Results 51 to 60 of about 2,536,972 (251)

Toward more realistic career path prediction: evaluation and methods

Frontiers in Big Data
Predicting career trajectories is a complex yet impactful task, offering significant benefits for personalized career counseling, recruitment optimization, and workforce planning.
Elena Senger, Elena Senger, Yuri Campbell, Rob van der Goot, Barbara Plank   +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  

Hete-CF: Social-Based Collaborative Filtering Recommendation using Heterogeneous Relations

, 2014
Collaborative filtering algorithms haven been widely used in recommender systems. However, they often suffer from the data sparsity and cold start problems.
Luo, Chen, Pang, Wei, Wang, Zhe
core   +2 more sources

Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy, Elizabeth L. Seashore, W. Susan Cheng, Shondra Clay, Jessica A. Casas, Jennifer H. Foster   +5 more
wiley   +1 more source

Spatial-Temporal Aware Intelligent Service Recommendation Method Based on Distributed Tensor factorization for Big Data Applications

IEEE Access, 2018
With the dramatic growth of public cloud offerings and heterogeneous data information, how to discover potentially valuable information from big history behavior data and design intelligent recommendation techniques has become more and more important ...
Shunmei Meng, Huihui Wang, Qianmu Li, Yun Luo, Wanchun Dou, Shaohua Wan   +5 more
doaj   +1 more source

Using fuzzy logic to handle the semantic descriptions of music in a content-based retrieval system [PDF]

, 2006
This paper explores the potential use of fuzzy logic for semantic music recommendation. We show that a set of affective/emotive, structural and kinaesthetic descriptors can be used to formulate a query which allows the retrieval of intended music.
Leman, Marc, Lesaffre, Micheline
core  

The Efficacy and Safety of Bevacizumab/Irinotecan/Temozolomide (BIT) for Relapsed/Refractory Neuroblastoma: The UK Children's Cancer and Leukaemia Group Experience

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Patients with high‐risk neuroblastoma who either are refractory to induction chemotherapy or relapse following multi‐modal treatment have a dismal prognosis. Based on data from the BEACON trial, since 2021 the UK national guidelines recommend bevacizumab, irinotecan, and temozolomide (BIT) for patients with relapsed/refractory ...
Thomas J. Jackson, Menna Shamma, Upeka Senanayake, Shaimaa Sahmoud, Kathleen Duffin, Victoria Howard, David King, Ayesha Fathani, Blanche Lumb, Andrei Pobischan, Irum Latif Memon, Monzir Ahmed, Rhian Thomas, Gerard Millen, Yasmeen Alomari, Sucheta Vaidya, Lynley V. Marshall, Sally L. George, Ramya Ramanujachar, Juliet Gray, Paola Angelini   +20 more
wiley   +1 more source

A higher-performance big data-based movie recommendation system

Nonlinear Engineering
This paper proposes a Movie Recommendation System (MRS) based on big data. MRS adopts B/S architecture and uses front-end and back-end separation modes.
Zhu Lin, Zhuang Li
doaj   +1 more source

Implementing Health‐Related Quality of Life Assessment in Pediatric Oncology: A Feasibility Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background There is growing interest in embedding health‐related quality of life (HRQoL) assessment and patient‐reported outcome measures (PROMs) within clinical cancer care. This study evaluated the feasibility, acceptability, and usability of implementing an electronic PROM (ePROM) platform to measure HRQoL in children with cancer ...
Mikaela Doig, Sophie Jessop, Jordan R. Hansford, Hien Le, Matthew O'Connor, Peter Gorayski, Andrew Cunningham, Amanda Hutchinson, Victoria Bedford, Eva Bezak, Nayana Parange, Kelly Skelton, Timothy Price, Michala Short   +13 more
wiley   +1 more source

Temporal-Spatial Recommendation for Caching at Base Stations via Deep Reinforcement Learning

IEEE Access, 2019
Proactive caching at the base station (BS) is a promising way to leverage the user-behavior-related information to boost network throughput and improve user experience.
Kaiyang Guo, Chenyang Yang
doaj   +1 more source