2020
DOI: 10.1016/j.cmpb.2020.105415
|View full text |Cite
|
Sign up to set email alerts
|

A relevance and quality-based ranking algorithm applied to evidence-based medicine

Abstract: a b s t r a c tBackground: The amount of information available about millions of different subjects is growing every day. This has led to the birth of new search tools specialized in different domains, because classical information retrieval models have trouble dealing with the special characteristics of some of these domains. Evidence-based Medicine is a case of a complex domain where classical information retrieval models can help search engines retrieve documents by considering the presence or absence of te… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
4
1

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 31 publications
0
3
0
Order By: Relevance
“…Many ranking algorithms for recommending products, 12,13 opinions, 60 or even bibliography 61 have been recently developed. Particularly, the field of product ranking using online reviews has been broadly studied, especially from the perspective of information fusion.…”
Section: Discussionmentioning
confidence: 99%
“…Many ranking algorithms for recommending products, 12,13 opinions, 60 or even bibliography 61 have been recently developed. Particularly, the field of product ranking using online reviews has been broadly studied, especially from the perspective of information fusion.…”
Section: Discussionmentioning
confidence: 99%
“…It might also be interesting to introduce more flexible and intuitive mechanisms, for example based on Fuzzy Logic, to determine the weights of the user preferences, instead of using numerical values. And it is also necessary to study the application of the ranking mechanisms developed in other areas such as athlete performance assessment [40] or document ranking [41].…”
Section: Discussionmentioning
confidence: 99%
“…Relevance is defined in [27,28] as the level of usefulness, quality, and value of the retrieved information to satisfy the user's needs. Relevance can be represented by a scalar and measures the degree of agreement of different criteria (match, meaning, and frequency of occurrence of the terms) between the entered query and the document collection.…”
Section: Introductionmentioning
confidence: 99%