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Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization最新文献

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Multi-view Visual Bayesian Personalized Ranking from Implicit Feedback 基于内隐反馈的多视图可视化贝叶斯个性化排序
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209260
Haihua Luo, Xiaoyan Zhang, Bowei Chen, G. Guo
{"title":"Multi-view Visual Bayesian Personalized Ranking from Implicit Feedback","authors":"Haihua Luo, Xiaoyan Zhang, Bowei Chen, G. Guo","doi":"10.1145/3209219.3209260","DOIUrl":"https://doi.org/10.1145/3209219.3209260","url":null,"abstract":"In this paper, we propose a new factorization model that combines multi-view visual feature information with the implicit feedback data for prediction and ranking. The visual information is integrated into a collaborative filtering framework. The visual features of images are extracted by using a deep neural network. In order to conduct personalized recommendation better, the multi-view visual features are fused through user related weights. The user related weights reflect the personalized visual preference for items. They are different and independent between users. Experimental results show that our model with multi-view visual information achieves the better performance than models without or with only single-view visual information.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115930213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 94
Regulating Collaborative Learning in SQL-Tutor SQL-Tutor中协作学习的规范
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3213597
Ashish Sharma
{"title":"Regulating Collaborative Learning in SQL-Tutor","authors":"Ashish Sharma","doi":"10.1145/3209219.3213597","DOIUrl":"https://doi.org/10.1145/3209219.3213597","url":null,"abstract":"In recent years, there has been a surge in the use of intelligent computer-supported collaborative learning (CSCL) tools to improve student learning. The aim of this project is to provide adaptive support for student collaboration. My work will focus on designing effective interventions to enhance peer-to-peer collaboration in the context of an Intelligent Tutoring System (ITS), as well as to promote socially-shared regulation of learning (SSRL). In online collaborative learning environments, it can be challenging to engage students. A lack of genuine interaction, social identity, background of students and user empowerment may have negative effects on the learning process. This research will focus on virtualization of the online collaboration, such that the system would help students collaborate as well as support self-regulation and group regulation to achieve higher learning gains.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115604945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robots that Listen to People's Hearts: The Role of Emotions in the Communication between Humans and Social Robots 倾听人心的机器人:情感在人类与社交机器人交流中的作用
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209268
Ana Paiva
{"title":"Robots that Listen to People's Hearts: The Role of Emotions in the Communication between Humans and Social Robots","authors":"Ana Paiva","doi":"10.1145/3209219.3209268","DOIUrl":"https://doi.org/10.1145/3209219.3209268","url":null,"abstract":"As robots begin to integrate our world and invade our streets and homes, they must act as autonomous and intelligent beings. However, so far, they are deprived of our responsive and emotional capacities, lacking awareness of the social world we live in. In the future, robots should be able to take into account these distinctive dimensions of human social interactions to be able to act appropriately within such social contexts. To do this, they must adapt and embody the essence of social and emotional intelligence. This not only includes the ability to recognise human emotions and social interactions but also understand them, deliberate them and act accordingly. Lately, significant research has been carried out in an attempt to find ways to build social and emotional robots that are able to perceive the user's emotions, adapt to them, and react appropriately. This talk will, therefore, provide an overview of the area of emotions in social interactions established between humans and social robots. In this analysis, I will use scenarios from educational and entertainment robotics, outline the process of building emotional social robots and finally proceed to interpret the effect that such capabilities have on user's interactions, learning, motivation, relationship and trust. I believe that by studying and engineering emotional and social interactions \"for\" and \"with\" robots, we have the opportunity to build a new generation of natural, engaging, effective and, most importantly, \"humane\" AI.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133458267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Session details: Personalized Social Web II 会议细节:个性化社交网络II
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3258615
N. Tintarev
{"title":"Session details: Personalized Social Web II","authors":"N. Tintarev","doi":"10.1145/3258615","DOIUrl":"https://doi.org/10.1145/3258615","url":null,"abstract":"","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128328433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
WikiRec
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3213594
Heba Ismail
