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检索条件"主题词=Recommender Algorithms"
12 条 记 录,以下是1-10 订阅
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Toxic recommender algorithms: immunities, liabilities and the regulated self-regulation of the Digital Services Act and the Online Safety Act
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Journal of Media Law 2025年 第2期16卷
作者: Kohl, Uta University of Southampton Southampton United Kingdom Visiting Professor of Law and Technology CUHK Hong Kong
With focus on toxic recommender algorithms, the article argues that the platform immunities granted in the early 2000s are incompatible with the regulated self-regulation of the EU Digital Services Act 2022 [DSA] and ... 详细信息
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Truth as social practice in a digital era: iteration as persuasion
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AI & SOCIETY 2023年 第5期38卷 2009-2023页
作者: Foster, Clare L. E. Univ Cambridge Ctr Res Arts Social Sci & Humanities CRASSH Cambridge England
This article reflects on the problem of false belief produced by the integrated psychological and algorithmic landscape humans now inhabit. Following the work of scholars such as Lee McIntyre (Post-Truth, MIT Press, 2... 详细信息
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8-10% of algorithmic recommendations are 'bad', but... an exploratory risk-utility meta-analysis and its regulatory implications
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INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT 2024年 75卷
作者: Hilbert, Martin Thakur, Arti Flores, Pablo M. Zhang, Xiaoya Bhan, Jee Young Bernhard, Patrick Ji, Feng Univ Calif Davis Dept Commun Davis CA 95616 USA Univ Florida Dept Family Youth & Community Sci Gainesville FL USA Univ Calif Davis Dept Sociol Davis CA USA Univ Calif Davis Dept Polit Sci Davis CA USA Univ Toronto Dept Appl Psychol & Human Dev Toronto ON Canada
We conducted a quantitatively coarse-grained, but wide-ranging evaluation of the frequency recommender algorithms provide 'good' and 'bad' recommendations, with a focus on the latter. We found 151 algo... 详细信息
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Better Edges not Bigger Graphs: An Interaction-Driven Friendship recommender Algorithm for Social Networks  5
Better Edges not Bigger Graphs: An Interaction-Driven Friend...
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5th International Conference on Cloud Computing and Artificial Intelligence - Technologies and Applications (CloudTech)
作者: Alshammari, Aadil Rezgui, Abdelmounaam New Mexico Inst Min & Technol Dept Comp Sci & Engn Socorro NM 87801 USA Illinois State Univ Sch Informat Technol Normal IL 61761 USA
Online social networks have been increasingly growing over the past few years. One of the critical factors that drive these social networks' success and growth is the friendship recommender algorithms, which are u... 详细信息
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A Trust-aware recommender Algorithm based on Users Overlapping Community Structure  16
A Trust-aware Recommender Algorithm based on Users Overlappi...
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16th International Conference on Advances in ICT for Emerging Regions (ICTer)
作者: Moradi, Parham Rezaimehr, Fatemeh Ahmadian, Sajad Jalili, Mahdi Univ Kurdistan Dept Comp Engn Sanandaj Iran RMIT Univ Sch Engn Melbourne Vic Australia
Retrieving items in online e-commerce systems with abundance of products is time consuming for users. To deal with this issue, recommender systems (RS) aims to help users by suggesting their interested items in the pr... 详细信息
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OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records
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JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION 2016年 第2期23卷 339-348页
作者: Chen, Jonathan H. Podchiyska, Tanya Altman, Russ B. Vet Affairs Palo Alto Hlth Care Syst Ctr Innovat Implementat Ci2i Palo Alto CA USA Stanford Univ Ctr Primary Care & Outcomes Res PCOR Stanford CA 94305 USA Stanford Univ Biomed Informat Training Program Stanford CA 94305 USA Stanford Univ Dept Bioengn Stanford CA 94305 USA Stanford Univ Dept Genet Stanford CA 94305 USA Stanford Univ Dept Med Stanford CA 94305 USA
Objective: To answer a "grand challenge" in clinical decision support, the authors produced a recommender system that automatically data-mines inpatient decision support from electronic medical records (EMR)... 详细信息
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Joint Workshop on Interfaces and Human Decision Making for recommender Systems (#IntRS)  15
Joint Workshop on Interfaces and Human Decision Making for R...
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Proceedings of the 9th ACM Conference on recommender Systems
作者: John O'Donovan Nava Tintarev Alexander Felfernig Peter Brusilovsky Giovanni Semeraro Pasquale Lops University of California Santa Barbara Santa Barbara CA USA University of Aberdeen Aberdeen Scotland Uk Technische Universität Graz Graz Austria University of Pittsburgh Pittsburgh USA University of Bari Italy Bari Italy
As an interactive intelligent system, recommender systems are developed to give recommendations that match users' preferences. Since the emergence of recommender systems, a large majority of research focuses on ob... 详细信息
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RecSys'14 Joint Workshop on Interfaces and Human Decision Making for recommender Systems  14
RecSys'14 Joint Workshop on Interfaces and Human Decision Ma...
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8th ACM Conference on recommender Systems (RecSys)
作者: Tintarev, Nava O'Donovan, John Brusilovsky, Peter Felfernig, Alexander Semeraro, Giovanni Lops, Pasquale Univ Aberdeen Dept Comp Sci Aberdeen Scotland Univ Calif Santa Barbara Dept Comp Sci Santa Barbara CA 93106 USA Univ Pittsburgh Sch Informat Sci Pittsburgh PA 15260 USA Graz Univ Technol Inst Software Technol Graz Austria Univ Bari Aldo Moro Dept Comp Sci Bari Italy
As an interactive intelligent system, recommender systems are developed to give predictions that match users preferences. Since the emergence of recommender systems, a large majority of research focuses on objective a... 详细信息
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Cross-domain Scientific Collaborations Prediction with Citation Information  38
Cross-domain Scientific Collaborations Prediction with Citat...
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38th Annual IEEE International Computer Software and Applications Conference (COMPSAC)
作者: Guo, Ying Chen, Xi Tsinghua Univ Dept Automat Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China
Cross-domain Scientific Collaborations have promoted rapid development of science and generated many innovative breakthroughs. However, predicting cross-domain scientific collaboration problem is rarely studied and co... 详细信息
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Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach
Boolean Matrix Factorisation for Collaborative Filtering: An...
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16th International Conference on Artificial Intelligence - Methodology, Systems, and Applications
作者: Ignatov, Dmitry I. Nenova, Elena Konstantinova, Natalia Konstantinov, Andrey V. Natl Res Univ Higher Sch Econ Moscow Russia Imhonet Moscow Russia Wolverhampton Univ Wolverhampton W Midlands England
We propose a new approach for Collaborative filtering which is based on Boolean Matrix Factorisation (BMF) and Formal Concept Analysis. In a series of experiments on real data (MovieLens dataset) we compare the approa... 详细信息
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