Results 41 to 50 of about 811,009 (286)

A Systematic Review of the Impact of Auxiliary Information on Recommender Systems

IEEE Access
Recommender systems are essential tools that provide personalized user experiences across various domains such as e-commerce, entertainment, social media, education and content streaming.
Matthew O. Ayemowa, Roliana Ibrahim, Yunusa Adamu Bena   +2 more
doaj   +1 more source

Neutrosophic Exponential Ratio-Type Estimator for Finite Population Mean in Stratified Sampling [PDF]

Neutrosophic Sets and Systems
This paper introduces an innovative neutrosophic exponential ratio-type estimator for estimating finite population means in stratified sampling environments with indeterminate data.
Anisha Taneja, Sachin Malik, Prem Shankar Jha   +2 more
doaj   +1 more source

Eliciting Auxiliary Information for Cold Start User Recommendation: A Survey

Applied Sciences, 2021
Recommender systems suggest items of interest to users based on their preferences. These preferences are typically generated from user ratings of the items. If there are no ratings for a certain user or item, it is said that there is a cold start problem,
Nor Aniza Abdullah, Rasheed Abubakar Rasheed, Mohd Hairul Nizam Md. Nasir, Md Mujibur Rahman   +3 more
doaj   +1 more source

Auxiliary information: the raking-ratio empirical process

Electronic Journal of Statistics, 2019
46 ...
Albertus, Mickael, Berthet, Philippe
openaire   +6 more sources

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source

Some Calibration Estimators of the Mean of a Sensitive Variable Under Measurement Error

Mathematics
This study explores the estimation of the mean of a sensitive variable using calibration estimators under measurement error. Three randomized response techniques are evaluated: Partial Randomized Response Technique, Compulsory Randomized Response ...
Sat Gupta, Pidugu Trisandhya, Frank Coolen   +2 more
doaj   +1 more source

Collaborative Deep Learning for Recommender Systems [PDF]

, 2015
Collaborative filtering (CF) is a successful approach commonly used by many recommender systems. Conventional CF-based methods use the ratings given to items by users as the sole source of information for learning to make recommendation.
Baldi P., Bengio Y., Bishop C. M., Chen M., Georgiev K., Hu L., Krizhevsky A., Mikolov T., Oord A. V. D., Purushotham S., Rendle S., Salakhutdinov R., Salakhutdinov R., Wager S., Wang H., Wang H., Wang N.   +16 more
core   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 more
wiley   +1 more source

OGK Approach for Accurate Mean Estimation in the Presence of Outliers

Mathematics
This paper proposes a new family of robust estimators of means, depending on the Orthogonalized Gnanadesikan–Kettenring (OGK) covariance matrix. These estimators are computationally feasible and robust replacements of the Minimum Covariance Determinant ...
Atef F. Hashem, Abdulrahman Obaid Alshammari, Usman Shahzad, Soofia Iftikhar   +3 more
doaj   +1 more source

Finite Population Sampling With Multivariate Auxiliary Information [PDF]

Journal of the American Statistical Association, 1983
Abstract This article examines strategies that are approximately design-unbiased and nearly optimal, assuming a large-sample survey and a regression superpopulation model. A new class of predictors is proposed to link certain features of optimal design-unbiased and model-unbiased predictors.
openaire   +1 more source