MovieDIRec: Drafted-Input-Based Recommendation System for Movies by Hyeonwoo An, Daeyeol Kim, Kwangkee Lee, Nammee Moon

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Emergence of scale-free leadership structure in social recommender systems. by Tao Zhou, Matúš Medo, Giulio Cimini, Zi-Ke Zhang, Yi-Cheng Zhang

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A Survey on E-Learning Recommendation Systems for Autistic People by Vijayalaxmi N. Rathod, R. H. Goudar, Anjanabhargavi Kulkarni, Dhananjaya G M, Geetabai S. Hukkeri

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Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems by Xie, Yueqi, Gao, Jingqi, Zhou, Peilin, Ye, Qichen, Hua, Yining, Kim, Jae Boum, Wu, Fangzhao, Kim, Sunghun

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Trust decomposition with classification in probabilistic matrix factorization for recommender systems by Yan, Yang

“…Trust has become more and more effective in the recommender system, which complements rating-based similarity to help to improve the final performance of rating prediction. …”
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Mobile-web food recommendation system based on food reviews by Cheow, Tian Cong

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Mobile-web food recommendation system based on food reviews by Guo, Fuqiang

“…In this project, we aim to develop a recommendation system for food items in NTU canteens and restaurants. …”
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A critical study on MovieLens dataset for recommender systems by Tan, Ernest Yan Heng

“…The growth in recommendation systems (RecSys) research has led to the development of many toolkits, which provide users, who may have varying levels of knowledge in the field, with the necessary tools to build, test, evaluate and benchmark different algorithms. …”
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Impact of temporal context on recommender systems along global timeline by Ji, Yitong

“…Recommender systems filter through the vast pool of information and provide personalized recommendations. …”
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Towards trustworthy recommenders: building explainable and unbiased recommendation systems by Hu, Yidan

“…Our goal is to develop an explainable and unbiased recommendation system that improves the transparency and fairness of recommendation systems, as unfair recommendations are caused by various biases. …”
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Web-based English comprehension question analysis and recommendation system by Kay, Kim Ann

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A Review Text-based Recommendation System in Text Mining by Rinaldi, Rinaldi, Ferdiana, Ridi, Setiawan, Noor Akhmad

“…However, the large amount of data makes it difficult for users to find information that suits their needs. The recommendation system is an option to provide accurate information so that it can find and determine information based on needs. …”
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Customers’ loyalty model in the design of e-commerce recommender systems by Abumalloh, Rabab Ali

Subjects: “…Recommender systems (Information filtering)…”
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Attention and saliency on the internet: Evidence from an online recommendation system by Helmers, C, Krishnan, P, Patnam, M

“…Counterfactuals suggest that limited attention disproportionately harms top-selling products but recommendation systems can alleviate these search frictions.…”

A systematic review of scholar context-aware recommender systems by Champiri, Z.D., Shahamiri, S.R., Salim, S.S.

“…Incorporating contextual information in recommender systems is an effective approach to create more accurate and relevant recommendations. …”

Social Media Recommender Systems: Review and Open Research Issues by Anandhan, Anitha, Shuib, Liyana, Ismail, Maizatul Akmar, Mujtaba, Ghulam

“…In recent years, different types of review systems have been developed with the recommender system (RS). RSs are developed based on user textual reviews, ratings, and comparative opinions. …”

Adaptive method to improve web recommendation system for anonymous users by Almurtadha, Yahya Mohammed

Subjects: “…Recommender systems (Information filtering)…”
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HYPNER a framework for hybrid personalized news recommender systems by Darvishy, Asghar, Ibrahim, Hamidah, Sidi, Fatimah, Mustapha, Aida

“…The current problem in the existing news recommender system including the hybrid recommenders is that accuracy is still considerable low. …”
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Online Recommendation System - The Potential And Possibilities Of World -Of- Mouth On The Internet by T., Ramayah, Yeap, Ai Leen, Ignatius, Joshua

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Community Aware Recommendation System with Explicit and Implicit Link Prediction by Muhammed E Abd Alkhalec Tharwat, Muhammed E Abd Alkhalec Tharwat, Mohd Farhan Md Fudzee, Mohd Farhan Md Fudzee, Shahreen Kasim,, Shahreen Kasim, Azizul Azhar Ramli, Azizul Azhar Ramli, Mohanad Sameer Jabbar, Mohanad Sameer Jabbar, Farazdaq Nahedh Alsamawi, Farazdaq Nahedh Alsamawi

“…Recommendation systems are essential tools that help users discover content they may be interested in, amidst the vast amount of information available online. …”
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