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Gustavo Penha
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2020 – today
- 2024
- [c16]Gustavo Penha, Ali Vardasbi, Enrico Palumbo, Marco De Nadai, Hugues Bouchard:
Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other? RecSys 2024: 340-349 - 2023
- [b1]Gustavo Penha:
Designing and Diagnosing Models for Conversational Search and Recommendation. Delft University of Technology, Netherlands, 2023 - [c15]Gustavo Penha, Claudia Hauff:
Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues? ECIR (3) 2023: 132-147 - [c14]Gustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, Hugues Bouchard:
Improving Content Retrievability in Search with Controllable Query Generation. WWW 2023: 3182-3192 - [i10]Gustavo Penha, Claudia Hauff:
Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues? CoRR abs/2301.05508 (2023) - [i9]Gustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, Hugues Bouchard:
Improving Content Retrievability in Search with Controllable Query Generation. CoRR abs/2303.11648 (2023) - 2022
- [c13]Gustavo Penha, Eyal Krikon, Vanessa Murdock, Sandeep Avula:
Helping Voice Shoppers Make Purchase Decisions. CHI Extended Abstracts 2022: 266:1-266:8 - [c12]Gustavo Penha, Eyal Krikon, Vanessa Murdock:
Pairwise Review-Based Explanations for Voice Product Search. CHIIR 2022: 300-304 - [c11]Gustavo Penha, Arthur Câmara, Claudia Hauff:
Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators. ECIR (1) 2022: 397-412 - [c10]Gustavo Penha, Svitlana Vakulenko, Ondrej Dusek, Leigh Clark, Vaishali Pal, Vaibhav Adlakha:
The Seventh Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI'22). SIGIR 2022: 3466-3469 - [i8]Gustavo Penha, Claudia Hauff:
Sparse and Dense Approaches for the Full-rank Retrieval of Responses for Dialogues. CoRR abs/2204.10558 (2022) - 2021
- [c9]Gustavo Penha, Claudia Hauff:
On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search. EACL 2021: 160-170 - [c8]Gustavo Penha, Claudia Hauff:
Weakly Supervised Label Smoothing. ECIR (2) 2021: 334-341 - [i7]Gustavo Penha, Claudia Hauff:
On the Calibration and Uncertainty of Neural Learning to Rank Models. CoRR abs/2101.04356 (2021) - [i6]Gustavo Penha, Arthur Câmara, Claudia Hauff:
Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators. CoRR abs/2111.13057 (2021) - 2020
- [c7]Gustavo Penha, Claudia Hauff:
Curriculum Learning Strategies for IR. ECIR (1) 2020: 699-713 - [c6]Gustavo Penha, Claudia Hauff:
Challenges in the Evaluation of Conversational Search Systems. Converse@KDD 2020 - [c5]Gustavo Penha, Rodrygo L. T. Santos:
Exploiting Performance Estimates for Augmenting Recommendation Ensembles. RecSys 2020: 111-119 - [c4]Gustavo Penha, Claudia Hauff:
What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation. RecSys 2020: 388-397 - [i5]Gustavo Penha, Claudia Hauff:
What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation. CoRR abs/2007.15356 (2020) - [i4]Gustavo Penha, Claudia Hauff:
Slice-Aware Neural Ranking. CoRR abs/2010.03343 (2020) - [i3]Gustavo Penha, Claudia Hauff:
Weakly Supervised Label Smoothing. CoRR abs/2012.08575 (2020)
2010 – 2019
- 2019
- [c3]Gustavo Penha, Raphael R. Campos, Sérgio D. Canuto, Marcos André Gonçalves, Rodrygo L. T. Santos:
Document Performance Prediction for Automatic Text Classification. ECIR (2) 2019: 132-139 - [c2]Bruno L. Pereira, Alberto Ueda, Gustavo Penha, Rodrygo L. T. Santos, Nivio Ziviani:
Online learning to rank for sequential music recommendation. RecSys 2019: 237-245 - [i2]Gustavo Penha, Alexandru Balan, Claudia Hauff:
Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset. CoRR abs/1912.04639 (2019) - [i1]Gustavo Penha, Claudia Hauff:
Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking. CoRR abs/1912.08555 (2019) - 2017
- [j2]Lucas Henrique C. Lima, Gustavo Penha, Laís Mota de Alencar Rocha, Mirella M. Moro, Ana Paula Couto da Silva, Alberto H. F. Laender, José Palazzo M. de Oliveira:
The collaboration network of the Brazilian Symposium on Databases - 30 editions of history. J. Braz. Comput. Soc. 23(1): 10:1-10:16 (2017) - 2016
- [j1]Thiago H. P. Silva, Gustavo Penha, Ana Paula Couto da Silva, Mirella M. Moro:
A performance indicator for academic communities based on external publication profiles. Scientometrics 107(3): 1389-1403 (2016) - [c1]Gustavo Penha, Thiago N. C. Cardoso, Ana Paula Couto da Silva, Mirella M. Moro:
Análise de métodos de Inferência Ecológica em dados de redes sociais. SBBD 2016: 109-114
Coauthor Index
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last updated on 2024-10-23 21:25 CEST by the dblp team
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