Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization最新文献_第3页

Experimental Analysis of Mastery Learning Criteria 掌握学习标准的实验分析

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079667

Radek Pelánek, Jirí Rihák

引用次数: 24

Imputing KCs with Representations of Problem Content and Context 用问题内容和上下文表示的KCs输入

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079689

Z. Pardos, Anant Dadu

引用次数: 22

A Personalized Global Filter To Predict Retweets 预测转发的个性化全局过滤器

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079655

M. Vougioukas, Ion Androutsopoulos, G. Paliouras

{"title":"A Personalized Global Filter To Predict Retweets","authors":"M. Vougioukas, Ion Androutsopoulos, G. Paliouras","doi":"10.1145/3079628.3079655","DOIUrl":"https://doi.org/10.1145/3079628.3079655","url":null,"abstract":"Information shared on Twitter is ever increasing and users-recipients are overwhelmed by the number of tweets they receive, many of which of no interest. Filters that estimate the interest of each incoming post can alleviate this problem, for example by allowing users to sort incoming posts by predicted interest (e.g., \"top stories\" vs. \"most recent\" in Facebook). Global and personal filters have been used to detect interesting posts in social networks. Global filters are trained on large collections of posts and reactions to posts (e.g., retweets), aiming to predict how interesting a post is for a broad audience. In contrast, personal filters are trained on posts received by a particular user and the reactions of the particular user. Personal filters can provide recommendations tailored to a particular user's interests, which may not coincide with the interests of the majority of users that global filters are trained to predict. On the other hand, global filters are typically trained on much larger datasets compared to personal filters. Hence, global filters may work better in practice, especially with new users, for which personal filters may have very few training instances (\"cold start\" problem). Following Uysal and Croft, we devised a hybrid approach that combines the strengths of both global and personal filters. As in global filters, we train a single system on a large, multi-user collection of tweets. Each tweet, however, is represented as a feature vector with a number of user-specific features.","PeriodicalId":216017,"journal":{"name":"Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130308270","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

Multilingual Search User Behaviors -- Exploring Multilingual Querying and Result Selection Through Crowdsourcing 多语言搜索用户行为——通过众包探索多语言查询和结果选择

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079702

Ryan Lowe, B. Steichen

引用次数: 11

Measuring Bias in News Websites, Towards a Model for Personalization 衡量新闻网站的偏见，走向个性化模型

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079647

Brendan Spillane, S. Lawless, V. Wade

引用次数: 2

Towards Improving E-commerce Users Experience Using Personalization & Persuasive Technology 利用个性化和说服技术改善电子商务用户体验

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079707

I. Adaji

{"title":"Towards Improving E-commerce Users Experience Using Personalization & Persuasive Technology","authors":"I. Adaji","doi":"10.1145/3079628.3079707","DOIUrl":"https://doi.org/10.1145/3079628.3079707","url":null,"abstract":"With the increase in the number of e-commerce companies over the last decade, there is stiffer competition for e-businesses to win and retain customers. Companies have to give clients reasons to shop with them and become return customers. The use of personalization strategies and persuasive technology have been identified as means through which e-businesses can engage their clients and give them a unique shopping experience. To con-tribute to ongoing research in personalization and persuasive technology in e-commerce, my thesis proposes a framework that can create a personalized shopping experience for clients using the consumers' personality and shopping type. This paper presents the results of the first stage of my research which is a user study carried out on 324 e-commerce shoppers to identify the persuasive strategies and its implementation in an e-commerce site, Amazon, and to evaluate the persuasiveness of these strategies to consumers. The result of this thesis can contribute to ongoing research in development of personalization and persuasive strategies that work in e-commerce especially for new companies.","PeriodicalId":216017,"journal":{"name":"Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116241300","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

Towards Understanding Users' Motivation in a Q&A Social Network Using Social Influence and the Moderation by Culture 利用社会影响和文化调节来理解问答社交网络中的用户动机

