Diabetes medication recommendation system using patient similarity analytics by Wei Ying Tan, Qiao Gao, Ronald Wihal Oei, Wynne Hsu, Mong Li Lee, Ngiap Chuan Tan

“…This study aims to present an evidence-based diabetes medication recommendation system (DMRS) underpinned by patient similarity analytics. …”
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REHREC: Review Effected Heterogeneous Information Network Recommendation System by Farhad Khalilzadeh, Ilyas Cicekli

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A review on individual and multistakeholder fairness in tourism recommender systems by Ashmi Banerjee, Paromita Banik, Wolfgang Wörndl

Subjects: “…tourism recommender systems…”
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A Community-Driven Deep Collaborative Approach for Recommender Systems by Sofia Bourhim, Lamia Benhiba, M. A. Janati Idrissi

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On the Smaller Number of Inputs for Determining User Preferences in Recommender Systems by Sang-Min Choi, Dongwoo Lee, Chihyun Park

Subjects: “…recommender systems…”
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Automatic Movie Tag Generation System for Improving the Recommendation System by Hyogyeong Park, Sungjung Yong, Yeonhwi You, Seoyoung Lee, Il-Young Moon

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Image Recommendation System Based on Environmental and Human Face Information by Hye-min Won, Yong Seok Heo, Nojun Kwak

Subjects: “…recommendation system…”
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Featured Hybrid Recommendation System Using Stochastic Gradient Descent by Si Thin Nguyen, Hyun Young Kwak, Si Young Lee, Gwang Yong Gim

Subjects: “…Recommendation system…”
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Recommendation System Comparative Analysis: Internet of Things aided Networks by Wasswa Shafik, S. Mojtaba Matinkhah, Fawad Shokoor

“…In this state-of-the-art, we describe and classify current studies from three different aspects by describing different methods of recommender systems. The Friend Recommendation System in social networks is necessary and inevitable, and it is due to this kind of coordination that inevitably recommends latent friends to customers. …”
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DyCARS: A dynamic context-aware recommendation system by Zhiwen Hou, Fanliang Bu, Yuchen Zhou, Lingbin Bu, Qiming Ma, Yifan Wang, Hanming Zhai, Zhuxuan Han

Subjects: “…recommendation systems…”
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Item Genre-Based Users Similarity Measure for Recommender Systems by Jehan Al-Safi, Cihan Kaleli

“…A technique employed by recommendation systems is collaborative filtering, which predicts the item ratings and recommends the items that may be interesting to the user. …”
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Application of Improved K-Means Algorithm in Collaborative Recommendation System by Hui Jing

“…The research combines the improved artificial bee colony algorithm with K-means algorithm and applies them to the recommendation system to form a collaborative filtering recommendation algorithm. …”
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An Effective Hotel Recommendation System through Processing Heterogeneous Data by Md. Shafiul Alam Forhad, Mohammad Shamsul Arefin, A. S. M. Kayes, Khandakar Ahmed, Mohammad Jabed Morshed Chowdhury, Indika Kumara

“…Recommendation systems have recently gained a lot of popularity in various industries such as entertainment and tourism. …”
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A personalized recommendation system for multi-modal transportation systems by Fanyou Wu, Cheng Lyu, Yang Liu

Subjects: “…Recommendation system…”
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Fuzzy-Logic-Based Recommendation System for Processing in Condition Monitoring by Jakub Gorski, Mateusz Heesch, Michal Dziendzikowski, Ziemowit Dworakowski

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The Data Don’t Speak for Themselves: The Humanity of VOD Recommender Systems by Giorgio Avezzù

“… There is a widespread myth and rhetoric, even in academic discourse, about data and VOD recommender systems, especially with regard to the notion of automation and the innocence of this presumed automation. …”
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Improving Recommender Systems by a Further Factorization of the Factor Matrices by Hasan Idhaim, Yousef Kilani, Ayoub Alsarhan, Mohammad Aljaidi, Ala Altaweel, Ahmed Bouridane, Amjad Aldweesh

Subjects: “…Recommender system…”
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RecipeIS—Recipe Recommendation System Based on Recognition of Food Ingredients by Miguel Simões Rodrigues, Filipe Fidalgo, Ângela Oliveira

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Designing a Recommendation System for Accommodation Sector of Tourism Industry by mehdi kazemi, ali akbar nik nafas, mahdieh ahmad amui

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A Comparative Study of Rank Aggregation Methods in Recommendation Systems by Michał Bałchanowski, Urszula Boryczka

Subjects: “…recommendation systems…”
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