Benjamin Piwowarski
Benjamin Piwowarski
CNRS, ISIR, Sorbonne Université
Verified email at - Homepage
Cited by
Cited by
A user browsing model to predict search engine click data from past observations.
GE Dupret, B Piwowarski
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008
Towards a science of user engagement (position paper)
S Attfield, G Kazai, M Lalmas, B Piwowarski
WSDM workshop on user modelling for Web applications 1, 2011
SPLADE: Sparse lexical and expansion model for first stage ranking
T Formal, B Piwowarski, S Clinchant
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
Questeval: Summarization asks for fact-based evaluation
T Scialom, PA Dray, P Gallinari, S Lamprier, B Piwowarski, J Staiano, ...
arXiv preprint arXiv:2103.12693, 2021
Answers unite! unsupervised metrics for reinforced summarization models
T Scialom, S Lamprier, B Piwowarski, J Staiano
arXiv preprint arXiv:1909.01610, 2019
MLSUM: The multilingual summarization corpus
T Scialom, PA Dray, S Lamprier, B Piwowarski, J Staiano
arXiv preprint arXiv:2004.14900, 2020
SPLADE v2: Sparse lexical and expansion model for information retrieval
T Formal, C Lassance, B Piwowarski, S Clinchant
arXiv preprint arXiv:2109.10086, 2021
Handling data sparsity in collaborative filtering using emotion and semantic based features
Y Moshfeghi, B Piwowarski, JM Jose
Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011
What can quantum theory bring to information retrieval
B Piwowarski, I Frommholz, M Lalmas, K Van Rijsbergen
Proceedings of the 19th ACM international conference on Information and …, 2010
Predictive user click models based on click-through history
B Piwowarski, H Zaragoza
Proceedings of the sixteenth ACM conference on Conference on information and …, 2007
From distillation to hard negative sampling: Making sparse neural ir models more effective
T Formal, C Lassance, B Piwowarski, S Clinchant
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
Self-attention architectures for answer-agnostic neural question generation
T Scialom, B Piwowarski, J Staiano
Proceedings of the 57th annual meeting of the Association for Computational …, 2019
Web search engine evaluation using clickthrough data and a user model
G Dupret, V Murdock, B Piwowarski
WWW2007 workshop Query Log Analysis: Social and Technological Challenges 2, 2007
Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification
A Lopez-Rincon, A Tonda, M Elati, O Schwander, B Piwowarski, ...
Applied Soft Computing 65, 91-100, 2018
System and method for creating and applying predictive user click models to predict a target page associated with a search query
B Piwowarski, H Zaragoza
US Patent 9,195,743, 2015
Bayesian networks and INEX
B Piwowarski, GE Faure, P Gallinari
INEX 2002 Workshop Proceedings, 149-153, 2002
Supporting polyrepresentation in a quantum-inspired geometrical retrieval framework
I Frommholz, B Larsen, B Piwowarski, M Lalmas, P Ingwersen, ...
Proceedings of the third symposium on Information interaction in context …, 2010
Mining user web search activity with layered bayesian networks or how to capture a click in its context
B Piwowarski, G Dupret, R Jones
Proceedings of the Second ACM International Conference on Web Search and …, 2009
Evaluation in (XML) information retrieval: Expected precision-recall with user modelling (EPRUM)
B Piwowarski, G Dupret
Proceedings of the 29th annual international ACM SIGIR conference on …, 2006
Multilabel classification on heterogeneous graphs with gaussian embeddings
L Dos Santos, B Piwowarski, P Gallinari
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
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