通过跨域的隐私用户模型传输建议

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS

User Modeling and User-Adapted Interaction Pub Date : 2021-11-08 DOI:10.1007/s11257-021-09307-6

Frederic Raber, Antonio Krüger

引用次数: 2

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Transferring recommendations through privacy user models across domains

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来源期刊

User Modeling and User-Adapted Interaction 工程技术-计算机：控制论

CiteScore

8.90

自引率

8.30%

发文量

审稿时长

>12 weeks

期刊介绍： User Modeling and User-Adapted Interaction provides an interdisciplinary forum for the dissemination of novel and significant original research results about interactive computer systems that can adapt themselves to their users, and on the design, use, and evaluation of user models for adaptation. The journal publishes high-quality original papers from, e.g., the following areas: acquisition and formal representation of user models; conceptual models and user stereotypes for personalization; student modeling and adaptive learning; models of groups of users; user model driven personalised information discovery and retrieval; recommender systems; adaptive user interfaces and agents; adaptation for accessibility and inclusion; generic user modeling systems and tools; interoperability of user models; personalization in areas such as; affective computing; ubiquitous and mobile computing; language based interactions; multi-modal interactions; virtual and augmented reality; social media and the Web; human-robot interaction; behaviour change interventions; personalized applications in specific domains; privacy, accountability, and security of information for personalization; responsible adaptation: fairness, accountability, explainability, transparency and control; methods for the design and evaluation of user models and adaptive systems