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Titlebook: Context-Aware Collaborative Prediction; Shu Wu,Qiang Liu,Tieniu Tan Book 2017 The Author(s) 2017 Collaborative prediction.Hierarchical rep

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发表于 2025-3-21 18:03:12 | 显示全部楼层 |阅读模式
书目名称Context-Aware Collaborative Prediction
编辑Shu Wu,Qiang Liu,Tieniu Tan
视频videohttp://file.papertrans.cn/237/236884/236884.mp4
概述Discusses both theoretical and practical aspects of context-aware collaborative prediction.Shares tips and insights into leveraging advanced techniques from natural language processing and representat
丛书名称SpringerBriefs in Computer Science
图书封面Titlebook: Context-Aware Collaborative Prediction;  Shu Wu,Qiang Liu,Tieniu Tan Book 2017 The Author(s) 2017 Collaborative prediction.Hierarchical rep
描述.This book presents two collaborative prediction approaches based on contextual representation and hierarchical representation, and their applications including context-aware recommendation, latent collaborative retrieval and click-through rate prediction. The proposed techniques offer significant improvements over current methods, the key determinants being the incorporated contextual representation and hierarchical representation. To provide a background to the core ideas presented, it offers an overview of contextual modeling and the theory of contextual representation and hierarchical representation, which are constructed for the joint interaction of entities and contextual information...The book offers a rich blend of theory and practice, making it a valuable resource for students, researchers and practitioners who need to construct systems of information retrieval, data mining and recommendation systems with contextual information..
出版日期Book 2017
关键词Collaborative prediction; Hierarchical representation; Contextual representation; Contextual informatio
版次1
doihttps://doi.org/10.1007/978-981-10-5373-3
isbn_softcover978-981-10-5372-6
isbn_ebook978-981-10-5373-3Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s) 2017
The information of publication is updating

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Book 2017ce, making it a valuable resource for students, researchers and practitioners who need to construct systems of information retrieval, data mining and recommendation systems with contextual information..
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Hierarchical Representation,d using a variety of machine learning methods according to different application tasks (e.g., linear regression for regression tasks, pair-wise ranking method for ranking tasks, and logistic regression for classification tasks).
发表于 2025-3-22 18:28:38 | 显示全部楼层
Contextual Operation,des, the contextual operating tensor is used to capture the common semantic effects of contexts. This chapter introduces notations and fundamental concepts of context representation, and then thoroughly presents the contextual operating tensor (COT) model. Finally, the process of parameter inference and the optimization algorithm is discussed.
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发表于 2025-3-23 03:52:17 | 显示全部楼层
2191-5768 techniques from natural language processing and representat.This book presents two collaborative prediction approaches based on contextual representation and hierarchical representation, and their applications including context-aware recommendation, latent collaborative retrieval and click-through
发表于 2025-3-23 07:18:55 | 显示全部楼层
Synthesis Lectures on Visualizationdes, the contextual operating tensor is used to capture the common semantic effects of contexts. This chapter introduces notations and fundamental concepts of context representation, and then thoroughly presents the contextual operating tensor (COT) model. Finally, the process of parameter inference and the optimization algorithm is discussed.
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