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检索条件"任意字段=International Workshop on Adaptation and Personalization for Web 2.0, AP WEB 2.0"

共 40 条记录，以下是1-10 订阅

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IFUP: workshop on Multi-dimensional Information Fusion for User Modeling and personalization 18

IFUP: Workshop on Multi-dimensional Information Fusion for U...

引用

11th ACM international Conference on web Search and Data Mining

作者： Zhu, Feida Zhang, Yongfeng Yorke-Smith, Neil Guo, Guibing Chen, Xu Singapore Management Univ Sch Informat Syst Singapore Singapore Rutgers State Univ Dept Comp Sci New Brunswick NJ USA Amer Univ Beirut Delft Univ Technol Beirut Lebanon Northeatern Univ Software Coll Boston MA USA Tsinghua Univ Sch Software Beijing Peoples R China

ISBN: (纸本)9781450355810

Recommendation system has became an important component in many real applications, ranging from e-commerce, music app to video-sharing site and on-line book store. The key of a successful recommendation system lies in the accurate user/item profiling. With the advent of web 2.0, quite a lot of multimodal information has been accumulated, which provides us with the opportunity to profile users in a more comprehensive manner. However, directly integrating multimodal information into recommendation system is not a trivial task, because they may be either homogenous or heterogeneous, which requires more advanced method for both fusion and alignment. This workshop aims to provide a platform for discussing the challenges and corresponding innovative approaches in fusing multi-dimensional information for user modeling and recommender systems. We hope more advanced technologies can be proposed or inspired, and also we hope that the direction of integrating different types of information can catch much more attention in both academic and industry.

关键词： Information Fusion User Modeling Multi-dimensional

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Bitcoin spread prediction using social and web search media 23

Bitcoin spread prediction using social and web search media

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23rd Conference on User Modeling, adaptation, and personalization, UMap 2015

作者： Matta, Martina Lunesu, Ilaria Marchesi, Michele Università degli Studi di Cagliari Piazza d’Armi Cagliari09123 Italy

In the last decade, web 2.0 services such as blogs, tweets, forums, chats, email etc. have been widely used as communication media, with very good results. Sharing knowledge is an important part of learning and enhancing skills. Furthermore, emotions may affect decision-making and individual behavior. Bitcoin, a decentralized electronic currency system, represents a radical change in financial systems, attracting a large number of users and a lot of media attention. In this work, we investigated if the spread of the Bitcoin’s price is related to the volumes of tweets or web Search media results. We compared trends of price with Google Trends data, volume of tweets and particularly with those that express a positive sentiment. We found significant cross correlation values, especially between Bitcoin price and Google Trends data, arguing our initial idea based on studies about trends in stock and goods market. © 2015 CEUR-WS. All rights reserved.

关键词： Sentiment analysis

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Reviewing Personalizing Filtering approaches in web

Reviewing Personalizing Filtering Approaches in Web

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Artificial Intelligence with applications in Engineering and Technology (ICAIET)

作者： Nor Nadiah Yusof Azlinah Mohamed Shuzlina Abdul-Rahman Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Shah Alam Selangor Malaysia

Huge volume of online content in the era of web 2.0 increases difficulties in seeking information. Users are unable to get the right information based on their needs and preferences. Information filtering is capable to overcome the problems of information overload by filtering irrelevant information. There has been much work done in this area to increase the quality of recommendation to users based on their needs. This paper presents an overview of information filtering approaches that classified into rule-based, content-based, collaborative filtering and hybrid method. A categorization personalization overview is proposed comprises of user profiling and filtering approaches. This paper also discusses various advantages, limitations and future trends in information filtering approaches.

关键词： Collaboration Recommender systems Computational modeling adaptation models Motion pictures

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Towards a new approach for generating user profile from folksonomies

Towards a new approach for generating user profile from folk...

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international Symposium on ISKO-Maghreb Concepts and Tools for knowledge Management (ISKO-Maghreb)

作者： Boudiba Tahar-Rafik Ahmed-Ouamer Rachid Department of computer science Mouloud Mammeri university Tizi-Ouzou Algeria

The exploitation of social networks and collaborative systems is a phenomenon that is gradually integrated with the practice of information retrieval on the Internet. These systems of web 2.0, allowing users to collaborate via the free content indexing using keywords or tags; creating structures represented as tripartite hypergraphs of users, tags and resources, called folksonomies. By examining different personalization techniques based on folksonomies, we focused on the community aspect of collaborative systems. We propose to build, through different techniques of social network analysis, user profiles more representative of their various interets. A new approach for generating user profile from foklsonomies is presented.

关键词： Bipartite graph Communities Vectors Collaboration Frequency measurement Social network services adaptation models

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Proceedings of the 1st international workshop on Engineering Semantic Enterprise (ESE) 2012

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Combined workshops on web Information Systems Engineering, WISE 2011 and WISE 2012

作者： Dabrowski, Maciej Breslin, John Passant, Alexandre Prud'hommeaux, Eric Gordon DERI National University of Ireland Galway Ireland *** Ireland W3C United States

ISBN: (纸本)9783642383328

Two main trends emerged in the enterprise in the past years. On one hand, web 2.0 tools such as blogs, microblogs and wikis for enterprise-scale collaboration and information management became widely used for information management, leading to a move to "Enterprise 2.0". At the same time, Semantic web technologies have emerged allowing enterprise users to transparently provide structured and meaningful data in the enterprise thanks to vocabularies representing social data. These technologies enhance information management and sharing with an enterprise, leading to the "Social Semantic Enterprise", where both Semantic web technologies and Social web principles converge. Although the adoption of the Semantic web technologies in enterprises is growing very fast, some major challenges related to their exploitation in enterprises remain, including personalization, near real-time integration or scalability. For this workshop, we have selected four papers that addressed the above topics. © 2013 Springer-Verlag.

