Trust Networks for Recommender Systems

📁 Trust Networks for Recommender Systems

✍ Patricia Victor, Chris Cornelis, Martine de Cock (auth.) 📂 Library 📅 2011 🏛 Atlantis Press 🌐 English

This book describes research performed in the context of trust/distrust propagation and aggregation, and their use in recommender systems. This is a hot research topic with important implications for various application areas. The main innovative contributions of the work are: -new bilattice-base

Recommender Systems for Location-based S

📁 Recommender Systems for Location-based Social Networks

✍ Panagiotis Symeonidis, Dimitrios Ntempos, Yannis Manolopoulos (auth.) 📂 Library 📅 2014 🏛 Springer-Verlag New York 🌐 English

Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabl

Trust for Intelligent Recommendation

📁 Trust for Intelligent Recommendation

✍ Touhid Bhuiyan (auth.) 📂 Library 📅 2013 🏛 Springer-Verlag New York 🌐 English

Recommender systems are one of the recent inventions to deal with the ever-growing information overload in relation to the selection of goods and services in a global economy. Collaborative Filtering (CF) is one of the most popular techniques in recommender systems. The CF recommends items to

Trust for Intelligent Recommendation

📁 Trust for Intelligent Recommendation

✍ Touhid Bhuiyan (auth.) 📂 Library 📅 2013 🏛 Springer-Verlag New York 🌐 English

Recommender systems are one of the recent inventions to deal with the ever-growing information overload in relation to the selection of goods and services in a global economy. Collaborative Filtering (CF) is one of the most popular techniques in recommender systems. The CF recommends items to

Social Network-Based Recommender Systems

📁 Social Network-Based Recommender Systems

✍ Daniel Schall (auth.) 📂 Library 📅 2015 🏛 Springer International Publishing 🌐 English

This book introduces novel techniques and algorithms necessary to support the formation of social networks. Concepts such as link prediction, graph patterns, recommendation systems based on user reputation, strategic partner selection, collaborative systems and network formation based on ‘social

Recommender Systems for Learning

📁 Recommender Systems for Learning

✍ Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Erik Duval (auth.) 📂 Library 📅 2013 🏛 Springer-Verlag New York 🌐 English

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and le