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Titlebook: Social Network-Based Recommender Systems; Daniel Schall Book 2015 Springer International Publishing Switzerland 2015 Follow recommendation

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發(fā)表于 2025-3-21 18:30:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Social Network-Based Recommender Systems
編輯Daniel Schall
視頻videohttp://file.papertrans.cn/870/869758/869758.mp4
概述Introduces novel concepts and techniques about the formation of social networks and each chapter concludes with an analysis and summary.Provides real world datasets from GitHub, Facebook, Twitter, Goo
圖書封面Titlebook: Social Network-Based Recommender Systems;  Daniel Schall Book 2015 Springer International Publishing Switzerland 2015 Follow recommendation
描述This book introduces novel techniques and algorithms necessary to support the formation of social networks. Concepts such as link prediction, graph patterns, recommendation systems based on user reputation, strategic partner selection, collaborative systems and network formation based on ‘social brokers’ are presented. Chapters cover a wide range of models and algorithms, including graph models and a personalized PageRank model. Extensive experiments and scenarios using real world datasets from GitHub, Facebook, Twitter, Google Plus and the European Union ICT research collaborations serve to enhance reader understanding of the material with clear applications. Each chapter concludes with an analysis and detailed summary. Social Network-Based Recommender Systems is designed as a reference for professionals and researchers working in social network analysis and companies working on recommender systems. Advanced-level students studying computer science, statistics or mathematics will alsofind this books useful as a secondary text.
出版日期Book 2015
關(guān)鍵詞Follow recommendation; Formation patterns; GitHub; Graph patterns; Link prediction; Multi-criteria rankin
版次1
doihttps://doi.org/10.1007/978-3-319-22735-1
isbn_softcover978-3-319-37229-7
isbn_ebook978-3-319-22735-1
copyrightSpringer International Publishing Switzerland 2015
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Daniel Schalliopsy is used to confirm the diagnosis and provide information on tumor type, tumor grade, and tumor phenotype, including the expression of estrogen receptors (ER), progesterone receptors (PR), and Her-2/neu (HER2). These tumor characteristics aid in prediction of response to neoadjuvant systemic th
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Daniel Schallrts in their fieldsOver the last several decades breast cancer management has made great strides in the improvement of oncologic treatment outcomes, particularly so in patients with early stage disease. While wide-spread access to screening resulting in early detection is undoubtedly to be credited
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Daniel Schallatients with early stage disease. While wide-spread access to screening resulting in early detection is undoubtedly to be credited for this trend, at the same time, the management of breast cancer has evolved to be an intricate multidisciplinary collaboration between breast imagers, surgeons, medica
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發(fā)表于 2025-3-23 05:25:42 | 只看該作者
Link Prediction for Directed Graphs,in networks such as GitHub, GooglePlus, and Twitter. Our results show that the proposed metrics and techniques yield more accurate predictions when compared with metrics not accounting for the directed nature of the underlying networks.
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發(fā)表于 2025-3-23 08:16:08 | 只看該作者
Partner Recommendation,s to structural holes into account. The applicability of the proposed approach and the effects of parameter selection are extensively studied using real data from the European Union’s research program.
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