Design and Construction of Hybrid Music Recommendation System Integrating Music Gene by Xuelin Zhao

“…Through the experimental research, it can be seen that the hybrid music recommendation system based on the fusion of music genes proposed in this study has a good music recommendation effect.…”
Get full text

Erratum to “A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks” by Rongmei Zhao, Xi Xiong, Xia Zu, Shenggen Ju, Zhongzhi Li, Binyong Li

Get full text

A Physics-Informed Cold-Start Capability for xEV Charging Recommender System by Raik Orbay, Aditya Pratap Singh, Johannes Emilsson, Michele Becciani, Evelina Wikner, Victor Gustafson, Torbjorn Thiringer

Subjects: Get full text

A Movie Recommender System Based on Topic Modeling using Machine Learning Methods by Mojtaba Kordabadi, Amin Nazari, Muharram Mansoorizadeh

Subjects: “…recommendation systems…”
Get full text

Developing a recommender system for the health tourism industry using data mining methods by reza molaee fard

Subjects: “…recommender system…”
Get full text

Hybrid Recommender System for Tourism Based on Big Data and AI: A Conceptual Framework by Khalid AL Fararni, Fouad Nafis, Badraddine Aghoutane, Ali Yahyaouy, Jamal Riffi, Abdelouahed Sabri

Subjects: “…recommender systems…”
Get full text

Efficient energy consumption in smart buildings using personalized NILM-based recommender system by Fatemeh Taghvaei, Ramin Safa

Subjects: Get full text

Enhancing Sentiment Analysis and Rating Prediction Using the Review Text Granularity (RTG) Model by Rajesh Garapati, Manomita Chakraborty

Subjects: Get full text

Product collaborative filtering based recommendation systems for large-scale E-commerce by Trang Trinh, Van-Ho Nguyen, Nghia Nguyen, Duy-Nghia Nguyen

Subjects: Get full text

Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey by Kamal Taha, Paul D. Yoo, Chan Yeun, Aya Taha

Subjects: Get full text

Development of an organizational and economic mechanism for the implementation of a product selection recommendation system by B.V. Kosogovskii

Subjects: Get full text

Designing Health Recommender Systems to Promote Health Equity: A Socioecological Perspective by Caroline A Figueroa, Helma Torkamaan, Ananya Bhattacharjee, Hanna Hauptmann, Kathleen W Guan, Gayane Sedrakyan

“… Health recommender systems (HRS) have the capability to improve human-centered care and prevention by personalizing content, such as health interventions or health information. …”
Get full text

Retracted: Design and Construction of Hybrid Music Recommendation System Integrating Music Gene by Journal of Electrical and Computer Engineering

Get full text

Teacher-centric educational recommender systems in K12 practice: Usage and evaluation by Sohum M. Bhatt, Katrien Verbert, Wim Van Den Noortgate

“…However, few studies have investigated how teachers use recommender systems in their practice. Educational recommender systems also require more investigation into how teachers assess recommendations to provide better systems in the future. …”
Get full text

Research on the graphical convolution neural network based benefits recommendation system strategy by Tao TAO, Zhen LI, Jibin WANG, Haiyong XU, Yong JIANG, Zhuo CEHN, Runbo ZHANG, Qingyuan HU

“…The recommendation system is one of the important methods to realize the intelligent recommendation of massive Internet benefit products.In order to improve the accuracy of personalized benefits recommendation, a deep learning recommendation system based on graph computing method was proposed.Considering the heterogeneity of multi-source data, a graph representation technology based on deep learning was carried out to construct the multiple relationship graph between users and benefit products.The multiple relationship graph extracted the information of graph structure, and model the heterogeneous graphs for the multi-dimensional features of users and the multiple interaction modes between rights and interests products, which effectively aggregated various interactive information and the multiple feature.A heterogeneous graph convolutional neural network was built to learn the high-dimensional feature vectors for various nodes, and excavate users＇ latent preferences to provide a recommendation link with strong interpretability, which greatly improved the recommendation success rate and generating economic value.…”
Get full text

Design and Implementation of ZigBee-Ontology-Based Exhibit Guidance and Recommendation System by Hung-Yu Chien, Shyr-Kuen Chen, Ching-Yang Lin, Jia-Ling Yan, Wei-Chen Liao, Huan-Yi Chu, Kuan-Ju Chen, Bo-Fan Lai, Yi-Ting Chen

“…In our research, we systematically examine the requirements and then propose a new architecture for museum/exhibition guidance service; we further, based on ZigBee and ontology, implemented a new guide device and a new guidance and recommendation system. The contributions include (1) an extendable and comprehensive architecture for guidance service; (2) an automatic and personalized guidance service system; (3) overcoming the limitations and weaknesses of conventional guidance systems short distance limitation and network saturation problem in crowded environments; and (4) on-line user status monitoring and real-time recommendation service.…”
Get full text

A Framework of Recommendation System for Unmanned Aerial Vehicle Autonomous Maneuver Decision by Qinzhi Hao, Tengyu Jing, Yao Sun, Zhuolin Yang, Jiali Zhang, Jiapeng Wang, Wei Wang

Subjects: “…recommendation system…”
Get full text

Hybrid Movie Recommendation System With User Partitioning and Log Likelihood Content Comparison by Yongmao Yang, Kampol Woradit, Kenneth Cosh

Subjects: “…Recommendation system…”
Get full text

Comprehensive Review of Meta-Learning Methods for Cold-Start Issue in Recommendation Systems by Jamallah M. Zawia, Maizatul Akmar Binti Ismail, Mohammad Imran, Buce Trias Hanggara, Diva Kurnianingtyas, Silvi Asna, Quang Tran Minh

Subjects: “…Recommendation systems…”
Get full text

SVD-GoRank: Recommender System Algorithm Using SVD and Gower’s Ranking by Ilham Saifudin, Triyanna Widiyaningtyas, Ilham Ari Elbaith Zaeni, Afrig Aminuddin

Subjects: Get full text