Deep Learning in Music Recommendation Systems by Markus Schedl

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RECOMMENDER SYSTEMS IN E-COMMERCE APPLICATIONS by Gyöngyvér KOVÁCS, Mihai-Constantin AVORNICULUI, Botond BENEDEK

Subjects: “…Recommender system…”
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The power of ground user in recommender systems. by Yanbo Zhou, Linyuan Lü, Weiping Liu, Jianlin Zhang

“…Accuracy and diversity are two important aspects to evaluate the performance of recommender systems. Two diffusion-based methods were proposed respectively inspired by the mass diffusion (MD) and heat conduction (HC) processes on networks. …”
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Editorial: Reviews in recommender systems: 2022 by Dominik Kowald, Dominik Kowald, Deqing Yang, Emanuel Lacic

Subjects: “…recommender systems…”
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Plot-aware transformer for recommender systems by Suhua Wang, Zhen Huang, Bingjie Zhang, Xiantao Heng, Yeyi Jiang, Xiaoxin Sun

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Bias Reduction News Recommendation System by Shaina Raza

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Crowdsourced audit of Twitter’s recommender systems by Paul Bouchaud, David Chavalarias, Maziyar Panahi

“…Abstract This research conducts an audit of Twitter’s recommender system, aiming to examine the disparities between users’ curated timelines and their subscription choices. …”
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Recommendation system with minimized transaction data by Yujeong Hwangbo, Kyoung Jun Lee, Baek Jeong, Kyung Yang Park

“…This paper deals with the recommendation system in the so-called user-centric payment environment where users, i.e., the payers, can make payments without providing self-information to merchants. …”
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MULTILEVEL PERSONALIZATION OF EXPLANATIONS IN RECOMMENDER SYSTEMS by Serhii Chalyi, Volodymyr Leshchynskyi, Irina Leshchynska

Subjects: “…recommender systems…”
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Recommendation Systems for Education: Systematic Review by María Cora Urdaneta-Ponte, Amaia Mendez-Zorrilla, Ibon Oleagordia-Ruiz

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Recommender Systems meet Mechanism Design by Cai, Yang, Daskalakis, Constantinos

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Course recommendation system (front-end) by Chan, Kenneth Xian Liang

“…This report explores the development of a personalised course recommendation system seamlessly integrated into a user-friendly front-end interface, designed to assist students in selecting courses aligned with their academic goals and interests. …”
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Course recommendation systems (back-end) by Lin, Myat Htet

“…Recommender systems have been widely used in different domains such as e-commerce and streaming services to provide personalized recommendations to its users. …”
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E-commerce product recommendation system by Mody, Kimisha Piyush.

“…In response to this challenge, recommender systems based on information-filtering techniques are used. …”
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Exploiting context information in recommendation systems by Pham, Nguyen Tuan Anh

“…With the rapid growth of data in recent years, especially online and user-generated data, the role of recommendation systems becomes more important. Many recommendation methods have been proposed, among which context-aware recommendation systems have received significant interests from researchers due to their superior performance. …”
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Personalized recommender systems on the social web by Xu, Z

“…As such, personalized recommender systems have emerged, which aim to tailor the online information presented to the user based on their preferences. …”

Mechanism design for personalized recommender systems by Cai, Q, Filos-Ratsikas, A, Liu, C, Tang, P

Ontological user profiling in recommender systems. by Middleton, SE, Shadbolt, N, Roure, D

“…We explore a novel ontological approach to user profiling within recommender systems, working on the problem of recommending on-line academic research papers. …”

Ontology-based Conversational Recommender System for Recommending Camera by Restu Aditya Rachman, Z. K. A. Baizal

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Sparks of Artificial General Recommender (AGR): Experiments with ChatGPT by Guo Lin, Yongfeng Zhang

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