关键词： Information management

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Adaptive Course for Mobile Learning

Adaptive Course for Mobile Learning

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5th international Conference on Computational Intelligence, Communication Systems and Networks (CICSyN)

作者： Razek, Mohammed A. Bardesi, Hisham Jameel A. King Abdulaziz Univ Res & Dev Dept POB 80254 Jeddah Saudi Arabia King Abdulaziz Univ Distance Learning Jeddah Saudi Arabia

ISBN: (纸本)9780769550428;9781479905874

With fast development of mobile communication technologies and With the advent of the web 2.0 application, the huge numbers of students access social software via mobile are opening the way for building a social mobile learning environment. This paper proposes a multi-agent technique to an Adaptive Social Mobile Learning System. The construction of this multi-agent contains Information, pedagogical, social, and adaptive agents. This paper presents each agent with its algorithm and the development of the whole system.

关键词： Mobile Learning application Adaptive learning adaptation and personalization Multi-agent social network learning

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Vee@Cloud: The virtual test lab on the cloud

Vee@Cloud: The virtual test lab on the cloud

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international workshop on Automation of Software Test (AST)

作者： Xiaoying Bai Muyang Li Xiaofei Huang Wei-Tek Tsai Jerry Gao Department of Computer Science and Technology TNList Tsinghua University Beijing China Tsinghua University Beijing Beijing CN

ISBN: (纸本)9781467361620

Large-scale system testing is challenging. It usually requires large number of test cases, substantial resources, and geographical distributed usage scenarios. It is expensive to build the test environment and to achieve certain level of test confidence. To address the challenges, test systems need to be scalable in a cost-effective manner. TaaS (Testing-as-a-Service) promotes a Cloud-based testing architecture to provide online testing services following a pay-per-use business model. The paper introduces the research and implementation of a TaaS system called Vee@Cloud. It serves as a scalable virtual test lab built upon Cloud infrastructure services. The resource manager allocates Virtual Machine instances and deploy test tasks, from a pool of available resources across different Clouds. The workload generator simulates various workload patterns, especially for system with new architecture styles like web 2.0 and big data processing. Vee@Cloud promotes continuous monitoring and evaluating of online services. The monitor collects real-time performance data and analyzes the data against SLA (Service Level Agreement). A proof-of-concept prototype system is built and some early experiments are exercised using public Cloud services.

关键词： Testing Cloud computing Monitoring Computer architecture Resource management Prototypes adaptation models

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Adaptive Course for Mobile Learning

Adaptive Course for Mobile Learning

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international Conference on Computational Intelligence, Communication Systems and Networks

作者： Mohammed A. Razek Hisham Jameel A. Bardesi Research and Development Department Deanship of Distance Learning King Abdulaziz University Deanship of Distance Learning King Abdulaziz University

ISBN: (纸本)9781479905874

关键词： Mobile Learning application Adaptive learning adaptation and personalization Multi-agent Social network learning

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ap web 2.0 - Proceedings of the international workshop on adaptation and personalization for web 2.0

AP WEB 2.0 - Proceedings of the International Workshop on Ad...

引用

international workshop on adaptation and personalization for web 2.0, ap web 2.0

The proceedings contain 19 papers. The topics discussed include: a framework for flexible user profile mashups;handling users local contexts in web 2.0;context-aware notification management in an integrated collaborative environment;a general framework for personalized text classification and annotation;a personalized tag-based recommendation in social web systems;using asynchronous client-side user monitoring to enhance user modeling in adaptive e-learning systems;customized edit interfaces for wikis via semantic annotations;visualizing web server logs for a web 1.0 audience using web 2.0 technologies;new generation of social networks based on semantic web technologies;balanced recommenders: a hybrid approach to improve and extend the functionality of traditional recommenders;visualizing reciprocal and non-reciprocal relationships in an online community;and a user-centric authentication and privacy control mechanism for user model interoperability in social networking sites.

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personalization, socialization, and recommendations in location-based services 2.0

Personalization, socialization, and recommendations in locat...

引用

5th international workshop on Personalized Access, Profile Management, and Context Awareness in Databases, PersDB 2011 - In Conjunction with Very Large Data Bases, VLDB 2011

作者： Mokbel, Mohamed F. Bao, Jie Eldawy, Ahmed Levandoski, Justin J. Sarwat, Mohamed Department of Computer Science and Engineering University of Minnesota Minneapolis MN United States

The wide increase of web-based user-generated content and social networking technologies have led to the wide popularity of the term web 2.0, in which the World Wide web has moved from being an interface for information retrieval to an interactive medium. Following web 2.0, a flurry of 2.0s have appeared including Library 2.0, Travel 2.0, Government 2.0, and even Revolution 2.0. In this paper, we present our vision of Location-based Services (LBS) 2.0, where users generate significant location-based content, and have meaningful location-aware interactions with both the system and other users. We address three main aspects of LBS 2.0, namely, personalization, socialization, and recommendations. In terms of personalization, LBS 2.0 looks beyond the use of rigid nearest-neighbor queries to more personalized best-neighbor queries where user preferences and context are taken into account when answering queries. In terms of socialization, LBS 2.0 goes beyond using location information as extra attributes in existing social networks to injecting location-awareness into the core functionality of social networks. For recommendations, LBS 2.0 aims to adapt existing commercially successful recommendation techniques to consider the spatial aspects of users and/or items when making its decisions. Overall, we discuss how the confluence of these topics form our vision of LBS 2.0. © 2011 VLDB Endowment.

关键词： Location based services

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