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A generalized taxonomy of explanations styles for traditional and social recommender systems

Alexis Papadimitriou, Panagiotis Symeonidis, Yannis Manolopoulos
2011 Data mining and knowledge discovery  
This relation was one-to-one, meaning that for each different recommender systems category, there was a different explanation style category.  ...  Moreover, since there is inadequate research in the impact of social web in contemporary recommender systems and their explanation styles, we study new emerged social recommender systems i.e.  ...  The rest of this paper is organized as follows. In Sect. 1.1 we define a generalized taxonomy of explanation styles.  ... 
doi:10.1007/s10618-011-0215-0 fatcat:3jp3b4muz5fm3neqfuk7ekwzru

A Taxonomy for Generating Explanations in Recommender Systems

Gerhard Friedrich, Markus Zanker
2011 The AI Magazine  
This article proposes a taxonomy to categorize and review the research in the area of explanations.  ...  In recommender systems, explanations serve as an additional type of information that can help users to better understand the system's output and promote objectives such as trust, confidence in decision  ...  and Tuzhilin 2005) .PrePrint of the following article: Friedrich, G., Zanker, M.: A Taxonomy for Generating Explanations in Recommender Systems, AI Magazine, Vol 32(3), 2011, pp. 90-98.  ... 
doi:10.1609/aimag.v32i3.2365 fatcat:246pbmcohvarbeck7g7uq743fy

Recommender systems survey

J. Bobadilla, F. Ortega, A. Hernando, A. Gutiérrez
2013 Knowledge-Based Systems  
This article provides an overview of recommender systems as well as collaborative filtering methods and algorithms; it also explains their evolution, provides an original classification for these systems  ...  Currently, these systems are incorporating social information. In the future, they will use implicit, local and personal information from the Internet of things.  ...  Authors propose a new classification of the recommendation justifications: Keyword Style Explanation (for content-based RS), Neighbor Style Explanation (for collaborative filtering RS) and Influence Style  ... 
doi:10.1016/j.knosys.2013.03.012 fatcat:z3gc5qjhkrcd5dsaah2gjdyu3y

Social Tagging and Music Information Retrieval

Paul Lamere
2008 Journal of New Music Research  
In this article, we describe the state of the art in commercial and research social tagging systems for music. We describe how tags are collected and used in current systems.  ...  Imperfect as they may be, social tags are a source of human-generated contextual knowledge about music that may become an essential part of the solution to many MIR problems.  ...  Acknowledgments Thanks to the many individuals that provided input and support including the management at and Sun Microsystems Inc., Jeff Alexander, Jean-Julien Aucouturier, Thierry Bertin-Mahieux  ... 
doi:10.1080/09298210802479284 fatcat:ztwamgwh2ngd7mmntzlp6pl5u4

A systematic review and taxonomy of explanations in decision support and recommender systems

Ingrid Nunes, Dietmar Jannach
2017 User modeling and user-adapted interaction  
As a result, we derive a novel comprehensive taxonomy of aspects to be considered when designing explanation facilities for current and future decision support systems.  ...  The taxonomy includes a variety of different facets, such as explanation objective, responsiveness, content and presentation.  ...  Acknowledgments The authors would like to thank Michael Jugovac for carefully proofreading this paper. Ingrid Nunes also would like to thank for research grants CNPq  ... 
doi:10.1007/s11257-017-9195-0 fatcat:zffwtjitfzcmhewinlyz6bxpxa

Explaining Review-Based Recommendations: Effects of Profile Transparency, Presentation Style and User Characteristics

Diana C. Hernandez-Bocanegra, Jürgen Ziegler
2021 I-COM: A Journal of Interactive and Cooperative Media  
Additionally, we also aimed to test the effect of different display styles (bar chart and table) on the perception of review-based explanations for recommended hotels, as well as how useful users find  ...  AbstractProviding explanations based on user reviews in recommender systems (RS) may increase users' perception of transparency or effectiveness.  ...  Experiment 1: System and Explanation Quality Perception, between Subjects We implemented a prototype of a hotel recommender system that provides both recommendations and explanations, based on the design  ... 
doi:10.1515/icom-2020-0021 fatcat:cps54cdiqrepngvwblnrojmxme

Directions for Explainable Knowledge-Enabled Systems [article]

Shruthi Chari, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness
2020 arXiv   pre-print
We believe this set of explanation types will help future system designers in their generation and prioritization of requirements and further help generate explanations that are better aligned to users  ...  We define each type and provide an example question that would motivate the need for this style of explanation.  ...  We thank our colleagues from IBM Research, Amar Das, Morgan Foreman and Ching-  ... 
arXiv:2003.07523v1 fatcat:mnsqhmeq6nfttirizkt5mipvwy

Explainable Recommendation: A Survey and New Perspectives [article]

