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1
An Axiomatic Approach to Regularizing Neural Ranking Models:
, In:
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Rosset, Corby
;
Mitra, Bhaskar
;
Xiong, Chenyan
... - p. 981-984 , 2019
Link:
https://dl.acm.org/doi/10.1145/3331184.3331296
RT T1
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
: T1
An Axiomatic Approach to Regularizing Neural Ranking Models
UL https://suche.suub.uni-bremen.de/peid=acm-3331296&Exemplar=1&LAN=DE A1 Rosset, Corby A1 Mitra, Bhaskar A1 Xiong, Chenyan A1 Craswell, Nick A1 Song, Xia A1 Tiwary, Saurabh PB ACM YR 2019 K1 axiomatic information retrieval K1 learning to rank K1 neural networks K1 Information systems K1 Information retrieval K1 Retrieval models and ranking K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Learning paradigms K1 Supervised learning K1 Ranking SP 981 OP 984 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3331184.3331296 DO https://dl.acm.org/doi/10.1145/3331184.3331296 SF ELIB - SuUB Bremen
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