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079652

I. Adaji, Julita Vassileva

{"title":"Towards Understanding Users' Motivation in a Q&A Social Network Using Social Influence and the Moderation by Culture","authors":"I. Adaji, Julita Vassileva","doi":"10.1145/3079628.3079652","DOIUrl":"https://doi.org/10.1145/3079628.3079652","url":null,"abstract":"Active participation of users in Q&A social networks like Stack Overflow is key to the sustenance of the network. One way to encourage participation is to allow collaboration or cooperation between users in order to improve question and answer posts, and allow users to learn from one another. In order to implement strategies that encourage cooperation, it is important to understand what influences the users in the network to cooperate. In this extended abstract, we investigate the social support principles that influence cooperation in Stack Overflow. Using a sample size of 282 Stack Overflow users, we develop and test a global research model using partial least squares structural equation modelling (PLS-SEM). We further investigate any possible differences in the effect of these strategies between cultures, by testing two cultural subgroups; collectivist and individualist cultures. Our results show that social learning significantly influences cooperation in Stack Overflow at the global level. However, at the cultural subgroup level, recognition influences cooperation among collectivists, while social facilitation influences individualists to cooperate. These findings suggest possible design guidelines in the development of successful personalized Q&A social networking sites that encourage participation through cooperation.","PeriodicalId":216017,"journal":{"name":"Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133057086","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

Using Learning Analytics to Devise Interactive Personalised Nudges for Active Video Watching 使用学习分析设计主动视频观看的交互式个性化推动

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079683

V. Dimitrova, A. Mitrovic, A. Piotrkowicz, L. Lau, A. Weerasinghe

{"title":"Using Learning Analytics to Devise Interactive Personalised Nudges for Active Video Watching","authors":"V. Dimitrova, A. Mitrovic, A. Piotrkowicz, L. Lau, A. Weerasinghe","doi":"10.1145/3079628.3079683","DOIUrl":"https://doi.org/10.1145/3079628.3079683","url":null,"abstract":"Videos can be a powerful medium for acquiring soft skills, where learning requires contextualisation in personal experience and ability to see different perspectives. However, to learn effectively while watching videos, students need to actively engage with video content. We implemented interactive notetaking during video watching in an active video watching system (AVW) as a means to encourage engagement. This paper proposes a systematic approach to utilise learning analytics for the introduction of adaptive intervention - a choice architecture for personalised nudges in the AVW to extend learning. A user study was conducted and used as an illustration. By characterising clusters derived from user profiles, we identify different styles of engagement, such as parochial learning, habitual video watching, and self-regulated learning (which is the target ideal behaviour). To find opportunities for interventions, interaction traces in the AVW were used to identify video intervals with high user interest and relevant behaviour patterns that indicate when nudges may be triggered. A prediction model was developed to identify comments that are likely to have high social value, and can be used as examples in nudges. A framework for interactive personalised nudges was then conceptualised for the case study.","PeriodicalId":216017,"journal":{"name":"Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133408350","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: 30

Impact of Individual Differences on User Experience with a Real-World Visualization Interface for Public Engagement 个人差异对用户体验的影响与现实世界中公众参与的可视化界面

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079634

Sébastien Lallé, C. Conati, G. Carenini

{"title":"Impact of Individual Differences on User Experience with a Real-World Visualization Interface for Public Engagement","authors":"Sébastien Lallé, C. Conati, G. Carenini","doi":"10.1145/3079628.3079634","DOIUrl":"https://doi.org/10.1145/3079628.3079634","url":null,"abstract":"There is increasing evidence that the effectiveness of Information Visualization (Infovis) is affected by the user needs and abilities. For instance, cognitive abilities (e.g., perceptual speed, working memory) [e.g., 1-4] have been shown to impact users' performance and satisfaction with a given visualization. These findings suggest that it can be valuable to develop visualization systems that can provide personalized support targeting specific user characteristics. Furthermore, recent research [e.g., 3,5] has shown that eye tracking data can be leveraged to identify the elements of a visualization for which specific user differences hinder user experience or performance, thus providing concrete information on which specific personalized support could be helpful for different users (e.g., users with low perceptual speed may benefit from help in processing legends [1]). Though these findings are encouraging toward the design of user-adaptive or customized visualizations, they are generally related to either fictional tasks or research prototypes. So, it is unclear if existing results on the value of user-adaptive visualizations can transfer to real-world settings.","PeriodicalId":216017,"journal":{"name":"Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization","volume":"279 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116164875","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: 23

Combining Long-term and Discussion-generated Preferences in Group Recommendations 在小组推荐中结合长期和讨论产生的偏好

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079645

T. Nguyen, F. Ricci

引用次数: 8