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Climbing the ladder: a ranking approach to burnout prediction. [PDF]
Dei Rossi A +6 more
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Retrieval augmented generation in dentistry: potentials, applications, and future directions. [PDF]
Firoozi T, Adabdokht R, Lai H.
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Exploring the Influence of Soil Types on the Mineral Profile of Honey: Implications for Geographical Origin Prediction. [PDF]
Schmidlová S +14 more
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Optimization of Sequential Enzymatic Hydrolysis in Porcine Blood and the Influence on Peptide Profile and Bioactivity of Prepared Hydrolysates. [PDF]
Moreno-Mariscal C +4 more
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Multilabel Ranking with Inconsistent Rankers
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021While most existing multilabel ranking methods assume the availability of a single objective label ranking for each instance in the training set, this paper deals with a more common case where only subjective inconsistent rankings from multiple rankers are associated with each instance. Two ranking methods are proposed from the perspective of instances
Xin, Geng +3 more
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Proceedings of the 36th Annual ACM Symposium on Applied Computing, 2021
Information Retrieval is an area where evaluation is crucial to validate newly proposed models. As the first step in the evaluation of models, researchers carry out offline experiments on specific datasets. While the field started around ad-hoc search, the number of new tasks is continuously growing.
David Otero +2 more
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Information Retrieval is an area where evaluation is crucial to validate newly proposed models. As the first step in the evaluation of models, researchers carry out offline experiments on specific datasets. While the field started around ad-hoc search, the number of new tasks is continuously growing.
David Otero +2 more
openaire +1 more source
Neurocomputing, 2016
Abstract Social Network Ranker (SoNeR) is software that retrieves, from the Semantic Web, documents describing people (users) and ranks them based on their popularity. It provides supportive tools for obtaining the related FOAF/RDF documents, parsing them, detecting identity synonyms and ranking people.
Gajo Petrović, Hamido Fujita
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Abstract Social Network Ranker (SoNeR) is software that retrieves, from the Semantic Web, documents describing people (users) and ranks them based on their popularity. It provides supportive tools for obtaining the related FOAF/RDF documents, parsing them, detecting identity synonyms and ranking people.
Gajo Petrović, Hamido Fujita
openaire +1 more source
2011
At the heart of many effective approaches to the core information retrieval problem-identifying relevant content-lies the following three-fold strategy: obtaining content based matches, inferring additional ranking criteria and constraints, and combining all of the above so as to arrive at a single ranking of retrieval units.
Hofmann, K., Whiteson, S., de Rijke, M.
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At the heart of many effective approaches to the core information retrieval problem-identifying relevant content-lies the following three-fold strategy: obtaining content based matches, inferring additional ranking criteria and constraints, and combining all of the above so as to arrive at a single ranking of retrieval units.
Hofmann, K., Whiteson, S., de Rijke, M.
openaire +3 more sources
Different Rankers on Different Subcollections
2015Recent work has shown that when documents in a TREC ad hoc collection are partitioned, different rankers will perform optimally on different partitions. This result suggests that choosing different highly effective rankers for each partition and merging the results, should be able to improve overall effectiveness.
Jones, Timothy +4 more
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Multilabel Ranking with Inconsistent Rankers
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014While most existing multilabel ranking methods assume the availability of a single objective label ranking for each instance in the training set, this paper deals with a more common case where subjective inconsistent rankings from multiple rankers are associated with each instance.
Xin Geng, Longrun Luo
openaire +1 more source

