[PDF] Predicting Community Preference Of Comments On The Social Web - eBooks Review

Predicting Community Preference Of Comments On The Social Web


Predicting Community Preference Of Comments On The Social Web
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Predicting Community Preference Of Comments On The Social Web


Predicting Community Preference Of Comments On The Social Web
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Author : Chiao-Fang Hsu
language : en
Publisher:
Release Date : 2010

Predicting Community Preference Of Comments On The Social Web written by Chiao-Fang Hsu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.


Large-scale socially-generated metadata is one of the key features driving the growth and success of the emerging Social Web. Recently there have been many research efforts to study the quality of this metadata - like user-contributed tags, comments, and ratings - and its potential impact on new opportunities for intelligent information access. However, much existing research relies on quality assessments made by human experts external to a Social Web community. In the present study, we are interested in understanding how an online community itself perceives the relative quality of its own user-contributed content, which has important implications for the successful selfregulation and growth of the Social Web in the presence of increasing spam and a flood of Social Web metadata. We propose and evaluate a machine learning-based approach for ranking comments on the Social Web based on the community's expressed preferences, which can be used to promote high-quality comments and filter out low-quality comments. We study several factors impacting community preference, including the contributor's reputation and community activity level, as well as the complexity and richness of the comment. Through experiments, we find that the proposed approach results in significant improvement in ranking quality versus alternative approaches.



Affective Computing And Intelligent Interaction


Affective Computing And Intelligent Interaction
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Author : Sidney D ́Mello
language : en
Publisher: Springer
Release Date : 2011-10-18

Affective Computing And Intelligent Interaction written by Sidney D ́Mello and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-18 with Computers categories.


The two-volume set LNCS 6974 and LNCS 6975 constitutes the refereed proceedings of the Fourth International Conference on Affective Computing and Intelligent Interaction, ACII 2011, held in Memphis,TN, USA, in October 2011. The 135 papers in this two volume set presented together with 3 invited talks were carefully reviewed and selected from 196 submissions. The papers are organized in topical sections on recognition and synthesis of human affect, affect-sensitive applications, methodological issues in affective computing, affective and social robotics, affective and behavioral interfaces, relevant insights from psychology, affective databases, Evaluation and annotation tools.



Computational Linguistics And Intelligent Text Processing


Computational Linguistics And Intelligent Text Processing
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Author : Alexander Gelbukh
language : en
Publisher: Springer
Release Date : 2014-04-18

Computational Linguistics And Intelligent Text Processing written by Alexander Gelbukh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-18 with Computers categories.


This two-volume set, consisting of LNCS 8403 and LNCS 8404, constitutes the thoroughly refereed proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2014, held in Kathmandu, Nepal, in April 2014. The 85 revised papers presented together with 4 invited papers were carefully reviewed and selected from 300 submissions. The papers are organized in the following topical sections: lexical resources; document representation; morphology, POS-tagging, and named entity recognition; syntax and parsing; anaphora resolution; recognizing textual entailment; semantics and discourse; natural language generation; sentiment analysis and emotion recognition; opinion mining and social networks; machine translation and multilingualism; information retrieval; text classification and clustering; text summarization; plagiarism detection; style and spelling checking; speech processing; and applications.



Social Media Processing


Social Media Processing
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Author : He-Yan Huang
language : en
Publisher: Springer
Release Date : 2014-10-21

Social Media Processing written by He-Yan Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-21 with Computers categories.


This book constitutes the thoroughly refereed papers of the Third National Conference of Social Media Processing, SMP 2014, held in Beijing, China, in November 2014. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 101 submissions. The papers focus on the following topics: mining social media and applications; natural language processing; data mining; information retrieval; emergent social media processing problems.



From Social Data Mining And Analysis To Prediction And Community Detection


From Social Data Mining And Analysis To Prediction And Community Detection
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Author : Mehmet Kaya
language : en
Publisher: Springer
Release Date : 2017-03-21

From Social Data Mining And Analysis To Prediction And Community Detection written by Mehmet Kaya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-21 with Computers categories.


This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining such as the latest in sentiment trends research and a variety of techniques for community detection and analysis. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning.



Recommender Systems And The Social Web


Recommender Systems And The Social Web
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Author : Fatih Gedikli
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-29

Recommender Systems And The Social Web written by Fatih Gedikli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-29 with Computers categories.


