Results 51 to 60 of about 66,257 (173)
Recommender systems and their ethical challenges [PDF]
, 2020 This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical ...
Floridi, Luciano +2 more
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A Time-Aware CNN-Based Personalized Recommender System
Complexity, 2019 Recommender system has received tremendous attention and has been studied by scholars in recent years due to its wide applications in different domains. With the in-depth study and application of deep learning algorithms, deep neural network is gradually
Dan Yang +3 more
doaj +1 more source
A Fair and Safe Usage Drug Recommendation System in Medical Emergencies by a Stacked ANN
Algorithms, 2022 The importance of online recommender systems for drugs, medical professionals, and hospitals is growing. Today, the majority of people use online consultations for drug recommendations for all types of health issues. Emergencies such as pandemics, floods,
Usharani Bhimavarapu +2 more
doaj +1 more source
ANALYSIS OF CONTENT RECOMMENDATION METHODS IN INFORMATION SERVICES
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ŚrodowiskaThe object of the research is the process of selecting a content recommendation method in information services. The study's relevance stems from the rapid development of informational and entertainment resources and the increasing volume of data they ...
Oleksandr Necheporuk +4 more
doaj +1 more source
Educational Technology & Society, 2022 A newly emerged micro learning service offers a flexible formal, informal, or non-formal online learning opportunity to worldwide users with different backgrounds in real-time.
Jiayin Lin +3 more
doaj
Improving Recommender System Based on Item\u27s Structural Information in Affinity Network [PDF]
, 2014 This paper proposes a technique to improve the accuracy of recommender system result which employ collaborative filtering technique. The proposed method incorporates structural equivalence score of items in affinity network into collaborative filtering ...
Ma’arif, M. R. (Muhammad) +1 more
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Degenerate Feedback Loops in Recommender Systems
, 2019 Machine learning is used extensively in recommender systems deployed in products. The decisions made by these systems can influence user beliefs and preferences which in turn affect the feedback the learning system receives - thus creating a feedback ...
Chiappa, Silvia +4 more
core +1 more source
Can we do better than co-citations? Bringing Citation Proximity Analysis from idea to practice in research articles recommendation [PDF]
, 2017 In this paper, we build on the idea of Citation Proximity Analysis (CPA), originally introduced in [1], by developing a step by step scalable approach for building CPA-based recommender systems.
Khadka, Anita, Knoth, Petr
core
Iranian Journal of Information Processing & Management, 2017 Recommender systems suggest proper items to customers based on their preferences and needs. Needed time to search is reduced and the quality of customer’s choice is increased using recommender systems.
Jalal Rezaeenour, Fatemeh Sadat Lesani
doaj
On Explainable Fuzzy Recommenders and their Performance Evaluation
International Journal of Applied Mathematics and Computer Science, 2019 This paper presents a novel approach to the design of explainable recommender systems. It is based on the Wang–Mendel algorithm of fuzzy rule generation.
Rutkowski Tomasz +2 more
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