Personality-Based Matrix Factorization for Personalization in Recommender Systems by Mazyar Ghezelji, Chitra Dadkhah, Nasim Tohidi, Alexander Gelbukh

Subjects: “…recommender system…”
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Assessment Methods for Evaluation of Recommender Systems: A Survey by Kuanr Madhusree, Mohapatra Puspanjali

Subjects: “…recommender system…”
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Recommendation System Based on Heterogeneous Feature: A Survey by Hui Wang, Zichun Le, Xuan Gong

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Layered Evaluation in Recommender Systems: A Retrospective Assessment by Nikos Manouselis, Charalampos Karagiannidis, Demetrios G Sampson

Subjects: “…Recommender systems…”
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Privacy-preserving recommendation system based on social relationships by Simin Yu, Hao Wang, Ye Su, Ziyu Niu, Zhi Li, Jianjun Liu, Jiwei Wang

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Hybrid scientific article recommendation system with COOT optimization by R. Sivasankari, J. Dhilipan

Subjects: “…Recommendation system…”
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The Formation of User Model in Scientifi c Recommender Systems by A.I. Guseva, V.S. Kireev, P.V. Bochkarev, D.S. Smirnov, S.A. Filippov

“… In this paper are considered questions which connected with building of the hybrid user model in scientific recommender systems. Offered model is consistent with conceptual model of the presentation scientific CERIF data (Common European Research Information Format). …”
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The Formation of User Model in Scientifi c Recommender Systems by A.I. Guseva, V.S. Kireev, P.V. Bochkarev, D.S. Smirnov, S.A. Filippov

“… In this paper are considered questions which connected with building of the hybrid user model in scientific recommender systems. Offered model is consistent with conceptual model of the presentation scientific CERIF data (Common European Research Information Format). …”
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Cognitive Similarity-Based Collaborative Filtering Recommendation System by Luong Vuong Nguyen, Min-Sung Hong, Jason J. Jung, Bong-Soo Sohn

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The Formation of User Model in Scientifi c Recommender Systems by A.I. Guseva, V.S. Kireev, P.V. Bochkarev, D.S. Smirnov, S.A. Filippov

Subjects: “…recommender system…”
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Real-Time Context-Aware Recommendation System for Tourism by JunHo Yoon, Chang Choi

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An Innovative Tour Recommendation System using Graph Algorithms by Md. Sabir Hossain, Ahsan Sadee Tanim, Nabila Nawal, Sharmin Akter

“…Conclusion: This tour recommendation system provides its users with a better trip planning and thus makes their holidays enjoyable.…”
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Regulating News Recommender Systems in Light of the Rule of Law by Sarah Eskens

Subjects: “…Online News Media, Recommender Systems, Recommending Regulation, Rule of the Algorithm…”
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Review of Movie Recommender Systems Based on Deep Learning by Yao ZiXi

“…In this paper, we review different approaches in deep learning based recommender systems.…”
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A Proactive Recommendation System for Writing in the Internet Age by Olga Muñoz, Gracia Castillo, Teresa Bajo, Mari Carmen Puerta Melguizo, Lou Boves

Subjects: “…Proactive recommender system…”
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Deep Learning Architecture for Collaborative Filtering Recommender Systems by Jesus Bobadilla, Santiago Alonso, Antonio Hernando

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Using principles of locality and connectivity of the context in recommender systems by Volodymyr Oleksandrovich Leshchynskyi, Irina Oleksandrivna Leshchynska

“…A two-phase approach to the formation of a decision-making context for a recommendation system is proposed, which provides for the consistent integration of the static and dynamic components of the context. …”
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Personalizing the E-Commerce – Experience: A Recommendation System by Lakshmi Kanth Mangalagiri, Abdul Mujeeb Mohd, Harshitha Manda, Rajinesh Chennoju, Madhu Bhukya, Vijendar Reddy G., Sobti Rajeev

“…The focal point of this project is the development of a recommendation system tailored for an E-commerce platform, poised to elevate user experiences and amplify sales. …”
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Neural Collaborative Filtering with Ontologies for Integrated Recommendation Systems by Rana Alaa El-deen Ahmed, Manuel Fernández-Veiga, Mariam Gawich

Subjects: “…recommendation systems…”
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A systematic review and research perspective on recommender systems by Deepjyoti Roy, Mala Dutta

Subjects: “…Recommender system…”
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