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Assessment Methods for Evaluation of Recommender Systems: A Survey
Foundations of Computing and Decision Sciences, 2021 The recommender system (RS) filters out important information from a large pool of dynamically generated information to set some important decisions in terms of some recommendations according to the user’s past behavior, preferences, and interests.
Kuanr Madhusree, Mohapatra Puspanjali
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Discovering the Impact of Knowledge in Recommender Systems: A Comparative Study [PDF]
, 2011 Recommender systems engage user profiles and appropriate filtering techniques to assist users in finding more relevant information over the large volume of information.
Amini, Bahram +2 more
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Optimization of Recommender Systems Using Particle Swarms
Ingeniería, 2023 Background: Recommender systems are one of the most widely used technologies by electronic businesses and internet applications as part of their strategies to improve customer experiences and boost sales.
Nancy Yaneth Gelvez Garcia +2 more
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Typology of Personalization in Recommender Systems [PDF]
مدیریت نوآوری و راهبردهای عملیاتی, 2022 Purpose: With the development of science and technology, large volumes of structured, semi-structured, and unstructured data are generated daily at breakneck speeds from various sources.
Marziyeh Nourahmadi, Hojjatollah Sadeqi
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International Journal of Interactive Multimedia and Artificial Intelligence, 2023 Explanations in recommender systems are a requirement to improve users’ trust and experience. Traditionally, explanations in recommender systems are derived from their internal data regarding ratings, item features, and user profiles.
Marta Caro Martínez +2 more
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Users’ Responsiveness to Persuasive Techniques in Recommender Systems
Frontiers in Artificial Intelligence, 2021 Understanding user’s behavior and their interactions with artificial-intelligent-based systems is as important as analyzing the performance of the algorithms used in these systems.
Alaa Alslaity, Thomas Tran
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Opening the Black Box: Explaining the Process of Basing a Health Recommender System on the I-Change Behavioral Change Model [PDF]
, 2019 Recommender systems are gaining traction in healthcare because they can tailor recommendations based on users' feedback concerning their appreciation of previous health-related messages. However, recommender systems are often not grounded in behavioral
Amaya Rodríguez, Claudio Antonio +9 more
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Evaluation of recommender systems in streaming environments [PDF]
, 2015 Evaluation of recommender systems is typically done with finite datasets. This means that conventional evaluation methodologies are only applicable in offline experiments, where data and models are stationary.
Gama, João +2 more
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Digital Health, 2019 Objective Tailored digital health programs can promote positive health-related lifestyle changes and have been shown to be (cost) effective in trials. However, such programs are used suboptimally.
Kei Long Cheung +3 more
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Recommending Sources in News Recommender Systems
Proceedings of the 11th International Conference on Web Information Systems and Technologies, 2015 Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
Özgöbek Ö., Gulla J.A., Erdur R.C.
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