Results 11 to 20 of about 85,662 (301)
Privacy-Preserving Matrix Factorization for Cross-Domain Recommendation
IEEE Access, 2021 Cross-domain recommender systems are known to provide solutions to the cold start and data sparsity problems in recommender systems. This can be achieved by leveraging sufficient ratings and users’ profiles in one domain to enhance accurate ...
Taiwo Blessing Ogunseyi +2 more
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, 2015 The purpose of this chapter is to describe a software system that allows for discovering non-traditional education resources such as software applications, events or people who may participate as experts in some Learning Activity. Selecting the more suitable educational resources to create learning activities in the classroom may be a challenging task ...
Anido Rifón, Luis Eulogio +12 more
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International Journal of Artificial Intelligence and Machine Learning, 2021 The most challenging problem in human resources specially in the IT digital services company, is to assign the best collaborator’s in the adequate project , then ensure the delivery’s performance.in this paper we aim to develop à recommandation System using based-content and collaborative filtering in order to recommend potential profiles for a new job
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A Recommender System Method for Children’s Education Using Mobile Technology
IEEE Access, 2022 In the last decade, we have seen attention and scientific research in using technology, especially the mobile technology, in education. The critical effects of technology in child education are increasing motivation, the self-confidence of children and ...
Mohammad Moradi +2 more
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International Journal of Advanced Research in Science, Communication and Technology, 2021 In this study searched for the survey paper on recommendation system. Recommendation system sorts through massive amounts of data to identify interest of users and makes the information search easier. For that purpose many methods have been used. Collaborative Filtering (CF) is a method of making automatic predictions about the interests of customers ...
Siddhesh Masrurkar +2 more
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Generic system architecture for context-aware, distributed recommendation [PDF]
, 2017 In the existing literature on recommender systems, it is difficult to find an architecture for large-scale implementation. Often, the architectures proposed in papers are specific to an algorithm implementation or a domain.
Shah, Neel Harish
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A general framework for intelligent recommender systems
Applied Computing and Informatics, 2017 In this paper, we propose a general framework for an intelligent recommender system that extends the concept of a knowledge-based recommender system.
Jose Aguilar +2 more
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Outfit Recommender System [PDF]
, 2018 The online apparel retail market size in the United States is worth about seventy-two billion US dollars. Recommendation systems on retail websites generate a lot of this revenue.
Ramesh, Nikita
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HyperRS: Hypernetwork-Based Recommender System for the User Cold-Start Problem
IEEE Access, 2023 Meta-learning has been proven to be effective for the cold-start problem of recommender systems. Many meta-learning recommender systems that are designed for the user cold-start problem are gradient-based.
Yuxun Lu +2 more
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Providing a Model for Recommendation Systems of Information Resources in Iranian Library Software [PDF]
کتابداری و اطلاعرسانی, 2023 Objective: Users in the library software environment are immersed in a sea of information and searching in this space is time-consuming and confusing for them.
Sara Rezaeifard +3 more
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