Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond最新文献

Towards Requirements for Intelligent Mentoring Systems 智能导师制的需求

Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond Pub Date : 2019-09-12 DOI: 10.1145/3345002.3349290

M. Kravcík, Katharina Schmid, C. Igel

引用次数: 3

Explanations and User Control in Recommender Systems 推荐系统中的解释和用户控制

Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond Pub Date : 2019-09-12 DOI: 10.1145/3345002.3349293

D. Jannach, Michael Jugovac, Ingrid Nunes

{"title":"Explanations and User Control in Recommender Systems","authors":"D. Jannach, Michael Jugovac, Ingrid Nunes","doi":"10.1145/3345002.3349293","DOIUrl":"https://doi.org/10.1145/3345002.3349293","url":null,"abstract":"1 BACKGROUND The personalized selection and presentation of content have become common in today’s online world, for example on media streaming sites, e-commerce shops, and social networks. This automated personalization is often accomplished by recommender systems, which continuously collect and interpret information about the individual user. To determine which information items should be presented, these systems typically rely on machine learning. Over the last decades, a large variety of machine learning techniques of increasing complexity have been applied for building recommender systems. The recommendation models that are learned by such modern algorithms are, however, usually seen as black boxes. Technically, they often consist of values for hundreds or thousands of variables, making it impossible to provide a humanunderstandable rationale why a certain item is recommended to a particular user. Providing users with an explanation or at least with an intuition why an item is recommended can, however, be crucial, both for the acceptance of an individual recommendation and for the establishment of user trust towards the system as a whole [3]. Furthermore, such system-provided explanations can not only contribute to the acceptance of the system, but also serve as entry points for interactive approaches that allow users to give feedback as a means to correct system assumptions and, thus, take control of the recommendation process.","PeriodicalId":153835,"journal":{"name":"Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122538706","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: 22

Adaptive Workplace Learning Assistance 适应性工作场所学习协助

Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond Pub Date : 2019-09-12 DOI: 10.1145/3345002.3349294

M. Kravcík

引用次数: 1

Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context 在学习管理系统环境下调查用户接受度的描述性网络建模和分析

Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond Pub Date : 2019-09-12 DOI: 10.1145/3345002.3349288

Parisa Shayan, R. Rondinelli, Menno van Zaanen, M. Atzmüller

引用次数: 1

Data-Driven Recommendations in a Public Service Organisation 公共服务机构中数据驱动的建议

Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond Pub Date : 2019-09-12 DOI: 10.1145/3345002.3349286

A. Piscopo, Maria Panteli, D. Penna

引用次数: 1

Personalizing the User Interface for People with Disabilities 为残障人士个性化用户界面

Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond Pub Date : 2019-09-12 DOI: 10.1145/3345002.3349292

J. Abascal, Xabier Gardeazabal, J. Pérez, Xabier Valencia, O. Arbelaitz, J. Muguerza, Ainhoa Yera

{"title":"Personalizing the User Interface for People with Disabilities","authors":"J. Abascal, Xabier Gardeazabal, J. Pérez, Xabier Valencia, O. Arbelaitz, J. Muguerza, Ainhoa Yera","doi":"10.1145/3345002.3349292","DOIUrl":"https://doi.org/10.1145/3345002.3349292","url":null,"abstract":"Computer applications provide people with disabilities with unique opportunities for interpersonal communication, social interaction and active participation. However, rigid user interfaces often present accessibility barriers to people with physical, sensory or cognitive impairments. User interface personalization is crucial to overcome these barriers, enabling computer access to a considerable section of the population with disabilities. Adapting the user interface to people with disabilities requires taking into consideration their physical, sensory or cognitive abilities and restrictions and hence providing alternative access procedures according to their capacities. In the chapter 15, \"Personalizing the User Interface for People with Disabilities\" [1], we present methods and techniques that are being applied to research and practice on user interface personalization for people with disabilities. In addition, we discuss possible approaches for diverse application fields where personalization is required: accessibility to the web using transcoding, web mining for eGovernment, and human-robot interaction for people with severe motor restrictions.","PeriodicalId":153835,"journal":{"name":"Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116504185","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

Unexpected and Unpredictable: Factors That Make Personalized Advertisements Creepy 意想不到和不可预测:使个性化广告令人毛骨悚然的因素

Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond Pub Date : 2019-09-12 DOI: 10.1145/3345002.3349285

E. Herder, Boping Zhang

引用次数: 6

Behavioral Analysis on Socio-Spatial Interaction Networks concerning User Preferences, Interactions and their Perception 关于用户偏好、交互及其感知的社会空间交互网络行为分析

Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond Pub Date : 2019-09-12 DOI: 10.1145/3345002.3349291

M. Atzmüller, Çiçek Güven, Spyroula Masiala, Rick Mackenbach, Parisa Shayan, Werner Liebregts

引用次数: 2

Modeling Physiological Conditions for Proactive Tourist Recommendations 主动旅游推荐的生理条件建模

Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond Pub Date : 2019-04-10 DOI: 10.1145/3345002.3349289

Rinita Roy, Linus W. Dietz

引用次数: 3

Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond 第23届网络及其他个性化与推荐国际研讨会论文集

Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond Pub Date : 1900-01-01 DOI: 10.1145/3345002

引用次数: 0