Results 41 to 50 of about 13,396 (303)
Personalized Ranking in eCommerce Search
We address the problem of personalization in the context of eCommerce search. Specifically, we develop personalization ranking features that use in-session context to augment a generic ranker optimized for conversion and relevance.
Aslanyan, Grigor +4 more
core +1 more source
Neural Response Ranking for Social Conversation: A Data-Efficient Approach [PDF]
The overall objective of 'social' dialogue systems is to support engaging, entertaining, and lengthy conversations on a wide variety of topics, including social chit-chat.
Dušek, Ondřej +2 more
core +2 more sources
Microbiological properties of rankers in the region of Western Serbia [PDF]
Ranker, or humus-silicate soil, is one of the most represented types of soil in the hilly-mountainous region of Western Serbia. Aiming to determine biogenity of such type of soil in Western Serbia, representation of the total microflora, fungi ...
Rasulić Nataša +4 more
doaj +1 more source
Soils of the mycological reserve on Lisina Mountain in the Republic of Srpska, Bosnia and Herzegovina [PDF]
This paper presents the results of soil research in a mycological reserve that is defined as a special nature reserve according to the IUCN categorization.
Eremija S. +2 more
doaj +1 more source
After being treated with protease K, peptides extracted from donkey blood were separated, identified, and characterized. The results showed that Sephadex G-25 medium purified with MW < 3 kDa had the highest dipeptidyl peptidase IV (DPP-IV) inhibition ...
Chaoyue Ma +3 more
doaj +1 more source
The paper describes the root system architecture of the forest tree species Fagus sylvatica L., Quercus robur L., Pinus sylvestris L., Carpinus betulus L., Acer platanoides L., and Alnus glutinosa (L.) Gaertn.
P. Čermák, F. Fér
doaj +1 more source
Learning Technology Manager Salary Survey 2010 [PDF]
The salary survey was conducted from 16 to 23 September 2010 with the support of the Association for Learning Technology (ALT) by ALT member, Dr. Rich Ranker, at Lancaster University.
Ranker, Rich
core
Rankers: a classification of synchronization problems
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Singh, Ambuj K., Gouda, Mohamed G.
openaire +1 more source
ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small +3 more
wiley +1 more source
Introduction: The use of machine learning (ML) methods can help clinicians predict neonatal sepsis better. Predicting mortality due to sepsis is essential for benchmarking and assessing NICU healthcare services.
Faiza Iqbal +7 more
doaj +1 more source

