Related references
Note: Only part of the references are listed.A novel social network hybrid recommender system based on hypergraph topologic structure
Xiaoyao Zheng et al.
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS (2018)
Conformal matrix factorization based recommender system
Tadiparthi V. R. Himabindu et al.
INFORMATION SCIENCES (2018)
SVMs Classification Based Two-side Cross Domain Collaborative Filtering by inferring intrinsic user and item features
Xu Yu et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Tags and Item Features as a Bridge for Cross-Domain Recommender Systems
Ashish K. Sahu et al.
6TH INTERNATIONAL CONFERENCE ON SMART COMPUTING AND COMMUNICATIONS (2018)
Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation
Ming He et al.
WSDM'18: PROCEEDINGS OF THE ELEVENTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (2018)
A social recommender system using item asymmetric correlation
Arghavan Moradi Dakhel et al.
APPLIED INTELLIGENCE (2018)
An empirical study on the effect of data sparsity and data overlap on cross domain collaborative filtering performance
Hyunwoo Hwangbo et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Robust collaborative filtering based on non-negative matrix factorization and R1-norm
Fuzhi Zhang et al.
KNOWLEDGE-BASED SYSTEMS (2017)
Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems
Guibing Guo et al.
KNOWLEDGE-BASED SYSTEMS (2017)
Mining intrinsic information by matrix factorization-based approaches for collaborative filtering in recommender systems
Yangyang Li et al.
NEUROCOMPUTING (2017)
Cross Domain Recommender Systems: A Systematic Literature Review
Muhammad Murad Khan et al.
ACM COMPUTING SURVEYS (2017)
A unified framework of active transfer learning for cross-system recommendation
Lili Zhao et al.
ARTIFICIAL INTELLIGENCE (2017)
A probabilistic inference model for recommender systems
Jiajin Huang et al.
APPLIED INTELLIGENCE (2016)
An effective collaborative filtering algorithm based on user preference clustering
Jia Zhang et al.
APPLIED INTELLIGENCE (2016)
Dealing with the new user cold-start problem in recommender systems: A comparative review
Le Hoang Son
INFORMATION SYSTEMS (2016)
User profiling approaches for demographic recommender systems
Mohammad Yahya H. Al-Shamri
KNOWLEDGE-BASED SYSTEMS (2016)
A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model
Antonio Hernando et al.
KNOWLEDGE-BASED SYSTEMS (2016)
A survey of transfer learning for collaborative recommendation with auxiliary data
Weike Pan
NEUROCOMPUTING (2016)
HU-FCF plus plus : A novel hybrid method for the new user cold-start problem in recommender systems
Le Hoang Son
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)
Intuitionistic fuzzy recommender systems: An effective tool for medical diagnosis
Le Hoang Son et al.
KNOWLEDGE-BASED SYSTEMS (2015)
e-Learning recommender system for a group of learners based on the unified learner profile approach
Pragya Dwivedi et al.
EXPERT SYSTEMS (2015)
A new user similarity model to improve the accuracy of collaborative filtering
Haifeng Liu et al.
KNOWLEDGE-BASED SYSTEMS (2014)
Transfer learning in heterogeneous collaborative filtering domains
Weike Pan et al.
ARTIFICIAL INTELLIGENCE (2013)
Recommender systems survey
J. Bobadilla et al.
KNOWLEDGE-BASED SYSTEMS (2013)
Implicit feedback techniques on recommender systems applied to electronic books
Edward Rolando Nunez-Valdez et al.
COMPUTERS IN HUMAN BEHAVIOR (2012)
Recommendation System based on user interaction data applied to intelligent electronic books
Ruben Gonzalez Crespo et al.
COMPUTERS IN HUMAN BEHAVIOR (2011)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
MATRIX FACTORIZATION TECHNIQUES FOR RECOMMENDER SYSTEMS
Yehuda Koren et al.
COMPUTER (2009)
Fuzzy-genetic approach to recommender systems based on a novel hybrid user model
Mohammad Yahya H. Al-Shamri et al.
EXPERT SYSTEMS WITH APPLICATIONS (2008)
If you like the devil wears prada the book, will you also enjoy the devil wears prada the movie? A study of cross-domain recommendations
Pinata Winoto et al.
NEW GENERATION COMPUTING (2008)
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
G Adomavicius et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005)