Results 31 to 40 of about 953,109 (304)
The benefits of opening recommendation to human interaction [PDF]
This paper describes work in progress that uses an interactive recommendation process to construct new objects which are tailored to user preferences. The novelty in our work is moving from the recommendation of static objects like consumer goods, movies
Hurrell, Eoin, Smeaton, Alan F.
core +1 more source
The treatment practices for anterior urethral strictures in China: A case-based survey
ObjectiveTo investigate the treatment concept of Chinese urologists for anterior urethral strictures based on actual cases.MethodsA self-designed case-based questionnaire was distributed to the members of Official WeChat account of Learning Union from ...
Changhao Hou +15 more
doaj +1 more source
CBCRS: An open case-based color recommendation system [PDF]
In this paper, a case-based color recommendation system (CBCRS) is proposed for online color ranges (CRs) recommendation. This system can help designers and consumers to obtain the most appropriate CR of consumer-products (e.g., garments, cars ...
HONG, Yan +9 more
core +1 more source
Objective: The aim of the study was to introduce and evaluate the compliance to documentation of situation, background, assessment, recommendation (SBAR) form. Methods: Twenty nurses involved in active bedside care were selected by simple random sampling.
Meera S Achrekar +5 more
doaj +1 more source
Obesity affects an increasing number of children and adolescents. Physical activity (PA) is a significant factor in the prevention of excessive body mass in the pediatric population.
Justyna Wyszyńska +18 more
doaj +1 more source
Collaborative filtering (CF), a fundamental technique in personalized Recommender Systems, operates by leveraging user–item preference interactions. Matrix factorization remains one of the most prevalent CF-based methods.
Abdelghani Azri +2 more
doaj +1 more source
Resource Recommender for Cloud-Edge Engineering
The interaction between artificial intelligence (AI), edge, and cloud is a fast-evolving realm in which pushing computation close to the data sources is increasingly adopted.
Amirmohammad Pasdar +3 more
doaj +1 more source
Neural Hybrid Recommender: Recommendation Needs Collaboration [PDF]
In recent years, deep learning has gained an indisputable success in computer vision, speech recognition, and natural language processing. After its rising success on these challenging areas, it has been studied on recommender systems as well, but mostly to include content features into traditional methods.
Ezgi Yildirim +2 more
openaire +4 more sources
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
Integrated mobile content recommendation: A comparison study [PDF]
A recommendation system can be used to help mobile device users for content filtering. However, there are problems related to sparsity of information from a first-time user. The problem is also regarding to initial rating of the content in an early stage
Wong, K.W., Fung, C.C., Paireekreng, W.
core

