Maximizing E-Tailers’ Sales Volume through the Shipping-Fee Discount and Product Recommendation System by Yan Guo, Xiaonan Hu, Yu Zou, Shouwei Li, Wenchuan Cheng, Zhiyong Li

“…Therefore, using the shipping-fee discount and product recommendation system as a united marketing strategy can maximize e-tailers’ sales volume.…”
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Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System by Mohamed Shili, Salah Hammedi, Mahmoud Elkhodr

“…The evolving capabilities of Geographic Information Systems (GISs) are transforming various industries, including e-commerce, by providing enhanced spatial analysis and precision in customer targeting, and improving the ability of recommender systems. This paper proposes a novel framework that integrates mobile agents with GISs to deliver real-time, personalized recommendations in e-commerce. …”
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Erratum to “A Network and Visual Quality Aware N-Screen Content Recommender System Using Joint Matrix Factorization” by Farman Ullah, Ghulam Sarwar, Sungchang Lee

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Recommender Systems for Unified Modeling Language and Vice Versa—A Systematic Literature Review by Elaheh Azadi Marand, Amir Sheikhahmadi, Moharram Challenger, Parham Moradi, Alireza Khalilipour

Subjects: “…Recommender system…”
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A Smart Privacy-Preserving Learning Method by Fake Gradients to Protect Users Items in Recommender Systems by Guixun Luo, Zhiyuan Zhang, Zhenjiang Zhang, Yun Liu, Lifu Wang

“…In this paper, we study the problem of protecting privacy in recommender systems. We focus on protecting the items rated by users and propose a novel privacy-preserving matrix factorization algorithm. …”
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Cyclic Training of Dual Deep Neural Networks for Discovering User and Item Latent Traits in Recommendation Systems by Dohyoung Rim, Sirojiddin Nuriev, Younggi Hong

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A Clustering of Investors' Behavior according to Their Financial, Behavioral, and Demographic Characteristics (An Application of K-means Algorithm) by Marziyeh Nourahmadi, Hojjatollah Sadeqi

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DESIGN OF A PROPERTY PRODUCT RECOMMENDATION SYSTEM USING ASSOCIATION RULE METHOD BASED ON USER INTERACTION PATTERNS by Susi Wagiyati Purtiningruma, Yudi Irawan Chandrab, Dian Gustinaa, Nafisah Yuliania, Fahrul Nurzamana, Jhonny Z.Aa, Agus Wismoa

Subjects: “…property recommendation system…”
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Aggregating Contextual Information for Multi-Criteria Online Music Recommendations by Jieqi Liu

Subjects: “…Recommender systems…”
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An Improved Hybrid Collaborative Filtering Algorithm Based on Tags and Time Factor by Chunxia Zhang, Ming Yang, Jing Lv, Wanqi Yang

Subjects: “…recommendation system…”
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SNCA: Semi-Supervised Node Classification for Evolving Large Attributed Graphs by Faima Abbasi, Muhammad Muzammal, Qiang Qu, Farhan Riaz, Jawad Ashraf

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Fuzzy Logic Recommender Model for Housing by Emanuel G. Munoz, Jaime Meza, Sebastian Ventura

Subjects: “…Recommender systems…”
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A dynamic preference recommendation model based on spatiotemporal knowledge graphs by Xinyu Fan, Yinqin Ji, Bei Hui

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Description-based Post-hoc Explanation for Twitter List Recommendations by Havva Alizadeh Noughabi, Behshid Behkamal, Mohsen Kahani

Subjects: “…explainable recommender systems…”
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Low-frequency spectral graph convolution networks with one-hop connections information for personalized tag recommendation by Zhengshun Fei, Haotian Zhou, Jinglong Wang, Gui Chen, Xinjian Xiang

Subjects: “…Recommendation systems…”
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Integrating Social Relationships and Personality into MAS-Based Group Recommendations by Ariel Monteserin, Daiana Elin Madsen, Daniela Godoy, Silvia Schiaffino

Subjects: “…group recommender systems…”
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From Data to Decisions: The Power of Machine Learning in Business Recommendations by Kapilya Gangadharan, Anoop Purandaran, K. Malathi, Barathi Subramanian, Rathinaraja Jeyaraj, Soon Ki Jung

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On explaining recommendations with Large Language Models: a review by Alan Said

Subjects: “…recommender systems…”
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Efficient skyline query processing with user-specified conditional preference by Senfu Ke, Xiaodong Fu, Jie Li

Subjects: “…Recommendation system…”
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FSPPCFs: a privacy-preserving collaborative filtering recommendation scheme based on fuzzy C-means and Shapley value by Weiwei Wang, Wenping Ma, Kun Yan

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