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Social Network-Based Recommender Systems

analysis and detailed summary. Social Network-Based Recommender Systems is designed as a reference for professionals and researchers working;

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Recommender System for Online Social Network

applies recommendation systems to the online social network systems, is presented in this book. Recommender systems for social networks differ;

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Applied Recommender Systems with Python

essential part of every internet-based business today. You'll start by learning basic concepts of recommender systems, with an overview;

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Applied Recommender Systems with Python

essential part of every internet-based business today. You'll start by learning basic concepts of recommender systems, with an overview;

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Recommender Systems

wide variety of industries, ranging from entertainment and social networking to information technology, tourism, education, agriculture;

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Recommender Systems

users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log;

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Recommender Systems

users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log;

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Web Information Systems Engineering WISE 2018

, social network, microblog data analysis, graph data, information extraction, text mining, recommender systems, medical data analysis, Web;

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Web Information Systems Engineering WISE 2020

organized in the following topical sections: Part I: network embedding; graph neural network; social network; graph query; knowledge graph;

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Web Information Systems Engineering WISE 2020

organized in the following topical sections: Part I: network embedding; graph neural network; social network; graph query; knowledge graph;

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Web Information Systems Engineering - WISE 2017

selected from 195 submissions. The papers cover a wide range of topics such as microblog data analysis, social network data analysis, data mining;

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Web Information Systems Engineering - WISE 2017

selected from 195 submissions. The papers cover a wide range of topics such as microblog data analysis, social network data analysis, data mining;

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Recommender Systems in Fashion and Retail

This book includes the proceedings of the second workshop on recommender systems in fashion and retail (2020), and it aims to present a;

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Practical Recommender Systems

Description Recommender systems are practically a necessity for keeping a site's content current, useful, and interesting to visitors;

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Web-Age Information Management

; social network and graphs; information retrieval; workflow systems and service computing; recommender systems; security, privacy, and trust;

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Personalization Techniques And Recommender Systems

knowledge-based recommender systems. It presents theoretic research in the context of various applications from mobile information access, marketing;

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Web Information Systems Engineering - WISE 2016

carefully reviewed and selected from 233 submissions. The papers cover a wide range of topics such as Social Network Data Analysis; Recommender;

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Web Information Systems Engineering - WISE 2016

carefully reviewed and selected from 233 submissions. The papers cover a wide range of topics such as Social Network Data Analysis; Recommender;

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Advanced Data Mining and Applications

; Recommender Systems; Social Network and Social Media; Behavior Modeling and User Profiling; Text and Multimedia Mining; Spatial-Temporal Data; Medical;

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Recommender Systems for Learning

learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an;

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Intelligent Information and Database Systems

: knowledge engineering and semantic Web; social networks and recommender systems; text processing and information retrieval; database systems and;

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Intelligent Information and Database Systems

: knowledge engineering and semantic Web; social networks and recommender systems; text processing and information retrieval; database systems and;

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Graph Representation Learning

, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation;

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Foundations of Intelligent Systems

, recommender systems; machine learning; knowledge representation, semantic web; emotion recognition, music information retrieval; network analysis;

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Collaborative Recommendations: Algorithms, Practical Challenges And Applications

-commerce, multimedia and Web content. Collaborative-based methods have been the focus of recommender systems research for more than two decades.The;

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Recommender Systems

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Active Learning for Recommender Systems

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