Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sahiti Labhishetty"'
Autor:
Sahiti Labhishetty, ChengXiang Zhai
Publikováno v:
Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval.
Publikováno v:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.
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).
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
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
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