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Trust and Trustworthiness in Social Recommender Systems [article]

Taha Hassan, D. Scott McCrickard
2019 arXiv   pre-print
We examine these assumptions with aid from the user-centric framework of trustworthiness in social recommendation.  ...  The prevalence of misinformation on online social media has tangible empirical connections to increasing political polarization and partisan antipathy in the United States.  ...  The present state of recommender systems makes it difficult to get recommendations on a specified social perspective.  ... 
arXiv:1903.01780v1 fatcat:qchpnqpbrzevxmjfgm3bdpee2e

Mobile Recommender Systems

Francesco Ricci
2010 Information Technology & Tourism  
In this paper we review the major issues and opportunities that the mobile scenario opens to the application of recommender systems especially in the area of travel and tourism.  ...  Mobile phones are becoming a primary platform for information access and when coupled with recommender systems technologies they can become key tools for mobile users both for leisure and business applications  ...  in making decisions.  ... 
doi:10.3727/109830511x12978702284390 fatcat:5236mvpazzf3hnb2urwaqux22a

Mobile recommender systems in tourism

Damianos Gavalas, Charalampos Konstantopoulos, Konstantinos Mastakas, Grammati Pantziou
2014 Journal of Network and Computer Applications  
a social component, which allows for lots of elements to be reviewed, commented and rated by others users to assist in the complex decision-making process that pertains to the tourism domain. ■ DieToRecs  ...  feeling LoCo (Savage et al., 2011) 2011 Content-based filtering CARS Restaurants, hotels, bars, walking trails Use of social media (foursquare) profile data for personalized recommendations  ... 
doi:10.1016/j.jnca.2013.04.006 fatcat:k7ks4oftvbai7ctmy6h7iltgfa

A general framework for intelligent recommender systems

Jose Aguilar, Priscila Valdiviezo-Díaz, Guido Riofrio
2017 Applied Computing and Informatics  
In this paper, we propose a general framework for an intelligent recommender system that extends the concept of a knowledge-based recommender system.  ...  In this work, we implement one intelligent recommender system based on this framework, using Fuzzy Cognitive Maps (FCMs).  ...  Introduction The main goal of the Recommender Systems (RS) was to help users in their decision making.  ... 
doi:10.1016/j.aci.2016.08.002 fatcat:jrnuxnzgl5fqpeibchrhrasdzy

"Strongly Recommended" Revisiting Decisional Privacy to Judge Hypernudging in Self-Tracking Technologies

Marjolein Lanzing
2018 Philosophy & Technology  
This paper explores and rehabilitates the value of decisional privacy as a conceptual tool, complementary to informational privacy, for critiquing personalized choice architectures employed by self-tracking  ...  Based on large aggregates of personal data and the data of other users, self-tracking technologies offer personalized feedback that nudges the user into behavioral change.  ...  In order to make decision-making processes more efficient, ICTs use profiles: stereotypical (social) categorizations of data patterns that can are powered by surveillance.  ... 
doi:10.1007/s13347-018-0316-4 fatcat:eig7wroodbbw7c3f2f4eso7z6m

Recommender Systems: Introduction and Challenges [chapter]

Francesco Ricci, Lior Rokach, Bracha Shapira
2015 Recommender Systems Handbook  
Apart from the RSs that have been developed to be dedicated to social media, recommender systems of other domains can benefit from the new types of data that social media introduces about users to enhance  ...  For recommendations of social content, the chapter reviews various social content media domains, and provides a detailed case study and insights learned from a recommender system operated in the enterprise  ... 
doi:10.1007/978-1-4899-7637-6_1 fatcat:rawfrtd24favficr2szferihgi

UNESCO Recommendation on Open Science [article]

2021 Zenodo  
The General Conference of the United Nations Educational, Scientific and Cultural Organization (UNESCO), meeting in Paris, from 9 to 24 November 2021, at its 41st session, ...  ...  Member States report to it, at such dates and in such manner as shall be determined, on the action taken in pursuance of this Recommendation.  ...  , data and information, enhancing scientific collaboration and science-and knowledge-based decision making to respond to global emergencies and increase the resilience of societies, Committed to leaving  ... 
doi:10.5281/zenodo.5834767 fatcat:3vdgrmg6yndndpu75zb4smjchu

Care and Scale: Decorrelative Ethics in Algorithmic Recommendation

Nick Seaver
2021 Cultural Anthropology  
they relate to each other in the process.  ...  The people who make algorithmic recommender systems want apparently incompatible things: they pride themselves on the scale at which their software works, but they also want to treat their materials and  ...  Social Computing at UC Irvine.  ... 
doi:10.14506/ca36.3.11 fatcat:fbxfmymptrbyloln6wtx3ahcnm

