A novel approach based on multi-view reliability measures to alleviate data sparsity in recommender systems
出版年份 2019 全文链接
标题
A novel approach based on multi-view reliability measures to alleviate data sparsity in recommender systems
作者
关键词
Recommender systems, Collaborative filtering, Reliability measure, Data sparsity, Rating profile
出版物
MULTIMEDIA TOOLS AND APPLICATIONS
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2019-01-14
DOI
10.1007/s11042-018-7079-x
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More