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Titlebook: Recommender Systems: Algorithms and their Applications; Pushpendu Kar,Monideepa Roy,Sujoy Datta Book 2024 The Editor(s) (if applicable) an

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發(fā)表于 2025-3-21 18:43:16 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Recommender Systems: Algorithms and their Applications
編輯Pushpendu Kar,Monideepa Roy,Sujoy Datta
視頻videohttp://file.papertrans.cn/825/824136/824136.mp4
概述Studies different types of algorithms for recommender systems along with their comparative analysis.Presents case studies of the application of recommender system in healthcare monitoring and military
叢書(shū)名稱Transactions on Computer Systems and Networks
圖書(shū)封面Titlebook: Recommender Systems: Algorithms and their Applications;  Pushpendu Kar,Monideepa Roy,Sujoy Datta Book 2024 The Editor(s) (if applicable) an
描述.The book includes a thorough examination of the many types of algorithms for recommender systems, as well as a comparative analysis of them. It addresses the problem of dealing with the large amounts of data generated by the recommender system. The book also includes two case studies on recommender system applications in healthcare monitoring and military surveillance. It demonstrates how to create attack-resistant and trust-centric recommender systems for sensitive data applications. This book provides a solid foundation for designing recommender systems for use in healthcare and defense..
出版日期Book 2024
關(guān)鍵詞Recomender Systems; Types of Recommender Systems; Recommender System Algorithms; Attack-resistant Recom
版次1
doihttps://doi.org/10.1007/978-981-97-0538-2
isbn_softcover978-981-97-0540-5
isbn_ebook978-981-97-0538-2Series ISSN 2730-7484 Series E-ISSN 2730-7492
issn_series 2730-7484
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Matrix Decomposition for Clustering and Collaborative Filtering,ing two different kinds of entities. Since not every user gives ratings to all the items they use, there are many missing values in the matrix and it results in a . Hence, the null values not given by the users would be filled with 0 such that the filled values are provided for the multiplication. I
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A Surveillance Framework of Suspicious Browsing Activities on the Internet Using Recommender Systemfor a period of time, then it will raise an alert to the governing authorities. The framework also uses recommender systems and browsing history tracking algorithms. We expect that this can be of assistance and can be utilized by authorized monitoring agencies of countries as a threat analysis tool.
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aulically linked initially through their pore water because of discontinuous impermeable shale beds and lenses. It should be noted that NGH in place may not be technically recoverable gas in place. Where production wellbores cannot link some NGH volumes, the gas has to be discounted from the valuati
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Pushpendu Kar,Monideepa Roy,Sujoy Dattarted NGH product (which consists almost entirely of relatively pure natural gas and very low salinity water) will be at substantially lower pressures within the reservoir. Not only can pressure in the reservoir be controlled, but it is possible to maintain different pressures in different parts of t
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