'Datafied' reading

Jesse Haapoja, Airi Lampinen
2018 Proceedings of the 10th Nordic Conference on Human-Computer Interaction - NordiCHI '18  
We apply Goffman's frame analysis to a qualitative study of Scoopinion, a collaborative news recommender system that used tracked reading time to recommend articles from whitelisted websites.  ...  We investigate how individuals made sense of behavioral data and algorithmic recommendations in the context of a system that transformed their online reading activities into a new data source.  ...  ACKNOWLEDGMENTS We thank our anonymous interviewees as well as the Scoopinion team, in particular Ville Sundberg who was interviewed for the study.  ... 
doi:10.1145/3240167.3240194 dblp:conf/nordichi/HaapojaL18 fatcat:sm3ykykucjbzrkawfqnd2c6cqu

Recommender systems and the amplification of extremist content

Joe Whittaker, Seán Looney, Alastair Reed, Fabio Votta
2021 Internet Policy Review  
In this article, we make two contributions to this debate. Firstly, we provide a novel empirical analysis of three platforms' recommendation systems when interacting with far-right content.  ...  We argue that policymakers have yet to fully understand the problems inherent in "de-amplifying" legal, borderline content and argue that a co-regulatory approach may offer a route towards tackling many  ...  Acknowledgments We are grateful to our reviewers Amélie Heldt, Jo Pierson, Francesca Musiani, and Frédéric Dubois, who each helped improve this article through the peer-review process.  ... 
doi:10.14763/2021.2.1565 fatcat:ljx4odbad5ddxeuzyeu5lgr4ju

Defining a critical data literacy for recommender systems: A media-grounded approach

Arnaud Claes, Thibault Philippette
2020 Journal of Media Literacy Education  
Building on current critical data literacies approaches, key concepts from the philosophy of technology and a media literacy perspective, this paper suggests a framework defining the competences needed  ...  However, a critical review of the current literature on the subject indicates that these recommender systems may also be beneficial to the user in specific circumstances.  ...  a series of problems or even to monitor a transformation in the social sphere, what some call "data-driven decisions" (Mandinach & Gummer, 2013) .  ... 
doi:10.23860/jmle-2020-12-3-3 fatcat:gh2xt3omfjc2tigcx75cfcvd2i

Conversational Recommendation: Theoretical Model and Complexity Analysis [article]

Tommaso Di Noia, Francesco Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo
2022 arXiv   pre-print
This is usually accomplished by making inferences about the best next question to ask to the user.  ...  This model, which is designed to cover a range of application scenarios, allows us to investigate the efficiency of conversational approaches in a formal way, in particular with respect to the computational  ...  Introduction System-generated recommendations have become a common feature of modern online services such as e-commerce sites, media streaming platforms, and social networks.  ... 
arXiv:2111.05578v3 fatcat:gcqhgtqsyfc4hm3uqfaf66b4ku

Recommendations for the Sharing Economy: (Re-)Balancing Power

Gemma Newlands, Christoph Lutz, Christian Fieseler
2018 Social Science Research Network  
Recommendations for Policy Makers Policy makers should make insight-based decisions.  ...  To date, much of the data-driven research into the sharing economy platforms has emerged from in-house researchers or from think tanks with clear agendas.  ... 
doi:10.2139/ssrn.3106584 fatcat:jeqzusi5lzfyrcc5sovtrkkygy

On the reproducibility of meta-analyses: six practical recommendations

Daniël Lakens, Joe Hilgard, Janneke Staaks
2016 BMC Psychology  
Acknowledgements We would like to thank Bianca Kramer for feedback on a previous draft of this manuscript.  ...  The authors received no grant from any funding agency in the public, commercial or not-for-profit sectors.  ...  The main goal of pre-registration is to distinguish theory-driven choices in the analysis plan from data-driven choices that might be biased by the outcome of the meta-analysis, not to prohibit data-driven  ... 
doi:10.1186/s40359-016-0126-3 pmid:27241618 pmcid:PMC4886411 fatcat:6dgrh6dvlzccblewnr7pgyndqu

Argument-based critics and recommenders: A qualitative perspective on user support systems

Carlos Iván Chesñevar, Ana Gabriela Maguitman, Guillermo Ricardo Simari
2006 Data & Knowledge Engineering  
In recent years we have witnessed the wide-spread evolution of support tools that operate in association with the user to accomplish a range of computer-mediated tasks.  ...  At the same time, defeasible argumentation has evolved as a successful approach in AI to model commonsense qualitative reasoning, with applications in many areas, such as agent theory, knowledge engineering  ...  Acknowledgements The authors would like to thank anonymous reviewers for their valuable suggestions and comments which helped improve the original version of this article.  ... 
doi:10.1016/j.datak.2005.09.005 fatcat:l3cxjonxzrgnlnwrbvfqbo2s7i
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