Results 21 to 30 of about 25,123 (277)
Promoting cold-start items in recommender systems. [PDF]
PLoS ONE, 2014 As one of the major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online.
Jin-Hu Liu +5 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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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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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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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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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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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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Improving electronic customers' profile in recommender systems using data mining techniques [PDF]
Management Science Letters, 2011 Recommender systems are tools for realization one to one marketing. Recommender systems are systems, which attract, retain, and develop customers. Recommender systems use several ways to make recommendations.
Mohammad Julashokri +3 more
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The transformative power of recommender systems in enhancing citizens’ satisfaction: Evidence from the Moroccan public sector [PDF]
Innovative MarketingThe study aims to specifically evaluate the potential impact of implementing AI-powered recommender systems on citizen satisfaction within Moroccan public services.
Ouissale El Gharbaoui +2 more
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