A survey of recommendation systems

A survey of recommendation systems

With the rapid development of the internet, how to mine and analyze massive network information has become a recognized hot and difficult problem. Among them, the recommendation system can provide users with accurate and fast business (commodities, projects, services, etc.) information, which is the...

Full description

Bibliographic Details
Main Authors:	Wanzhen ZHOU, Di CAO, Yunfeng XU, Bin LIU
Format:	Article
Language:	zho
Published:	Hebei University of Science and Technology 2020-02-01
Series:	Journal of Hebei University of Science and Technology
Subjects:	computer neural network; recommendation system; data mining; deep learning; information overload
Online Access:	http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b202001009&flag=1&journal_

Similar Items

Joint Implicit and Explicit Neural Networks for Question Recommendation in CQA Services
by: Hongkui Tu, et al.
Published: (2018-01-01)

DocCit2Vec: Citation Recommendation via Embedding of Content and Structural Contexts
by: Yang Zhang, et al.
Published: (2020-01-01)

Research on Efficient Multi-Behavior Recommendation Method Fused with Graph Neural Network
by: Huitong Lu, et al.
Published: (2023-05-01)

Ontology-Based Personalized Course Recommendation Framework
by: Mohammed E. Ibrahim, et al.
Published: (2019-01-01)

Deep Learning in Music Recommendation Systems
by: Markus Schedl
Published: (2019-08-01)

A Comprehensive Survey of Recommender Systems Based on Deep Learning
by: Hongde Zhou, et al.
Published: (2023-10-01)

An Interpretable and Scalable Recommendation Method Based on Network Embedding
by: Xuejian Zhang, et al.
Published: (2019-01-01)

Attention Collaborative Autoencoder for Explicit Recommender Systems
by: Shuo Chen, et al.
Published: (2020-10-01)

A Survey of Recommender Systems Based on Deep Learning
by: Ruihui Mu
Published: (2018-01-01)

Temporal attention graph-optimized networks for sequential recommendation
by: Pathak, Siddhant
Published: (2024)

Multi-list interfaces for recommender systems: survey and future directions
by: Benedikt Loepp
Published: (2023-08-01)

Sequential Recommendations on GitHub Repository
by: JaeWon Kim, et al.
Published: (2021-02-01)

Improving Explainable Recommendations by Deep Review-Based Explanations
by: Sixun Ouyang, et al.
Published: (2021-01-01)

Image Hashtag Recommendations Using a Voting Deep Neural Network and Associative Rules Mining Approach
by: Tomasz Hachaj, et al.
Published: (2020-11-01)

BiInfGCN: Bilateral Information Augmentation of Graph Convolutional Networks for Recommendation
by: Jingfeng Guo, et al.
Published: (2022-08-01)

Research on BP Neural Network Recommendation Model Fusing User Reviews and Ratings
by: Heyong Wang, et al.
Published: (2021-01-01)

DNR: A Unified Framework of List Ranking With Neural Networks for Recommendation
by: Chunting Wei, et al.
Published: (2021-01-01)

TRSDL: Tag-Aware Recommender System Based on Deep Learning–Intelligent Computing Systems
by: Nan Liang, et al.
Published: (2018-05-01)

Hybrid CNN-based Recommendation System
by: Muhammad Alrashidi, et al.
Published: (2024-02-01)

Multiview Fusion Using Transformer Model for Recommender Systems: Integrating the Utility Matrix and Textual Sources
by: Thi-Linh Ho, et al.
Published: (2023-05-01)

A Recommender for Research Collaborators Using Graph Neural Networks
by: Jie Zhu, et al.
Published: (2022-08-01)

Personalized Recommendation of Location-Based Services Using Spatio-Temporal-Aware Long and Short Term Neural Network
by: Xiaoshuang Sheng, et al.
Published: (2022-01-01)

Deep Learning-Based Context-Aware Recommender System Considering Contextual Features
by: Soo-Yeon Jeong, et al.
Published: (2021-12-01)

Deep Neural Network-Based Prediction and Early Warning of Student Grades and Recommendations for Similar Learning Approaches
by: Tao Tao, et al.
Published: (2022-08-01)

State-of-the-Art Survey on Deep Learning-Based Recommender Systems for E-Learning
by: Latifat Salau, et al.
Published: (2022-11-01)

A Survey on Hashtag Recommendations
by: Kirti Jain, et al.
Published: (2020-09-01)

KPRLN: deep knowledge preference-aware reinforcement learning network for recommendation
by: Di Wu, et al.
Published: (2023-05-01)

Sequential Recommendations on Board-Game Platforms
by: JaeWon Kim, et al.
Published: (2020-02-01)

Personalized Preference Drift Aware Sequential Recommender System
by: Nakarin Sritrakool, et al.
Published: (2021-01-01)

Efficient Resume-Based Re-Education for Career Recommendation in Rapidly Evolving Job Markets
by: Saeed Ashrafi, et al.
Published: (2023-01-01)

Dietary Behavior Based Food Recommender System Using Deep Learning and Clustering Techniques
by: Ammar Abdulsalam Al-Asadi, et al.
Published: (2023-06-01)

Image-based Product Recommendation Method for E-commerce Applications Using Convolutional Neural Networks
by: Pegah Malekpour Alamdari, et al.
Published: (2022-03-01)

A study and analysis of recommendation systems for location-based social network (LBSN) with big data
by: Murale Narayanan, et al.
Published: (2016-03-01)

RMPD: Method for Enhancing the Robustness of Recommendations With Attack Environments
by: Qi Ding, et al.
Published: (2021-01-01)

A Multimodal User-Adaptive Recommender System
by: Nicolás Torres
Published: (2023-09-01)

Enhancing recommender systems via data augmentation
by: Zhang, Lingzi
Published: (2024)

Recommendations for Mobile Apps Based on the HITS Algorithm Combined With Association Rules
by: Xiangliang Zhong, et al.
Published: (2019-01-01)

Enhanced Social Recommendation Method Integrating Rating Bias Offsets
by: Lu Han, et al.
Published: (2023-09-01)

A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources
by: Jiawei Liu, et al.
Published: (2022-01-01)

Music recommender system based on emotions from facial expression
by: Quah, Joey
Published: (2024)