Yongfeng Zhang, Xu Chen
2020 arXiv   pre-print
In recent years, a large number of explainable recommendation approaches -- especially model-based methods -- have been proposed and applied in real-world systems.  ...  Explainable recommendation attempts to develop models that generate not only high-quality recommendations but also intuitive explanations.  ...  Any opinions, findings and conclusions expressed in this material are those of the authors and do not necessarily reflect those of the sponsors.  ... 
arXiv:1804.11192v10 fatcat:scsd3htz65brbiae35zd3nixe4

Recommender Systems, Semantic-Based [chapter]

Fatih Gedikli, Dietmar Jannach
2014 Encyclopedia of Social Network Analysis and Mining  
In addition, users generally favored the tag cloud interfaces over keyword-style explanations.  ...  In [7] , the authors propose a system called Internet Social Interest Discovery (ISID) and show its application for the social bookmarking system Delicious.  ... 
doi:10.1007/978-1-4614-6170-8_116 fatcat:qdiedjovxrauxjitbpjx7zi3qe

Exploring Foundations for Using Simulations in IS Research

Stefano Za, Paolo Spagnoletti, Robert Winter, Tobias Mettler
2018 Communications of the Association for Information Systems  
We identify a set of stylized facts for characterizing the ways in which IS simulation studies present the premise, the inference, and the contribution.  ...  In this paper, we examine how IS research uses different simulation approaches and, thereby, provide insights and methodological recommendations for future studies.  ...  view on the use of IS simulations and to obtain a more complete foundation for deriving compositional styles and identifying exemplary configurations of simulation studies in general IS research.  ... 
doi:10.17705/1cais.04210 fatcat:jyerxaaqobg4tkjfo7dch7ofni

Incorporating group recommendations to recommender systems: Alternatives and performance

F. Ortega, J. Bobadilla, A. Hernando, A. Gutiérrez
2013 Information Processing & Management  
I will also include a running example of a recommender system with 8 users and 10 items detailing all the steps of the method I will present.  ...  The following list contains all my publications related to recommender systems: ABSTRACT The importance of recommender systems has grown exponentially with the advent of social networks.  ...  Authors propose a new classification of the recommendation justifications: keyword style explanation (for content-based RS), neighbor style explanation (for collaborative filtering RS) and influence style  ... 
doi:10.1016/j.ipm.2013.02.003 fatcat:vns4q3dex5fhfmao774o3dhasm

A Context-Sensitive Nomadic Exhibition Guide [chapter]

Reinhard Oppermann, Marcus Specht
2000 Lecture Notes in Computer Science  
The paper describes a nomadic guide that considers the context of use (CoU) for information selection and presentation.  ...  A prototype of a nomadic system that adapts the information to the user needs is presented.  ...  No explanation is made why the visitor follows a particular visiting style, and no prediction is made when the visiting style changes.  ... 
doi:10.1007/3-540-39959-3_10 fatcat:53srjacervea5erz6ryrxbjtaq

A TV Program Recommender Framework

Na Chang, Mhd Irvan, Takao Terano
2013 Procedia Computer Science  
We give an overview of literature research about TV program recommender systems and propose a smart and social TV program recommender framework for Smart TV, which integrates the Internet and Web 2.0 features  ...  In the area of intelligent systems, research about recommender systems is a critical topic and has been applied in many fields. In this paper, we focus on TV program recommender systems.  ...  For instance, According to [2] , [21] , [20] , the role of transparency in a recommender system is very important, and the recommender system can convey its inner logic to the user via the explanation  ... 
doi:10.1016/j.procs.2013.09.136 fatcat:dj2jdwrsjzecjnba4a2zfcb26m

Designing an Automated Intelligent e-Learning System to Enhance the Knowledge using Machine Learning Techniques

G Deena, K. Raja
2019 International Journal of Advanced Computer Science and Applications  
It enables the selection of suitable topics and framing an appropriate course syllabus and assessment questions for the users. In it, the learner satisfies topic selection based on Bloom's taxonomy.  ...  It was observed that the proposed methodology is effective in applying the topic selection hierarchical method to make a perfect syllabus for the course, and assessment questions.  ...  Thus, there is a gap between the learner and the learning system in the traditional system.  ... 
doi:10.14569/ijacsa.2019.0101215 fatcat:224tyqhuxfawrdamumjpc6tbd4

Explaining Conclusions from Diverse Knowledge Sources [chapter]

J. William Murdock, Deborah L. McGuinness, Paulo Pinheiro da Silva, Chris Welty, David Ferrucci
2006 Lecture Notes in Computer Science  
Systems that use both structured and unstructured information face a significant challenge when trying to convince a user to believe their results: the sources and the kinds of reasoning that are applied  ...  We provide a browser for exploring PML and thus enabling a user to understand how some conclusion was reached.  ...  This paper is an updated version of a technical report .  ... 
doi:10.1007/11926078_62 fatcat:xlak4dzu5fcpnnihin2w7v2gy4
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