Social network and tag sources based augmenting collaborative recommender system

T Ma, J Zhou, M Tang, Y Tian… - IEICE transactions on …, 2015 - search.ieice.org
Recommender systems, which provide users with recommendations of content suited to
their needs, have received great attention in today's online business world. However, most …

[PDF][PDF] Social Network and Tag Sources Based Augmenting Collaborative Recommender System

T MA, J ZHOU, M TANG, Y TIAN, A AL-DHELAAN… - 2015 - scholar.archive.org
Recommender systems, which provide users with recommendations of content suited to
their needs, have received great attention in today's online business world. However, most …

Social Network and Tag Sources Based Augmenting Collaborative Recommender System

T MA, J ZHOU, M TANG, Y TIAN… - IEICE Transactions on …, 2015 - jstage.jst.go.jp
Recommender systems, which provide users with recommendations of content suited to
their needs, have received great attention in today's online business world. However, most …

Social Network and Tag Sources Based Augmenting Collaborative Recommender System

MA Tinghuai, Z Jinjuan, T Meili, T Yuan… - IEICE Transactions on …, 2015 - cir.nii.ac.jp
抄録 Recommender systems, which provide users with recommendations of content suited
to their needs, have received great attention in today's online business world. However …

[引用][C] Social Network and Tag Sources Based Augmenting Collaborative Recommender System

T Ma, J Zhou, M Tang, Y Tian… - … on Information and …, 2015 - ui.adsabs.harvard.edu
Social Network and Tag Sources Based Augmenting Collaborative Recommender System -
NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS Social Network …

Social network and tag sources based augmenting collaborative recommender system

T Ma, J Zhou, M Tang, Y Tian… - … on Information and …, 2015 - khu.elsevierpure.com
Recommender systems, which provide users with recommendations of content suited to
their needs, have received great attention in today's online business world. However, most …

[引用][C] Social network and tag sources based augmenting collaborative recommender system

T MA, J ZHOU, M TANG, Y TIAN, A AL-DHELAAN… - search.ieice.org
IEICE Trans Summary Japanese Page SITE TOP Login To browse Full-Text PDF. > Forgotten
your password? Menu Search Full-Text Search Search(JPN) Latest Issue A Fundamentals …

Social Network and Tag Sources Based Augmenting Collaborative Recommender System

T MA, J ZHOU, M TANG, Y TIAN… - IEICE Transactions on …, 2015 - jlc.jst.go.jp
Recommender systems, which provide users with recommendations of content suited to
their needs, have received great attention in today's online business world. However, most …