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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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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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Real-Time Recommendation of Streamed Data [PDF]
, 2015 This tutorial addressed two trending topics in the field of recommender systems research, namely A/B testing and real-time recommendations of streamed data.
Heintz, Tobias +3 more
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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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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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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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Beyond Personalization: Research Directions in Multistakeholder Recommendation [PDF]
, 2019 Recommender systems are personalized information access applications; they are ubiquitous in today's online environment, and effective at finding items that meet user needs and tastes.
Abdollahpouri, Himan +7 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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The state-of-the-art in personalized recommender systems for social networking [PDF]
, 2011 With the explosion of Web 2.0 application such as blogs, social and professional networks, and various other types of social media, the rich online information and various new sources of knowledge flood users and hence pose a great challenge in terms of ...
Cox, Clive +4 more
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