標(biāo)題: Titlebook: Recommender Systems: Algorithms and their Applications; Pushpendu Kar,Monideepa Roy,Sujoy Datta Book 2024 The Editor(s) (if applicable) an [打印本頁] 作者: Corrugate 時(shí)間: 2025-3-21 18:43
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作者: Pastry 時(shí)間: 2025-3-21 20:50
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作者: acrimony 時(shí)間: 2025-3-22 02:58
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.作者: companion 時(shí)間: 2025-3-22 08:10
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作者: 哪有黃油 時(shí)間: 2025-3-22 11:51
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作者: oblique 時(shí)間: 2025-3-22 13:14 作者: 誘騙 時(shí)間: 2025-3-22 20:54 作者: 飛來飛去真休 時(shí)間: 2025-3-23 00:20 作者: 澄清 時(shí)間: 2025-3-23 04:15 作者: BROTH 時(shí)間: 2025-3-23 08:45 作者: Pelago 時(shí)間: 2025-3-23 10:51
978-981-97-0540-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 凝視 時(shí)間: 2025-3-23 15:55
Recommender Systems: Algorithms and their Applications978-981-97-0538-2Series ISSN 2730-7484 Series E-ISSN 2730-7492 作者: 機(jī)構(gòu) 時(shí)間: 2025-3-23 18:20
Steps in Building a Recommendation Engine,In this chapter, we discuss the steps one needs to keep in mind while designing an efficient recommender system. We also see what are the design parameters for rating the efficiency of a recommender system. Then the steps to build such a system are discussed along with a generic architecture.作者: flamboyant 時(shí)間: 2025-3-24 01:09 作者: 警告 時(shí)間: 2025-3-24 05:07 作者: 高腳酒杯 時(shí)間: 2025-3-24 08:27 作者: 受辱 時(shí)間: 2025-3-24 13:41 作者: FOIL 時(shí)間: 2025-3-24 15:51
2730-7484 of recommender system in healthcare monitoring and military.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 sy作者: fixed-joint 時(shí)間: 2025-3-24 19:00
Collaborative Filtering and Content-Based Systems, model-based methods. The chapter discusses what are the features of and differences between the two methods. The basic components of the content-based systems are also discussed. Both the systems have their advantages and disadvantages which are also discussed here.作者: crescendo 時(shí)間: 2025-3-24 23:23
Big Data Behind Recommender Systems,mportant. We also see how recommender systems can benefit from using big data, what the types of data stored and what the challenges are. Finally, some examples show how exactly it is used by the recommender systems by taking the example of Twitter.作者: MAUVE 時(shí)間: 2025-3-25 06:02 作者: 大洪水 時(shí)間: 2025-3-25 07:41
Recommender System for Health Care,) can do lots of medical and fitness suggestions work accurately, several defects and optimizable functions exist in the current stages of the recommender system. To handle these drawbacks, there are several methods and techniques to be applied.作者: evasive 時(shí)間: 2025-3-25 13:52
Some Novel Applications of Recommender System and Road Ahead,well as techniques such as collaborative filtering, content-based filtering, and hybrid filtering behind it. Based on the existing problems within each recommender system, some possible solutions are given to improve the current recommender systems, respectively.作者: extemporaneous 時(shí)間: 2025-3-25 17:13 作者: 意外的成功 時(shí)間: 2025-3-25 23:56
Knowledge-Based, Ensemble-Based, and Hybrid Recommender Systems,is causes the cold start problem which is a well-known challenge in recommendation systems. In such cases to avoid the cold start problem, knowledge-based and hybrid, and ensemble-based techniques are highly useful to give accurate suggestions.作者: 折磨 時(shí)間: 2025-3-26 02:57
Book 2024sses 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 作者: Ovulation 時(shí)間: 2025-3-26 07:15
2730-7484 ow 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..978-981-97-0540-5978-981-97-0538-2Series ISSN 2730-7484 Series E-ISSN 2730-7492 作者: Apraxia 時(shí)間: 2025-3-26 11:33 作者: Fallibility 時(shí)間: 2025-3-26 15:21
