Results 31 to 40 of about 1,248,050 (270)
Content-boosted Matrix Factorization Techniques for Recommender Systems [PDF]
, 2013 Many businesses are using recommender systems for marketing outreach. Recommendation algorithms can be either based on content or driven by collaborative filtering.
Nguyen, Jennifer, Zhu, Mu
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Jurnal Sisfokom, 2021 In life, there is also death, every day the number of people who are born in the world continues to increase followed by the death of a person. The death rate in DKI Jakarta in early 2020 was 3,072 reports and then there was a significant increase in ...
Alfi Nurfazri +2 more
doaj +1 more source
A Hybrid Web Recommendation System based on the Improved Association Rule Mining Algorithm
, 2013 As the growing interest of web recommendation systems those are applied to deliver customized data for their users, we started working on this system.
Mukhopadhyay, Debajyoti +2 more
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Recommendation System Based on Users Preference Mining Generative Adversarial Networks
Jisuanji kexue yu tansuo, 2020 Users preference mining is one of the key issues in the research field of recommendation system, and it plays a very important role in improving the recommendation performance.
LI Guangli, HUA Jin, YUAN Tian, ZHU Tao, WU Renzhong, JI Donghong, ZHANG Hongbin
doaj +1 more source
Recommendation System for News Reader [PDF]
, 2013 Recommendation Systems help users to find information and make decisions where they lack the required knowledge to judge a particular product. Also, the information dataset available can be huge and recommendation systems help in filtering this data ...
Athalye, Shweta
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
IEEE AccessThis article presents a systematic literature review on hybrid recommendation systems (HRS) in the e-commerce sector, a field characterized by constant innovation and rapid growth.
Kailash Chowdary Bodduluri +4 more
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METHOD OF COLLABORATIVE FILTRATION BASED ON ASSOCIATIVE NETWORKS OF USERS SIMILARITY
Сучасні інформаційні системи, 2018 The subject matter of the article is the processes of generating a recommendations list for users of a website. The goal is to develop the new method of collaborative filtering based on building associative networks of users similarity to improve the ...
Yelyzaveta Meleshko
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie +4 more
wiley +1 more source
Signed Distance-based Deep Memory Recommender
, 2019 Personalized recommendation algorithms learn a user's preference for an item by measuring a distance/similarity between them. However, some of the existing recommendation models (e.g., matrix factorization) assume a linear relationship between the user ...
Kong, Xiangnan +3 more
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