Results 61 to 70 of about 26,996,454 (309)
Decentralized Recommender Systems
CoRR, 2015 This paper proposes a decentralized recommender system by formulating the popular collaborative filleting (CF) model into a decentralized matrix completion form over a set of users. In such a way, data storages and computations are fully distributed.
Zhangyang Wang +5 more
openaire +2 more sources
Journal of Computer Science and Technology StudiesThis research explored movie recommendation systems based on predicting top-rated and suitable movies for users. This research proposed a hybrid movie recommendation system that integrates both text-to-number conversion and cosine similarity approaches ...
Md Rokibul Hasan, Janatul Ferdous MSc
semanticscholar +1 more source
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
A Personalization-Oriented Academic Literature Recommendation Method
Data Science Journal, 2015 As the number of digital academic items increases dramatically, it is more and more difficult for a student or researcher to find the expected references in a large academic literature database.
Zhongya Wang +4 more
doaj +1 more source
Movie recommendation system using machine learning [PDF]
International Journal of Research in Industrial Engineering, 2020 Nowadays, the recommendation system has made finding the things easy that we need. Movie recommendation systems aim at helping movie enthusiasts by suggesting what movie to watch without having to go through the long process of choosing from a large set ...
F. Furtado, A. Singh
doaj +1 more source
The Impact of Recommendation System on User Satisfaction: A Moderated Mediation Approach
Journal of Theoretical and Applied Electronic Commerce ResearchA recommendation system serves as a key factor for improving e-commerce users’ satisfaction by providing them with more accurate and diverse suggestions.
Xinyue He, Qi Liu, Sunho Jung
semanticscholar +1 more source
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018 The online apparel retail market size in the United States is worth about seventy-two billion US dollars. Recommender systems on retail websites generate a lot of this revenue. Thus, improving recommender systems can increase their revenue. Traditional recommendations for clothes consisted of lexical methods.
Nikita Ramesh, Teng-Sheng Moh
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
wiley +1 more source
Research Progress on Sequence Recommendation Based on Deep Learning and Large Language Model [PDF]
Jisuanji kexue yu tansuoThe recommendation system aims to solve the problem of overloading in the information retrieval system, and is committed to recommending personalized interest to users. The behavior of human interaction with the system has a certain order. When providing
XU Fengru, LI Bohan, XU Shuai
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier +10 more
wiley +1 more source