Results 51 to 60 of about 1,139,810 (293)

Optimisation using Natural Language Processing: Personalized Tour Recommendation for Museums [PDF]

open access: yes, 2014
This paper proposes a new method to provide personalized tour recommendation for museum visits. It combines an optimization of preference criteria of visitors with an automatic extraction of artwork importance from museum information based on Natural ...
El-Bèze, Marc   +8 more
core   +4 more sources

Dexamethasone for Chemotherapy‐Induced Nausea and Vomiting Prevention in Pediatric Patients: International Consensus

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi   +20 more
wiley   +1 more source

Deep Potential Geo-Social Relationship Mining for Point-of-Interest Recommendation

open access: yesIEEE Access, 2019
Point-of-Interest (POI) recommendation has been an important research topic in data mining and the popularity of location-based social networks (LBSNs) has significantly contributed to POI recommendation.
Zhenggao Pan   +5 more
doaj   +1 more source

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users

open access: yes, 2017
Spatial item recommendation has become an important means to help people discover interesting locations, especially when people pay a visit to unfamiliar regions.
Du, Changying   +5 more
core   +1 more source

Real‐World Pediatric Blinatumomab Administration: Access to Outpatient Care Delivery and Impact of a Hospital‐Dispensed Model

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges   +12 more
wiley   +1 more source

Heterogeneous Graph Structure Learning for Next Point-of-Interest Recommendation

open access: yesAlgorithms
Next Point-of-Interest (POI) recommendation is aimed at predicting users’ future visits based on their current status and historical check-in records, providing convenience to users and potential profits to businesses.
Juan Chen, Qiao Li
doaj   +1 more source

Point-of-interest recommendation based on non-adjacent trajectory interaction model [PDF]

open access: yesITM Web of Conferences
Next Point-of-Interest(POl)recommendation aims to predict users'future behaviors based on their historical trajectories, providing significant value toboth users and service providers.
Li Yang, Ma Ying, Liu Se
doaj   +1 more source

Point of Interest Recommendation Algorithm of Gated Recurrent Unit Based on Time Series and Distance [PDF]

open access: yesJisuanji gongcheng, 2020
Most Point of Interest(POI) recommendation algorithms are susceptible to the influence of time and geographical location,causing incompleteness and ambiguity in related text information of POI.Starting from the correlation between time and geographical ...
XIA Yongsheng, WANG Xiaorui, BAI Peng, LI Mengmeng, XIA Yang, ZHANG Kai
doaj   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács   +8 more
wiley   +1 more source

AST-PG: Attention-Based Spatial–Temporal Point-of-Interest-Group Model for Real-Time Point-of-Interest Recommendation

open access: yesApplied Sciences
Research on next-point-of-interest (POI) recommendation has become a new focus in the field of POI recommendation in recent years. The goal of POI recommendation tasks is to predict a user’s future movement trajectory based on their current state and ...
Huarui Yu, Zesheng Cheng
doaj   +1 more source

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