{"title":"WikiRec","authors":"Heba Ismail","doi":"10.1145/3209219.3213594","DOIUrl":"https://doi.org/10.1145/3209219.3213594","url":null,"abstract":"Wikis are attracting lots of attention for informal learning. The nature of wikis enables learners to freely navigate the learning environment and independently construct knowledge without being forced to follow a predefined learning path in accordance with the constructivist learning theory. Recommendation systems (RS) can provide useful content recommendations in different contexts. To our best knowledge, no effective personalized content recommendation approach has yet been defined to support informal learning in wikis. Therefore, we propose a personalized content recommendation framework to extrapolate topical navigation graphs from learners' free navigation and integrate them with fuzzy thesauri for automatic and adaptive personalized content recommendations to support informal learning in wikis.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117335505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Integrating Item Based Stereotypes in Recommender Systems 在推荐系统中集成基于项目的刻板印象
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3213593
Nourah A. ALRossais
{"title":"Integrating Item Based Stereotypes in Recommender Systems","authors":"Nourah A. ALRossais","doi":"10.1145/3209219.3213593","DOIUrl":"https://doi.org/10.1145/3209219.3213593","url":null,"abstract":"With the growing popularity of e-commerce, recommender systems play a critical role to enhance the user experience and increase sales revenue and profitability for a company. However, the accuracy of recommender systems is often suffering from data sparsity and the new user/item problems. A promising approach in solving the new user problem is stereotype based modeling. The proposed PhD research will go one step further and develop an item based recommender system employing the stereotype approach for item modeling. For the evaluation of our stereotype-based recommender system, the study will employ the MovieLens and IMDb datasets. These two datasets are integrated using the iSynchronizer tool that was developed by the researchers for tasks such as this. Early evaluation results demonstrate promising prediction accuracy with user-based stereotypes, especially for users with a small number of existing ratings.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115480786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Interpreting User Input Intention in Natural Human Computer Interaction 自然人机交互中用户输入意图的解释
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209267
Yuanchun Shi
{"title":"Interpreting User Input Intention in Natural Human Computer Interaction","authors":"Yuanchun Shi","doi":"10.1145/3209219.3209267","DOIUrl":"https://doi.org/10.1145/3209219.3209267","url":null,"abstract":"Human Computer Interaction (HCI)1 is about information exchange between human and computers. Interaction between users and computers occurs at the User Interface (UI). Now, computers become pervasive, they are embedded in everyday things and UIs are the main value-added competitive advantages. UIs should be more natural for users. NUI (natural user interface) expands forms beyond formal input devices like the mouse and keyboard to more and more natural forms of interaction such as touch, speech, gestures, handwriting, and vision. Unlike speech, handwriting and vision, which have been researched for decades and put into practical use recently, touch and gestures are interaction tasks related, and yet lack of study. This talk will introduce methods of modelling user input action based on data with the random noise for fast touch input and natural gestures.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115746375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
ReEL 卷
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209237
Ramesh Baral, Xiaolong Zhu, S. Iyengar, Tao Li
{"title":"ReEL","authors":"Ramesh Baral, Xiaolong Zhu, S. Iyengar, Tao Li","doi":"10.1145/3209219.3209237","DOIUrl":"https://doi.org/10.1145/3209219.3209237","url":null,"abstract":"General Information: Lake Washington is a 3,000 acre oxbow lake of the Mississippi River. It is one of Mississippi’s largest natural lakes, with scenic cypress forests in both ends and most of the western shore, and supports an excellent fishery for crappie, bream, and catfish. Location: Off of Highway 1 in Washington County about 20 miles south of Greenville and near the towns of Glen Allen and Chatham. Fishery Management: Crappie, Largemouth Bass, bream, and catfish. Purchase a Fishing License: https://www.ms.gov/mdwfp/licensing/login","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117057805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 31
Session details: Adaptive Hypermedia and the Semantic Web 会话细节:自适应超媒体和语义网
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3258611
J. Masthoff
{"title":"Session details: Adaptive Hypermedia and the Semantic Web","authors":"J. Masthoff","doi":"10.1145/3258611","DOIUrl":"https://doi.org/10.1145/3258611","url":null,"abstract":"","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130464777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Session details: Technology-Enhanced Adaptive Learning II 会议详情:技术增强的适应性学习II
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3258607
O. Santos
{"title":"Session details: Technology-Enhanced Adaptive Learning II","authors":"O. Santos","doi":"10.1145/3258607","DOIUrl":"https://doi.org/10.1145/3258607","url":null,"abstract":"","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125641948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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