Incorporating users satisfaction to resolve sparsity in recommendation systems by Kamal, S., Ibrahim, R., Ghani, I., Ziauddin, A.

“…Recommendation systems have shown great potential to help users in order to find interesting and relevant items from within a large information space. …”

A survey on data mining techniques in recommender systems by Najafabadi, M. K., Mohamed, A. H., Mahrin, M. N.

“…Recommender systems have been regarded as gaining a more significant role with the emergence of the first research article on collaborative filtering (CF) in the mid-1990s. …”

Course recommendation system using fuzzy logic approach by Sulaiman, M. S., Tamizi, A. A., Shamsudin, M. R., Azmi, A.

“…This paper proposed to develop a course recommendation system using fuzzy logic approach. The development methodology of this system involves several phases include requirements planning, user design and construction for prototyping, testing and cutover. …”
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An adaptive deep learning method for item recommendation system by Da’u, Aminu, Salim, Naomie, Idris, Rabiu

“…For many years user textual reviews have been exploited to model user/item representations for enhancing the performance of the Recommender System (RS). However, the traditional methods of the RSs basically rely on the static user/item feature vectors and ignore the fine-grained user–item interactions which could affect the accuracy of the RSs. …”

On Measuring the Contextual Relevance of Research Paper Recommendation Systems by Haruna, Khalid, Ismail, Maizatul Akmar

“…The contextual information present in scholarly papers plays a vital role in the implementation of research paper recommendation systems. However, the most critical concern is how to measure the contextual relevance of scholarly papers for better recommendations? …”
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Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment by May Altulyan, Lina Yao, Chaoran Huang, Xianzhi Wang, Salil S. Kanhere

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Multi-grained hypergraph interest modeling for conversational recommendation by Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang

Subjects: “…Conversational Recommender System…”
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Improving Quality of Life in Chronic Patients: A Pilot Study on the Effectiveness of a Health Recommender System and Its Usability by Alberto del Rio, Jennifer Jimenez, Rodrigo Medina-García, Cristina Lozano-Hernández, Federico Alvarez, Javier Serrano

Subjects: “…health recommender system…”
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Review-based collaborative recommender system using deep learning methods / by Aminu Da’u, 1980-, author 633229, Naomie Salim supervisor 612144, Fakulti Kejuruteraan. Sekolah Komputeran 619086

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Review-based collaborative recommender system using deep learning methods / by Aminu Da’u, 1980-, author 633229, Naomie Salim supervisor 612144, Fakulti Kejuruteraan. Sekolah Komputeran 619086

A Hybrid Recommender System Based on Autoencoder and Latent Feature Analysis by Shangzhi Guo, Xiaofeng Liao, Gang Li, Kaiyi Xian, Yuhang Li, Cheng Liang

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E-commerce Recommender System Using PCA and K-Means Clustering by Dendy Andra, Abdurahman Baizal baizal

Subjects: “…recommender system, collaborative filtering, principal component analysis, k-means, e-commerce…”
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Academic Recommender System Using Engagement Advising and Backward Chaining Model by Cut Fiarni, Arif Samuel Gunawan, Fredrick Victor

“…Conclusion: We propose an academic recommender system with KPIs visualization and academic planning information. …”
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A distributed real-time recommender system for big data streams by Heidy Hazem, Ahmed Awad, Ahmed Hassan Yousef

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Tourist Experiences Recommender System Based on Emotion Recognition with Wearable Data by Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno, Angela Chantre-Astaiza, Mario Munoz-Organero, Gustavo Ramirez-Gonzalez

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Recommender System for Arabic Content Using Sentiment Analysis of User Reviews by Amani Al-Ajlan, Nada Alshareef

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Dirichlet Matrix Factorization: A Reliable Classification-Based Recommender System by Raúl Lara-Cabrera, Álvaro González, Fernando Ortega, Ángel González-Prieto

Subjects: “…recommender systems…”
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NLP-Based Customer Loyalty Improvement Recommender System (CLIRS2) by Katarzyna Anna Tarnowska, Zbigniew Ras

Subjects: “…recommender systems…”
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Path-Based Recommender System for Learning Activities Using Knowledge Graphs by Christos Troussas, Akrivi Krouska

Subjects: “…knowledge-graph-based recommender system…”
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Research and Application of Edge Computing and Deep Learning in a Recommender System by Xiaopei Hao, Xinghua Shan, Junfeng Zhang, Ge Meng, Lin Jiang

Subjects: “…recommender system…”
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