Modeling Heterogeneous User Behavior In Interactive Systems By Graphical Model And Collaborative Learning Framework
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Modeling Heterogeneous User Behavior In Interactive Systems By Graphical Model And Collaborative Learning Framework
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Author : Jingshuo Feng
language : en
Publisher:
Release Date : 2021
Modeling Heterogeneous User Behavior In Interactive Systems By Graphical Model And Collaborative Learning Framework written by Jingshuo Feng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
In recent years, the rapid technological innovations of smart personal technologies have given rise to the growth of smart apps that can interact with users and implement personalized incentives to coordinate and change user behaviors in various realms such as e-commerce, patient-centered health system, and individual level transportation demand management (TDM) systems. Understanding user behaviors is crucial for further intervention strategy development and user experience optimization, hence the key to the success of the emerging applications. However, the existing statistical models encounter challenges when facing the unique characteristics of the systems, e.g., the user-system interactions make the apps more than data collection tools, but they also interfere with the user and change the user’s behavior; the users are heterogeneous in their preferences but data of a single user is limited and fragmented; the massive user base and its complicated structure will affect personalized learning and recommending. This dissertation develops novel models to address the aforementioned challenges based on collaborative learning framework, graphical models, and deep matrix factorization.
Fuzzy Logic Based Modeling In Collaborative And Blended Learning
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Author : Hadjileontiadou, Sofia J.
language : en
Publisher: IGI Global
Release Date : 2015-07-31
Fuzzy Logic Based Modeling In Collaborative And Blended Learning written by Hadjileontiadou, Sofia J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-31 with Education categories.
Technology has dramatically changed the way in which knowledge is shared within and outside of traditional classroom settings. The application of fuzzy logic to new forms of technology-centered education has presented new opportunities for analyzing and modeling learner behavior. Fuzzy Logic-Based Modeling in Collaborative and Blended Learning explores the application of the fuzzy set theory to educational settings in order to analyze the learning process, gauge student feedback, and enable quality learning outcomes. Focusing on educational data analysis and modeling in collaborative and blended learning environments, this publication is an essential reference source for educators, researchers, educational administrators and designers, and IT specialists. This premier reference monograph presents key research on educational data analysis and modeling through the integration of research on advanced modeling techniques, educational technologies, fuzzy concept maps, hybrid modeling, neuro-fuzzy learning management systems, and quality of interaction.
Session Based Recommender Systems Using Deep Learning
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Author : Reza Ravanmehr
language : en
Publisher: Springer Nature
Release Date : 2024-01-21
Session Based Recommender Systems Using Deep Learning written by Reza Ravanmehr and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-21 with Technology & Engineering categories.
This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). It presents the success of using deep learning techniques in many SBRS applications from different perspectives. For this purpose, the concepts and fundamentals of SBRS are fully elaborated, and different deep learning techniques focusing on the development of SBRS are studied. The book is well-modularized, and each chapter can be read in a stand-alone manner based on individual interests and needs. In the first chapter of the book, definitions and concepts related to SBRS are reviewed, and a taxonomy of different SBRS approaches is presented, where the characteristics and applications of each class are discussed separately. The second chapter starts with the basic concepts of deep learning and the characteristics of each model. Then, each deep learning model, along with its architecture and mathematical foundations, is introduced. Next, chapter 3 analyses different approaches of deep discriminative models in session-based recommender systems. In the fourth chapter, session-based recommender systems that benefit from deep generative neural networks are discussed. Subsequently, chapter 5 discusses session-based recommender systems using advanced/hybrid deep learning models. Eventually, chapter 6 reviews different learning-to-rank methods focusing on information retrieval and recommender system domains. Finally, the results of the investigations and findings from the research review conducted throughout the book are presented in a conclusive summary. This book aims at researchers who intend to use deep learning models to solve the challenges related to SBRS. The target audience includes researchers entering the field, graduate students specializing in recommender systems, web data mining, information retrieval, or machine/deep learning, and advanced industry developers working on recommender systems.
Anticipatory Systems Humans Meet Artificial Intelligence
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Author : Mu-Yen Chen
language : en
Publisher: Frontiers Media SA
Release Date : 2021-09-13
Anticipatory Systems Humans Meet Artificial Intelligence written by Mu-Yen Chen and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-13 with Science categories.
