Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Rodrygo L. T. Santos"'
Autor:
Rennan C. Lima, Rodrygo L. T. Santos
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49463e4e71a0a3f9a879184e12f5e079
https://doi.org/10.1145/3477495.3531713
https://doi.org/10.1145/3477495.3531713
Publikováno v:
Proceedings of the ACM Web Conference 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2214b57ed3ab29b8fb78c8055aea0c33
https://doi.org/10.1145/3485447.3512116
https://doi.org/10.1145/3485447.3512116
Publikováno v:
27th International Conference on Intelligent User Interfaces.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::542a1e0dd50b7ce4443b44ca4a242a3b
https://doi.org/10.1145/3490099.3511104
https://doi.org/10.1145/3490099.3511104
Autor:
Breno Matos, Rennan C. Lima, Jussara M. Almeida, Marcos André Gonçalves, Rodrygo L. T. Santos
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031190964
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::922ed02842046e6dff161292d5215bf2
https://doi.org/10.1007/978-3-031-19097-1_18
https://doi.org/10.1007/978-3-031-19097-1_18
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 11:1-26
Graph-based approaches provide an effective memory-based alternative to latent factor models for collaborative recommendation. Modern approaches rely on either sampling short walks or enumerating short paths starting from the target user in a user-it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14964ac32ddcc2882fcab71f415a6b34
https://doi.org/10.1145/3356882
https://doi.org/10.1145/3356882
Publikováno v:
SIGIR
SIGIR 2021: 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
SIGIR 2021: 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
Biomedical literature retrieval has greatly benefited from recent advances in neural language modeling. In particular, fine-tuning pretrained contextual language models has shown impressive results in recent biomedical retrieval evaluation campaigns.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c49ec12111f8f3dedfc1f38eb918029
https://doi.org/10.1145/3404835.3463075
https://doi.org/10.1145/3404835.3463075
Publikováno v:
NAACL-HLT
Machine learning solutions are often criticized for the lack of explanation of their successes and failures. Understanding which instances are misclassified and why is essential to improve the learning process. This work helps to fill this gap by pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55b97414af0932f093c5306e8822cb7f
https://doi.org/10.18653/v1/2021.naacl-main.143
https://doi.org/10.18653/v1/2021.naacl-main.143
Autor:
Rodrygo L. T. Santos, Gustavo Penha
Publikováno v:
RecSys
Ensembling multiple recommender systems via stacking has shown to be effective at improving collaborative recommendation. Recent work extends stacking to use additional user performance predictors (e.g., the total number of ratings made by the user)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::545720761bb6842e78c804a4427918c5
https://doi.org/10.1145/3383313.3412264
https://doi.org/10.1145/3383313.3412264
Publikováno v:
Journal of the Association for Information Science and Technology. 68:2380-2393
In this article we study the extent to which the interplay between recommended items affect recommendation effectiveness. We introduce and formalize the concept of co-utility as the property that any pair of recommended items has of being useful to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ac10a9db0101157ac7f56efb03026a5
https://doi.org/10.1002/asi.23853
https://doi.org/10.1002/asi.23853
Autor:
Arthur Câmara, Rodrygo L. T. Santos
Publikováno v:
RecSys
As search systems gradually turn into intelligent personal assistants, users increasingly resort to a search engine to accomplish a complex task, such as planning a trip, renting an apartment, or investing in stocks. A key challenge for the search en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27fd24e25d36fef53a5ec13ed8097779
https://doi.org/10.1145/3298689.3346994
https://doi.org/10.1145/3298689.3346994