User Modeling And User-adapted Interaction

雜志介紹

User Modeling And User-adapted Interaction雜志介紹

《User Modeling And User-adapted Interaction》是一本以English為主的未開(kāi)放獲取國(guó)際優(yōu)秀期刊，中文名稱(chēng)用戶(hù)建模和用戶(hù)自適應(yīng)交互，本刊主要出版、報(bào)道計(jì)算機(jī)科學(xué)-COMPUTER SCIENCE, CYBERNETICS領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專(zhuān)業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專(zhuān)業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為3，最新CiteScore 指數(shù)為8.9。

本刊近期中國(guó)學(xué)者發(fā)表的論文主要有：

• Improving session-based recommendation with contrastive learning

  Author: Tai, Wenxin; Lan, Tian; Wu, Zufeng; Wang, Pengyu; Wang, Yixiang; Zhou, Fan

• Eye-tracking-based personality prediction with recommendation interfaces

  Author: Chen, Li; Cai, Wanling; Yan, Dongning; Berkovsky, Shlomo

• How do item features and user characteristics affect users' perceptions of recommendation serendipity? A cross-domain analysis

  Author: Wang, Ningxia; Chen, Li

• Clustering of conversational bandits with posterior sampling for user preference learning and elicitation

  Author: Li, Qizhi; Zhao, Canzhe; Yu, Tong; Wu, Junda; Li, Shuai

英文介紹

User Modeling And User-adapted Interaction雜志英文介紹

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