​There is an increasing demand for recommender systems due to the information overload users are facing on the Web. The goal of a recommender system is to provide personalized recommendations of products or services to users. With the advent of the Social Web, user-generated content has enriched the social dimension of the Web. As user-provided content data also tells us something about the user, one can learn the user’s individual preferences from the Social Web. This opens up completely new opportunities and challenges for recommender systems research. Fatih Gedikli deals with the question of how user-provided tagging data can be used to build better recommender systems. A tag recommender algorithm is proposed which recommends tags for users to annotate their favorite online resources. The author also proposes algorithms which exploit the user-provided tagging data and produce more accurate recommendations. On the basis of this idea, he shows how tags can be used to explain to the user the automatically generated recommendations in a clear and intuitively understandable form. With his book, Fatih Gedikli gives us an outlook on the next generation of recommendation systems in the Social Web sphere.



Human Centered Social Media Analytics


Human Centered Social Media Analytics
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Author : Yun Fu
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-03-24

Human Centered Social Media Analytics written by Yun Fu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-24 with Computers categories.


This book provides a timely and unique survey of next-generation social computational methodologies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions, personalities, needs, and lifestyles from human information in unconstrained visual data. Topics and features: includes perspectives from an international and interdisciplinary selection of pre-eminent authorities; presents balanced coverage of both detailed theoretical analysis and real-world applications; examines social relationships in human-centered media for the development of socially-aware video, location-based, and multimedia applications; reviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities; discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation.



Social Entrepreneurship Concepts Methodologies Tools And Applications


Social Entrepreneurship Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2019-04-01

Social Entrepreneurship Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-01 with Business & Economics categories.


Businesses are looking for methods to incorporate social entrepreneurship in order to generate a positive return to society. Social enterprises have the ability to improve societies through altruistic work to create sustainable work environments for future entrepreneurs and their communities. Social Entrepreneurship: Concepts, Methodologies, Tools, and Applications is a useful scholarly resource that examines the broad topic of social entrepreneurship by looking at relevant theoretical frameworks and fundamental terms. It also addresses the challenges and solutions social entrepreneurs face as they address their corporate social responsibility in an effort to redefine the goals of today’s enterprises and enhance the potential for growth and change in every community. Highlighting a range of topics such as the social economy, corporate social responsibility, and competitive advantage, this multi-volume book is ideally designed for business professionals, entrepreneurs, start-up companies, academics, and graduate-level students in the fields of economics, business administration, sociology, education, politics, and international relations.



Complex Networks Their Applications V


Complex Networks Their Applications V
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Author : Hocine Cherifi
language : en
Publisher: Springer
Release Date : 2016-11-25

Complex Networks Their Applications V written by Hocine Cherifi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-25 with Technology & Engineering categories.


This book highlights cutting-edge research in the field of network science, offering scientists, researchers and graduate students a unique opportunity to catch up on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the fifth International Workshop on Complex Networks & their Applications (COMPLEX NETWORKS 2016), which took place in Milan during the last week of November 2016. The carefully selected papers are divided into 11 sections reflecting the diversity and richness of research areas in the field. More specifically, the following topics are covered: Network models; Network measures; Community structure; Network dynamics; Diffusion, epidemics and spreading processes; Resilience and control; Network visualization; Social and political networks; Networks in finance and economics; Biological and ecological networks; and Network analysis.



Trust Based Collective View Prediction


Trust Based Collective View Prediction
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Author : Tiejian Luo
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-28

Trust Based Collective View Prediction written by Tiejian Luo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-28 with Computers categories.


Collective view prediction is to judge the opinions of an active web user based on unknown elements by referring to the collective mind of the whole community. Content-based recommendation and collaborative filtering are two mainstream collective view prediction techniques. They generate predictions by analyzing the text features of the target object or the similarity of users’ past behaviors. Still, these techniques are vulnerable to the artificially-injected noise data, because they are not able to judge the reliability and credibility of the information sources. Trust-based Collective View Prediction describes new approaches for tackling this problem by utilizing users’ trust relationships from the perspectives of fundamental theory, trust-based collective view prediction algorithms and real case studies. The book consists of two main parts – a theoretical foundation and an algorithmic study. The first part will review several basic concepts and methods related to collective view prediction, such as state-of-the-art recommender systems, sentimental analysis, collective view, trust management, the Relationship of Collective View and Trustworthy, and trust in collective view prediction. In the second part, the authors present their models and algorithms based on a quantitative analysis of more than 300 thousand users’ data from popular product-reviewing websites. They also introduce two new trust-based prediction algorithms, one collaborative algorithm based on the second-order Markov random walk model, and one Bayesian fitting model for combining multiple predictors. The discussed concepts, developed algorithms, empirical results, evaluation methodologies and the robust analysis framework described in Trust-based Collective View Prediction will not only provide valuable insights and findings to related research communities and peers, but also showcase the great potential to encourage industries and business partners to integrate these techniques into new applications.