2021 Ieee 37th International Conference On Data Engineering Workshops Icdew
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2021-04-19
2021 Ieee 37th International Conference On Data Engineering Workshops Icdew written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-19 with categories.
We invite the submission of original research contributions in the following areas including cross boundaries or on other interesting topics for the database community Benchmarking, Performance Modelling, and Tuning Crowdsourcing Data Integration, Metadata Management, and Interoperability Data Mining and Knowledge Discovery Data Models, Semantics, Query languages Data Provenance, cleaning, curation Data Science Data Stream Systems and Sensor Networks Data Visualization and Interactive Data Exploration Database Security, Privacy, and Trust Database technology for machine learning Machine Learning for Database Systems Distributed, Parallel and P2P Data Management Graphs, RDF, Web Data and Social Networks Modern Hardware and In Memory Database Systems Query Processing, Indexing, and Optimization Search and Information extraction Strings, Texts, and Keyword Search Temporal, Spatial, Mobile and Multimedia Uncertain, Probabilistic and Approximate Databases Workflows, Scientific Databases
Click Models For Web Search
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Author : Aleksandr Chuklin
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Click Models For Web Search written by Aleksandr Chuklin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
With the rapid growth of web search in recent years the problem of modeling its users has started to attract more and more attention of the information retrieval community. This has several motivations. By building a model of user behavior we are essentially developing a better understanding of a user, which ultimately helps us to deliver a better search experience. A model of user behavior can also be used as a predictive device for non-observed items such as document relevance, which makes it useful for improving search result ranking. Finally, in many situations experimenting with real users is just infeasible and hence user simulations based on accurate models play an essential role in understanding the implications of algorithmic changes to search engine results or presentation changes to the search engine result page. In this survey we summarize advances in modeling user click behavior on a web search engine result page. We present simple click models as well as more complex models aimed at capturing non-trivial user behavior patterns on modern search engine result pages. We discuss how these models compare to each other, what challenges they have, and what ways there are to address these challenges. We also study the problem of evaluating click models and discuss the main applications of click models.
Resources In Education
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Author :
language : en
Publisher:
Release Date : 2001
Resources In Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Education categories.
Concepts And Techniques Of Graph Neural Networks
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Author : Kumar, Vinod
language : en
Publisher: IGI Global
Release Date : 2023-05-22
Concepts And Techniques Of Graph Neural Networks written by Kumar, Vinod and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-22 with Computers categories.
Recent advancements in graph neural networks have expanded their capacities and expressive power. Furthermore, practical applications have begun to emerge in a variety of fields including recommendation systems, fake news detection, traffic prediction, molecular structure in chemistry, antibacterial discovery physics simulations, and more. As a result, a boom of research at the juncture of graph theory and deep learning has revolutionized many areas of research. However, while graph neural networks have drawn a lot of attention, they still face many challenges when it comes to applying them to other domains, from a conceptual understanding of methodologies to scalability and interpretability in a real system. Concepts and Techniques of Graph Neural Networks provides a stepwise discussion, an exhaustive literature review, detailed analysis and discussion, rigorous experimentation results, and application-oriented approaches that are demonstrated with respect to applications of graph neural networks. The book also develops the understanding of concepts and techniques of graph neural networks and establishes the familiarity of different real applications in various domains for graph neural networks. Covering key topics such as graph data, social networks, deep learning, and graph clustering, this premier reference source is ideal for industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.
Explainable Recommendation
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Author : Yongfeng Zhang
language : en
Publisher:
Release Date : 2020-03-10
Explainable Recommendation written by Yongfeng Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-10 with Computers categories.
In recent years, a large number of explainable recommendation approaches have been proposed and applied in real-world systems. This survey provides a comprehensive review of the explainable recommendation research.
Collaborative Computing Networking Applications And Worksharing
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Author : Honghao Gao
language : en
Publisher: Springer Nature
Release Date : 2023-01-24
Collaborative Computing Networking Applications And Worksharing written by Honghao Gao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-24 with Computers categories.
The two-volume set LNICST 460 and 461 constitutes the proceedings of the 18th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2022, held in Hangzhou, China, in October 2022. The 57 full papers presented in the proceedings were carefully reviewed and selected from 171 submissions. The papers are organized in the following topical sections: Recommendation System; Federated Learning and application; Edge Computing and Collaborative working; Blockchain applications; Security and Privacy Protection; Deep Learning and application; Collaborative working; Images processing and recognition.