BIRDS 2021-bridging the gap between information science, information retrieval and data science

Ingo Frommholz; Haiming Liu; Massimo Melucci

doi:10.1145/3406522.3446059

BIRDS 2021-bridging the gap between information science, information retrieval and data science

Ingo Frommholz
, Haiming Liu
, Massimo Melucci

Institute for Research in Applicable Computing (IRAC)

University of Wolverhampton
University of Padua

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval
Publisher	Association for Computing Machinery
Pages	349-350
Number of pages	2
ISBN (Electronic)	9781450380553
ISBN (Print)	9781450380553
DOIs	https://doi.org/10.1145/3406522.3446059
Publication status	Published - 14 Mar 2021
Event	6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR) - Canberra Duration: 14 Mar 2021 → 19 Mar 2021

Publication series

Name	CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval

Conference

Conference	6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR)
City	Canberra
Period	14/03/21 → 19/03/21
Other	6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR) (14/03/2021-19/03/2021, Canberra )

Keywords

data science
information retrieval
information science
fairness
human-computer interaction
neural networks
statistical models
transparency
interpretability

ASJC Scopus subject areas

Human-Computer Interaction
Information Systems

Access to Document

10.1145/3406522.3446059

https://dl.acm.org/doi/10.1145/3406522.3446059

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Frommholz, I., Liu, H., & Melucci, M. (2021). BIRDS 2021-bridging the gap between information science, information retrieval and data science. In CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval (pp. 349-350). (CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval). Association for Computing Machinery. https://doi.org/10.1145/3406522.3446059

Frommholz, Ingo ; Liu, Haiming ; Melucci, Massimo. / BIRDS 2021-bridging the gap between information science, information retrieval and data science. CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval. Association for Computing Machinery, 2021. pp. 349-350 (CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval).

@inproceedings{e9d03021d5be489aa36a257a4b36a8ca,

title = "BIRDS 2021-bridging the gap between information science, information retrieval and data science",

keywords = "data science, information retrieval, information science, fairness, human-computer interaction, neural networks, statistical models, transparency, interpretability",

author = "Ingo Frommholz and Haiming Liu and Massimo Melucci",

year = "2021",

month = mar,

day = "14",

doi = "10.1145/3406522.3446059",

language = "English",

isbn = "9781450380553",

series = "CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval",

publisher = "Association for Computing Machinery",

pages = "349--350",

booktitle = "CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval",

address = "United States",

note = "6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR) ; Conference date: 14-03-2021 Through 19-03-2021",

}

Frommholz, I, Liu, H & Melucci, M 2021, BIRDS 2021-bridging the gap between information science, information retrieval and data science. in CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval. CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval, Association for Computing Machinery, pp. 349-350, 6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR), Canberra, 14/03/21. https://doi.org/10.1145/3406522.3446059

BIRDS 2021-bridging the gap between information science, information retrieval and data science. / Frommholz, Ingo; Liu, Haiming; Melucci, Massimo.
CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval. Association for Computing Machinery, 2021. p. 349-350 (CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - BIRDS 2021-bridging the gap between information science, information retrieval and data science

AU - Frommholz, Ingo

AU - Liu, Haiming

AU - Melucci, Massimo

PY - 2021/3/14

Y1 - 2021/3/14

KW - data science

KW - information retrieval

KW - information science

KW - fairness

KW - human-computer interaction

KW - neural networks

KW - statistical models

KW - transparency

KW - interpretability

UR - https://www.scopus.com/pages/publications/85102781783

U2 - 10.1145/3406522.3446059

DO - 10.1145/3406522.3446059

M3 - Conference contribution

SN - 9781450380553

T3 - CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval

SP - 349

EP - 350

BT - CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval

PB - Association for Computing Machinery

T2 - 6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR)

Y2 - 14 March 2021 through 19 March 2021

ER -

Frommholz I, Liu H, Melucci M. BIRDS 2021-bridging the gap between information science, information retrieval and data science. In CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval. Association for Computing Machinery. 2021. p. 349-350. (CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval). doi: 10.1145/3406522.3446059

BIRDS 2021-bridging the gap between information science, information retrieval and data science

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Handle.net

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Cite this