A novel approach based on multi-view reliability measures to alleviate data sparsity in recommender systems

Incorporating reliable virtual ratings into social recommendation systems

(2018) Sajad Ahmadian et al.   APPLIED INTELLIGENCE

A social recommendation method based on an adaptive neighbor selection mechanism

(2018) Sajad Ahmadian et al.   INFORMATION PROCESSING & MANAGEMENT

Collaborative recommendation algorithm based on probabilistic matrix factorization in probabilistic latent semantic analysis

(2018) Li Huang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A dynamic trust based two-layer neighbor selection scheme towards online recommender systems

(2018) Ziyang Zhang et al.   NEUROCOMPUTING

Enhancing recommendation on extremely sparse data with blocks-coupled non-negative matrix factorization

(2018) Zhen Yang et al.   NEUROCOMPUTING

Efficient collaborative filtering recommendations with multi-channel feature vectors

(2018) Heng-Ru Zhang et al.   International Journal of Machine Learning and Cybernetics

An effective social recommendation method based on user reputation model and rating profile enhancement

(2018) Sajad Ahmadian et al.   JOURNAL OF INFORMATION SCIENCE

Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems

(2017) Guibing Guo et al.   KNOWLEDGE-BASED SYSTEMS

Hybrid recommendation system based on semantic interest community and trusted neighbors

(2017) Hong Zhang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A content-based goods image recommendation system

(2017) Li Yu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Bilateral neural embedding for collaborative filtering-based multimedia recommendation

(2017) Yang Liu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Semantics-aware content-based recommender systems: Design and architecture guidelines

(2017) Ludovico Boratto et al.   NEUROCOMPUTING

A fuzzy model for managing natural noise in recommender systems

(2016) Raciel Yera et al.   APPLIED SOFT COMPUTING

Prediction uncertainty in collaborative filtering: Enhancing personalized online product ranking

(2016) Mingyue Zhang et al.   DECISION SUPPORT SYSTEMS

A multi-level collaborative filtering method that improves recommendations

(2016) Nikolaos Polatidis et al.   EXPERT SYSTEMS WITH APPLICATIONS

An evolutionary approach for combining results of recommender systems techniques based on collaborative filtering

(2016) Edjalma Queiroz da Silva et al.   EXPERT SYSTEMS WITH APPLICATIONS

Latent space regularization for recommender systems

(2016) Fu-Xing Hong et al.   INFORMATION SCIENCES

Recommending items to group of users using Matrix Factorization based Collaborative Filtering

(2016) Fernando Ortega et al.   INFORMATION SCIENCES

Dealing with the new user cold-start problem in recommender systems: A comparative review

(2016) Le Hoang Son   INFORMATION SYSTEMS

A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model

(2016) Antonio Hernando et al.   KNOWLEDGE-BASED SYSTEMS

A collaborative recommender system enhanced with particle swarm optimization technique

(2016) Rahul Katarya et al.   MULTIMEDIA TOOLS AND APPLICATIONS

From action to activity: Sensor-based activity recognition

(2016) Ye Liu et al.   NEUROCOMPUTING

Scalable learning of probabilistic latent models for collaborative filtering

(2015) Helge Langseth et al.   DECISION SUPPORT SYSTEMS

A reliability-based recommendation method to improve trust-aware recommender systems

(2015) Parham Moradi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Research patterns and trends of Recommendation System in China using co-word analysis

(2015) Jiming Hu et al.   INFORMATION PROCESSING & MANAGEMENT

Hierarchical Itemspace Rank: Exploiting hierarchy to alleviate sparsity in ranking-based recommendation

(2015) Athanasios N. Nikolakopoulos et al.   NEUROCOMPUTING

An effective trust-based recommendation method using a novel graph clustering algorithm

(2015) Parham Moradi et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Predicting online ratings based on the opinion spreading process

(2015) Xing-Sheng He et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Grey Forecast model for accurate recommendation in presence of data sparsity and correlation

(2014) Feng Xie et al.   KNOWLEDGE-BASED SYSTEMS

Multi-criteria collaborative filtering with high accuracy using higher order singular value decomposition and Neuro-Fuzzy system

(2014) Mehrbakhsh Nilashi et al.   KNOWLEDGE-BASED SYSTEMS

Estimating confidence of individual rating predictions in collaborative filtering recommender systems

(2013) Maciej A. Mazurowski   EXPERT SYSTEMS WITH APPLICATIONS

Facing the cold start problem in recommender systems

(2013) Blerina Lika et al.   EXPERT SYSTEMS WITH APPLICATIONS

Merging trust in collaborative filtering to alleviate data sparsity and cold start

(2013) Guibing Guo et al.   KNOWLEDGE-BASED SYSTEMS

Using profile expansion techniques to alleviate the new user problem

(2012) Vreixo Formoso et al.   INFORMATION PROCESSING & MANAGEMENT

Unifying rating-oriented and ranking-oriented collaborative filtering for improved recommendation

(2012) Yue Shi et al.   INFORMATION SCIENCES

Incorporating reliability measurements into the predictions of a recommender system

(2012) Antonio Hernando et al.   INFORMATION SCIENCES

An effective recommendation method for cold start new users using trust and distrust networks

(2012) Chien Chin Chen et al.   INFORMATION SCIENCES

Collaborative error-reflected models for cold-start recommender systems

(2011) Heung-Nam Kim et al.   DECISION SUPPORT SYSTEMS

A parallel matrix factorization based recommender by alternating stochastic gradient decent

(2011) Xin Luo et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE