Results 31 to 40 of about 1,237,966 (248)

A probabilistic model to resolve diversity-accuracy challenge of recommendation systems

, 2015
Recommendation systems have wide-spread applications in both academia and industry. Traditionally, performance of recommendation systems has been measured by their precision.
Jalili, Mahdi, Javari, Amin
core   +1 more source

Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation [PDF]

, 2018
Recommender systems have been widely applied in the literature to suggest individual items to users. In this paper, we consider the harder problem of package recommendation, where items are recommended together as a package.
Lin, Chenghua, Masthoff, Judith, Siddharthan, Advaith, Wibowa, Agung   +3 more
core   +1 more source

Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems

International Journal of Interactive Multimedia and Artificial Intelligence, 2020
This paper proposes a scalable and original classification-based deep neural architecture. Its collaborative filtering approach can be generalized to most of the existing recommender systems, since it just operates on the ratings dataset.
Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Santiago Alonso   +3 more
doaj   +1 more source

Sistem Rekomendasi untuk Optimalisasi Pemilihan Petak Makam di TPU menggunakan Metode Simple Additive Weighting Berbasis Web

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, Naldi Nashih Ulwan, Rinto Priambodo   +2 more
doaj   +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, Lee, Kyumin, Liu, Xinyue, Tran, Thanh   +3 more
core   +1 more source

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar, Denise M. Connolly, Ellen Kellington, Elyse Zelunka, Karla Kerrigan, Furqan Shaikh, Paul C. Nathan, Meredith S. Irwin, Sarah Cohen‐Gogo   +8 more
wiley   +1 more source

Exploring the Landscape of Hybrid Recommendation Systems in E-Commerce: A Systematic Literature Review

IEEE Access
This 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, Francis Palma, Arianit Kurti, Ilir Jusufi, Henrik Lowenadler   +4 more
doaj   +1 more source

IC-Service: A Service-Oriented Approach to the Development of Recommendation Systems [PDF]

, 2006
Recommendation systems have proven to be useful in various application domains. However, current solutions are usually ad-hoc systems which are tightly-coupled with the application domain.
Birukou, Aliaksandr, Blanzieri, Enrico, D'Andrea, Vincenzo, Giorgini, Paolo, Kokash, Natallia, Modena, Alessio   +5 more
core  

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

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
doaj   +1 more source