all three configurations had their own advantages and disadvantages in fostering online discourse reading. However, our analysis suggests that the advantages of subgroup discussions in supporting note reading outweigh those of the Small and Large configurations. The overload effects in information reading due to large class sizes can be minimized by dividing students into small groups for discussion purposes. Group configuration into proper-size groups may reduce students' reading loads. Interviewees felt that the waving of small groups into large classes benefited their collaborative discussions. We conclude this paper with a list of pedagogical recommendations and new software features that may help group configuration and enhance learning in online courses. This study may have implications for both practitioners and researchers to seek optimal group configurations to achieve more fruitful online discussions through note reading.},
|
||||
journaltitle = {Computers \& Education},
|
||||
shortjournal = {Computers \& Education},
|
||||
urldate = {2019-10-23},
|
||||
date = {2015-09},
|
||||
pages = {151-165},
|
||||
author = {Qiu, Mingzhu and McDougall, Douglas},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\79AJNSBV\\Qiu und McDougall - 2015 - Influence of group configuration on online discour.pdf}
|
||||
}
|
||||
|
||||
@article{atasLiquidDemocracyGroupbased,
|
||||
langid = {english},
|
||||
title = {Liquid {{Democracy}} in {{Group}}-Based {{Configuration}}},
|
||||
abstract = {Group-based configuration systems support scenarios where a group of users configures a product/service. In those groupbased configuration scenarios where the knowledge of some group members regarding items is insufficient, an advice of experts is necessary in order to help members to evaluate products or services. This paper introduces a novel approach which takes advantage of the concept of liquid democracy that allows the delegation of group member votes to experts. Concerning the application of liquid democracy, we propose a new approach based on Multi-attribute Utility theory (MAUT)-based evaluation used to calculate the utility of configurable items. Compared to the traditional approach, the proposed MAUT-based evaluation focuses on the role of experts by assigning higher weights to them. Additionally, the respective expertise level of the experts is taken into account. Consequently, the main contribution of this paper consists in the improvement of group-based configuration by taking liquid democracy aspects into consideration.},
|
||||
pages = {5},
|
||||
author = {Atas, Muesluem and Tran, Thi Ngoc Trang and Samer, Ralph and Felfernig, Alexander and Stettinger, Martin and Fucci, Davide},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\95YRVV9G\\Atas et al. - Liquid Democracy in Group-based Configuration.pdf}
|
||||
}
|
||||
|
||||
@article{mendoncaDecisionmakingCoordinationEfficient2010,
|
||||
langid = {english},
|
||||
title = {Decision-Making Coordination and Efficient Reasoning Techniques for Feature-Based Configuration},
|
||||
volume = {75},
|
||||
issn = {01676423},
|
||||
url = {https://linkinghub.elsevier.com/retrieve/pii/S0167642309001713},
|
||||
doi = {10.1016/j.scico.2009.12.004},
|
||||
abstract = {Software Product Lines is a contemporary approach to software development that exploits the similarities and differences within a family of systems in a particular domain of interest in order to provide a common infrastructure for deriving members of this family in a timely fashion, with high-quality standards, and at lower costs.},
|
||||
number = {5},
|
||||
journaltitle = {Science of Computer Programming},
|
||||
shortjournal = {Science of Computer Programming},
|
||||
urldate = {2019-10-23},
|
||||
date = {2010-05},
|
||||
pages = {311-332},
|
||||
author = {Mendonca, Marcilio and Cowan, Donald},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\PKMHKVGL\\Mendonca und Cowan - 2010 - Decision-making coordination and efficient reasoni.pdf}
|
||||
}
|
||||
|
||||
@inproceedings{felfernigProceedings20thInternational,
|
||||
langid = {english},
|
||||
title = {Proceedings of the 20th {{International Configuration Workshop}}},
|
||||
pages = {132},
|
||||
author = {Felfernig, Alexander and Tiihonen, Juha and Hotz, Lothar and Stettinger, Martin},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\FW39YC58\\Felfernig et al. - University of Hamburg Hamburger Informatik Technol.pdf}
|
||||
}
|
||||
|
||||
@article{andrzejakSoftwareConfigurationDiagnosis,
|
||||
langid = {english},
|
||||
title = {Software {{Configuration Diagnosis}} – {{A Survey}} of {{Existing Methods}} and {{Open Challenges}}},
|
||||
abstract = {As software systems become more complex and featurerich, configuration mechanisms are needed to adapt them to different execution environments and usage profiles. As a consequence, failures due to erroneous configuration settings are becoming more common, calling for effective mechanisms for diagnosis, repair, and prevention of such issues. In this paper, we survey approaches for diagnosing software configuration errors, methods for debugging these errors, and techniques for testing against such issues. In addition, we outline current challenges of isolating and fixing faults in configuration settings, including improving fault localization, handling the case of multi-stack systems, and configuration verification at runtime.},
