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。A hybrid recommender system for an online store using a fuzzy expert system
Bogdan Walek et al.
EXPERT SYSTEMS WITH APPLICATIONS (2023)
Survey on Exact kNN Queries over High-Dimensional Data Space
Nimish Ukey et al.
SENSORS (2023)
Collaborative filtering and kNN based recommendation to overcome cold start and sparsity issues: A comparative analysis
Taushif Anwar et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2022)
A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction
Di Wu et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING (2022)
An L1-and-L2-Norm-Oriented Latent Factor Model for Recommender Systems
Di Wu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)
Intent Contrastive Learning for Sequential Recommendation
Yongjun Chen et al.
PROCEEDINGS OF THE ACM WEB CONFERENCE 2022 (WWW'22) (2022)
An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients
Wenbin Yue et al.
NEUROCOMPUTING (2021)
An initialization method to improve the training time of matrix factorization algorithm for fast recommendation
Mojtaba Mohammadian et al.
SOFT COMPUTING (2021)
Providing reliability in recommender systems through Bernoulli Matrix Factorization
Fernando Ortega et al.
INFORMATION SCIENCES (2021)
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems
Di Wu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021)
Enhancing recommendation stability of collaborative filtering recommender system through bio-inspired clustering ensemble method
R. Logesh et al.
NEURAL COMPUTING & APPLICATIONS (2020)
AutoTrustRec: Recommender System with Social Trust and Deep Learning using AutoEncoder
Gourav Bathla et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
A Novel Implicit Trust Recommendation Approach for Rating Prediction
Yakun Li et al.
IEEE ACCESS (2020)
The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains
Nicollas Silva et al.
INFORMATION SYSTEMS (2019)
A modified ant colony algorithm for personalized learning path construction
V. Vanitha et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2019)
Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning path
Lucila Romero et al.
INTERNATIONAL JOURNAL OF EDUCATIONAL TECHNOLOGY IN HIGHER EDUCATION (2019)
A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques
Mehrbakhsh Nilashi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
An SVM-based collaborative filtering approach for Top-N web services recommendation
Lifang Ren et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
Dual-regularized matrix factorization with deep neural networks for recommender systems
Hao Wu et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Matrix factorization for recommendation with explicit and implicit feedback
Shulong Chen et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Incremental Slope-one recommenders
Qing-Xian Wang et al.
NEUROCOMPUTING (2018)
Effects of preprocessing and training biases in latent factor models for recommender systems
Ye Yuan et al.
NEUROCOMPUTING (2018)
Performance improvement for recommender systems using ontology
Karamollah Bagherifard et al.
TELEMATICS AND INFORMATICS (2017)
Improving Collaborative Recommendation via User-Item Subgroups
Jiajun Bu et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2016)
Dealing with the new user cold-start problem in recommender systems: A comparative review
Le Hoang Son
INFORMATION SYSTEMS (2016)
The connections between three-way and classical concept lattices
Jianjun Qi et al.
KNOWLEDGE-BASED SYSTEMS (2016)
Improving matrix approximation for recommendation via a clustering-based reconstructive method
Ke Ji et al.
NEUROCOMPUTING (2016)
Fast Recommendations With the M-Distance
Mei Zheng et al.
IEEE ACCESS (2016)
Reversed CF: A fast collaborative filtering algorithm using a k-nearest neighbor graph
Youngki Park et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
Exploiting matrix factorization to asymmetric user similarities in recommendation systems
Parivash Pirasteh et al.
KNOWLEDGE-BASED SYSTEMS (2015)
A new user similarity model to improve the accuracy of collaborative filtering
Haifeng Liu et al.
KNOWLEDGE-BASED SYSTEMS (2014)
Three-way decisions with probabilistic rough sets
Yiyu Yao
INFORMATION SCIENCES (2010)
A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
Hyung Jun Ahn
INFORMATION SCIENCES (2008)
CinemaScreen recommender agent: Combining collaborative and content-based filtering
J Salter et al.
IEEE INTELLIGENT SYSTEMS (2006)