2020
DOI: 10.1007/978-3-030-63799-6_26
|View full text |Cite
|
Sign up to set email alerts
|

Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 15 publications
0
2
0
Order By: Relevance
“…Even where articles were within the scope of this review, authors used considerably different criteria for assessing retention, such as outcome data return or availability, attendance at a clinic visit, participant status at a specific point in follow up or completion of all required research activities. Going forward, ORRCA2 search strategies will be optimised based on the identified literature, and text mining will be utilised in order to efficiently maintain the resource 40,41 . However, we recommend that in the absence of a universally agreed definitions, authors must clearly describe their criteria and approach to the measurement of retention to allow readers to assess their relevance better.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Even where articles were within the scope of this review, authors used considerably different criteria for assessing retention, such as outcome data return or availability, attendance at a clinic visit, participant status at a specific point in follow up or completion of all required research activities. Going forward, ORRCA2 search strategies will be optimised based on the identified literature, and text mining will be utilised in order to efficiently maintain the resource 40,41 . However, we recommend that in the absence of a universally agreed definitions, authors must clearly describe their criteria and approach to the measurement of retention to allow readers to assess their relevance better.…”
Section: Discussionmentioning
confidence: 99%
“…Going forward, ORRCA2 search strategies will be optimised based on the identified literature, and text mining will be utilised in order to efficiently maintain the resource. 40 , 41 However, we recommend that in the absence of a universally agreed definitions, authors must clearly describe their criteria and approach to the measurement of retention to allow readers to assess their relevance better.…”
Section: Discussionmentioning
confidence: 99%