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Recommender Systems

Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business and are used in a;

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Recommender Systems for Learning

of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or;

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Applied Recommender Systems with Python

of different types of recommender engines and how they function. Next, you will see how to build recommender systems with traditional algorithms such;

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Applied Recommender Systems with Python

of different types of recommender engines and how they function. Next, you will see how to build recommender systems with traditional algorithms such;

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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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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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Recommender Systems

of recommender systems, such as shilling systems, attack models, and their defenses are discussed. In addition, recent topics, such as learning to;

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Recommender Systems

, social data, tagging data, and trustworthiness are explored. Advanced topics and applications: Various robustness aspects of recommender systems;

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Information and Recommender Systems

, knowledge or representation. In a context of steady increase in the mass of information it is difficult to know what information to look for and;

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Recommender System for Online Social Network

recommender systems, the relation between these research areas is still unclear. An innovative idea, which enables to integrate these areas, and;

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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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Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making

, recommender systems, and knowledge systems; and security, artificial intelligence, and information systems.;

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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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Foundations of Intelligent Systems

and selected from 67 submissions. The papers are organized in topical sections on data mining methods; databases, information retrieval;

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Mobile Web and Intelligent Information Systems

This book constitutes the refereed proceedings of the 14th International Conference on Mobile Web and Intelligent Information Systems;

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Human-Computer Interaction

Human-Computer Interaction (HCI) is the current challenging issue of research and information technology. Areas of recent research such as;

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Towards Metadata-Aware Algorithms for Recommender Systems

problem has always been of great interest for both academic and industry. Metadata such as content information about the items (attributes) have;

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Web Information Systems Engineering WISE 2018

The two-volume set LNCS 11233 and LNCS 11234 constitutes the proceedings of the 19th International Conference on Web Information Systems;

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Advances in Databases and Information Systems

This book constitutes the thoroughly refereed proceedings of the 20th East European Conference on Advances in Databases and Information;

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Web Information Systems Engineering WISE 2020

and entity linkage; spatial temporal data analysis; and service computing and cloud computing Part II: information extraction; text;

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Web Information Systems Engineering WISE 2020

and entity linkage; spatial temporal data analysis; and service computing and cloud computing Part II: information extraction; text;

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Web Information Systems Engineering - WISE 2019

topical sections: blockchain and crowdsourcing; machine learning; deep learning; recommender systems, data mining; web-based applications; entity;

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Recommender Systems

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Web Page Recommendation Models

-commerce, health services, and many other information services. The Web also contains a rich and dynamic collection of hyperlink information, Web;

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Active Learning for Recommender Systems

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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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Internet Computing and Big Data

+ Simulation + Applications Search + Intelligent Databases + Text Information Management Cloud Computing + Web Services + Internet Computing and;

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