|
||||
pages = {8},
|
||||
author = {Andrzejak, Artur and Friedrich, Gerhard and Wotawa, Franz},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\9Z76QC7P\\Andrzejak et al. - Software Configuration Diagnosis – A Survey of Exis.pdf}
|
||||
}
|
||||
|
||||
@article{shafieeCostBenefitAnalysis,
|
||||
langid = {english},
|
||||
title = {Cost {{Benefit Analysis}} in {{Product Configuration Systems}}},
|
||||
pages = {5},
|
||||
author = {Shafiee, Sara and Felfernig, Alexander and Hvam, Lars and Piroozfar, Poorang and Forza, Cipriano},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\3HAEAKPS\\Shafiee et al. - Cost Benefit Analysis in Product Configuration Sys.pdf}
|
||||
}
|
||||
|
||||
@article{thumProductConfigurationWild,
|
||||
langid = {english},
|
||||
title = {Product {{Configuration}} in the {{Wild}}: {{Strategies}} for {{Conflicting Decisions}} in {{Web Configurators}}},
|
||||
abstract = {Customization is omnipresent in our everyday live. There are web configurators to customize cars, trucks, bikes, computers, clothes, furniture, and food. At first glance, customization using configurators appears trivial; we simply select the configuration options that we want. However, in practice, options are usually dependent on each other. Reasons for dependencies are manifold and are typically specific for the particular domain. Dependencies can be simple, such as one option requiring or excluding another option, but also arbitrarily complex, involving numerous options. In this study, we aim to understand how today’s web configurators support users in their decision making process. In particular, we are interested in understanding how configurators handle decisions that are in conflict with dependencies. To abstract from different visualizations, we classify the existing strategies of web configurators and discuss advantages and disadvantages of them. While we identified eight strategies, a single configurator typically uses several of those strategies.},
|
||||
pages = {8},
|
||||
author = {Thüm, Thomas and Krieter, Sebastian and Schaefer, Ina},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\TR78W9RU\\Thüm et al. - Product Configuration in the Wild Strategies for C.pdf}
|
||||
}
|
||||
|
||||
@article{samerGroupDecisionSupport,
|
||||
langid = {english},
|
||||
title = {Group {{Decision Support}} for {{Requirements Management Processes}}},
|
||||
abstract = {Requests for proposal (RFP) trigger company-internal requirements management (RM) processes in order to assure that offers comply with a given set of customer requirements. As traditional RM approaches require a deep involvement of the requirements managers of a RM project especially when it comes to assigning suitable stakeholders to requirements, the quality of the decisions and the time effort for making correct decisions mainly depends on these experts. In this paper, we present a novel stakeholder assignment approach that reduces the overall involvement of these experts and also limits the uncertainty of overseeing suitable stakeholders at the same time. The assignment of responsible stakeholders is represented as a group decision task expressed in the form of a basic configuration problem. The outcome of such a task is a configuration which is represented in terms of an assignment of responsible stakeholders to corresponding requirements.},
|
||||
pages = {6},
|
||||
author = {Samer, R and Atas, M and Felfernig, A and Stettinger, M and Falkner, A and Schenner, G},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\7CZIDRDJ\\Samer et al. - Group Decision Support for Requirements Management.pdf}
|
||||
}
|
||||
|
||||
@article{wangEffectDefaultOptions,
|
||||
langid = {english},
|
||||
title = {The {{Effect}} of {{Default Options}} on {{Consumer Decisions}} in the {{Product Configuration Process}}},
|
||||
abstract = {Abstract. 1 Product configurators have been accepted as an important enabling toolkit to bridge customer needs and company offerings. In the configuration process, customers choose from a set of predefined attributes and their options. The combination of choices forms the desired product configuration. It is observed that some online configurators provide default options for each attribute. Although previous studies show that the default option significantly affects customers’ choices during the product configuration process, it is not clear how other factors mediate this impact. In this paper, we investigate how product types, number of choices, customers’ degree of expertise, the importance of the attributes and the configuring sequence affect consumers’ decisions in the configuration process when default options are presented. Based on a series of empirical experiments, we find that customers’ degree of expertise, the rating of the attribute importance, and the number of attribute choices have a significant effect on customers’ choices for utilitarian products. For hedonic products, the importance of the attributes and the configuring sequence are significant factors.},
|
||||
pages = {6},
|
||||
author = {Wang, Yue and Mo, Daniel Yiu-Wing},
|
||||
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\NCWNAUII\\Wang und Mo - The Effect of Default Options on Consumer Decision.pdf}
|
||||
}
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user