Introduction to Recommendation Systems,tractive proposition as it saves the time to go outside and shop for what a user needs, as well as the fact that users have access to a huge array of choices to buy from. Since it is a very tough and competitive market, and companies have realized that people usually tend to buy similar types of pro作者: 山間窄路 時(shí)間: 2025-3-26 18:59
Overview of Recommendation Systems,e spectrum of applications they can be applied for. Some very successful business models which run on recommendation systems have also been discussed here. After that a classification of the different types of recommendation systems is given, followed by the specific challenges faced for domains.作者: Chronic 時(shí)間: 2025-3-27 00:01 作者: 寬宏大量 時(shí)間: 2025-3-27 03:27 作者: 極肥胖 時(shí)間: 2025-3-27 07:01 作者: macrophage 時(shí)間: 2025-3-27 10:26 作者: Flustered 時(shí)間: 2025-3-27 15:53
Big Data Behind Recommender Systems,mers. So this naturally involves dealing with and processing huge volumes of data every day. So here we see the concept of big data and why it is so important. We also see how recommender systems can benefit from using big data, what the types of data stored and what the challenges are. Finally, som作者: 檔案 時(shí)間: 2025-3-27 18:16
Trust-Centric and Attack-Resistant Recommender System,he evaluation of recommendation systems has become more rigorous, and a better-quality recommendation system can largely improve the competitiveness of products. This chapter proposes three different ways to improve the performance of recommendation systems based on both attack and trust: usage of t作者: 賄賂 時(shí)間: 2025-3-28 01:34
Recommender System for Health Care,ical area, advice or suggestions are given for different topics like diagnosis, medicine, food, and exercise. While healthcare recommender system (HRS) can do lots of medical and fitness suggestions work accurately, several defects and optimizable functions exist in the current stages of the recomme作者: anaphylaxis 時(shí)間: 2025-3-28 03:49
A Surveillance Framework of Suspicious Browsing Activities on the Internet Using Recommender Systemurveillance and monitoring of online browsing activities of individuals become necessary to prevent terrorist and criminal activities, in the interests of national security. There are at present several such surveillance projects in implementation already in India as well as abroad. The cyber-survei作者: 縫紉 時(shí)間: 2025-3-28 10:01 作者: Blood-Vessels 時(shí)間: 2025-3-28 11:01 作者: Consequence 時(shí)間: 2025-3-28 14:50
Pushpendu Kar,Monideepa Roy,Sujoy Dattadrilling and reservoir planning, and preparation for production. Substantial existing technology and emerging methods being developed for ultra-deepwater, particularly those based on operating processing equipment on the seafloor rather than in vessels overhead, can be used in a re-specified form. N作者: 免費(fèi) 時(shí)間: 2025-3-28 21:59 作者: 收養(yǎng) 時(shí)間: 2025-3-29 02:08 作者: 爵士樂 時(shí)間: 2025-3-29 03:40 作者: Hdl348 時(shí)間: 2025-3-29 07:27
Pushpendu Kar,Monideepa Roy,Sujoy Datta data to be analyzed are a set of . data vectors .(.) = (., ..., .).(.) which are indexed by .. Each data vector can be represented as a point within a .-dimensional vector space, which is called the . or ., and all . data vectors together form a data cloud within the state space. Generally, the dat作者: FER 時(shí)間: 2025-3-29 11:30 作者: Thyroid-Gland 時(shí)間: 2025-3-29 18:46 作者: 機(jī)制 時(shí)間: 2025-3-29 21:18
Andreas Schmittnotechnology. It aims to be a comprehensive and genuinely international reference work and will be aimed at graduate students, researchers, and practitioners..The .Encyclopedia of Nanotechnology. introduces a large number of terms, devices and processes which are related to the multi-disciplinary fi作者: 不能強(qiáng)迫我 時(shí)間: 2025-3-30 02:17 作者: Banister 時(shí)間: 2025-3-30 04:18
