Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sahiti Labhishetty"'
Autor:
Sahiti Labhishetty, ChengXiang Zhai
Publikováno v:
Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acad02038ce1f47d51075d97df5e16c1
https://doi.org/10.1145/3539813.3545136
https://doi.org/10.1145/3539813.3545136
Publikováno v:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd4b363f342452846f5a1b3c2c100a3d
https://doi.org/10.1145/3488560.3498503
https://doi.org/10.1145/3488560.3498503
Autor:
Sahiti Labhishetty, ChengXiang Zhai
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030997359
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f99303ebd66c27c6d96d4c35bd07f2f2
https://doi.org/10.1007/978-3-030-99736-6_23
https://doi.org/10.1007/978-3-030-99736-6_23
Autor:
Sahiti Labhishetty, Ismini Lourentzou, Michael Jeffrey Volk, Shekhar Mishra, Huimin Zhao, Chengxiang Zhai
Publikováno v:
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e3e1b5f9deecaeb92761c6740cc771c
https://doi.org/10.1109/bibm52615.2021.9669503
https://doi.org/10.1109/bibm52615.2021.9669503
Autor:
Sahiti Labhishetty, ChengXiang Zhai
Publikováno v:
SIGIR
User simulation is needed for evaluating Interactive Information Retrieval (IIR) Systems. However, for any user simulator to be useful, it must be reliable. In this paper, we propose a novel Tester-based evaluation approach to evaluating the reliabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4273e609b853d6cf29917048b2b0e909
https://doi.org/10.1145/3404835.3463091
https://doi.org/10.1145/3404835.3463091
Autor:
Prasad Pradip Joshi, Saar Kuzi, Shubhra Kanti Karmaker Santu, Sahiti Labhishetty, ChengXiang Zhai
Publikováno v:
CIKM
Learning to Rank is an important framework used in search engines to optimize the combination of multiple features in a single ranking function. In the existing work on learning to rank, such a ranking function is often trained on a large set of diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::528498ec3ac9f168f073fd225d3fa4d4
https://doi.org/10.1145/3357384.3358159
https://doi.org/10.1145/3357384.3358159
Publikováno v:
Mining Intelligence and Knowledge Exploration ISBN: 9783319719276
MIKE
MIKE
Wikipedia is the pervasive knowledge source for widely utilized applications like Google’s Knowledge Graph, IBM’s Watson and Apple’s Siri system. Wikipedia articles contain internal links and See also section links. According to Wikipedia, one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95f293dabe1062d2855b773f45539d61
https://doi.org/10.1007/978-3-319-71928-3_27
https://doi.org/10.1007/978-3-319-71928-3_27
Publikováno v:
ACM Transactions on Information Systems; Jan2024, Vol. 42 Issue 1, p1-29, 29p
Autor:
Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty
This two-volume set LNCS 13185 and 13186 constitutes the refereed proceedings of the 44th European Conference on IR Research, ECIR 2022, held in April 2022, due to the COVID-19 pandemic. The 35 full papers presented together with 11 reproducibility p