Results 61 to 70 of about 1,322 (154)
Query-Level Ranker Specialization. [PDF]
, 2017 Traditional Learning to Rank models optimize a single ranking function for all available queries. This assumes that all queries come from a homogenous source. Instead, it seems reasonable to assume that queries originate from heterogenous sources, where certain queries may require documents to be ranked differently.
Jagerman, R. +2 more
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Hierarchical Re-ranker Retriever (HRR)
CoRRRetrieving the right level of context for a given query is a perennial challenge in information retrieval - too large a chunk dilutes semantic specificity, while chunks that are too small lack broader context. This paper introduces the Hierarchical Re-ranker Retriever (HRR), a framework designed to achieve both fine-grained and high-level context ...
Ashish Singh, Priti Mohapatra
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The Surprising Effectiveness of Rankers trained on Expanded Queries
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information RetrievalAn important problem in text-ranking systems is handling the hard queries that form the tail end of the query distribution. The difficulty may arise due to the presence of uncommon, underspecified, or incomplete queries. In this work, we improve the ranking performance of hard or difficult queries without compromising the performance of other queries ...
Abhijit Anand +3 more
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Journal of Functional FoodsThis study aimed to elucidate the hypoglycemic effects and mechanisms of animal-derived blood peptide protein powder (BPPP). BPPP dose-dependently increased glucose uptake in C2C12 myotubes (100, 200, 400 μg/mL) without compromising cell viability ...
Gui'e Hu +6 more
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In Silico Screening of Bioactive Peptides in Stout Beer and Analysis of ACE Inhibitory Activity
FoodsStout beer was selected as the research object to screen angiotensin-converting enzyme (ACE) inhibitory peptides. The peptide sequences of stout beer were identified using ultra-performance liquid chromatography-quadrupole-Orbitrap mass spectrometry with
Wenhui Tian +9 more
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The increasing volume of job applications in modern recruitment pipelines has created a pressing need for automated, accurate, and unbiased candidate screening. The AI Resume Ranker addresses this challenge by leveraging advanced Natural Language Processing (NLP), machine learning, and semantic similarity techniques to evaluate and prioritize resumes ...
Harini R +4 more
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An Innovative Multiparametric Sensor Design for Detecting Microplastics and Heavy Metals
Elektronika ir ElektrotechnikaMicroplastics and heavy metals are materials that harm the environment and living organisms. Rapid detection enables their control or the identification of their sources. Conventional detection methods are expensive and require expert interpretation. The
Ekrem Kursad Dal +2 more
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This report documents the design and implementation of the Exo-Habitability-Ranker, a web application that ranks known exoplanets by a computed habitability score using the TOPSIS method. We detail data ingestion from the NASA Exoplanet Archive, preprocessing steps including feature selection and normalization, implementation of the TOPSIS algorithm ...
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Gathering Insights About Sexual Health Promotion From Adolescents' Adoption of COVID-19-Protective Behaviors. [PDF]
Health Educ BehavNelson KM +6 more
europepmc +1 more source