Evaluation measures (information retrieval)

tr

WikiRank.net
ver. 1.6.2

Evaluation measures (information retrieval)

Quality:

Evaluation measures - assess how well the search results satisfied the user's query intent, for an information retrieval system. Article “Evaluation measures (information retrieval)” in Turkish Wikipedia has 32.9 points for quality (as of July 1, 2025). The article contains 8 references and 28 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 1.73 points.

This article has the best quality in English Wikipedia. Also, this article is the most popular in that (Turkish) language version.

Since the creation of article “Evaluation measures (information retrieval)”, its content was written by 11 registered users of Turkish Wikipedia and edited by 53 registered Wikipedia users in all languages.

The highest Authors Interest rank from 2001:

  • Local (Turkish): #277 in March 2025
  • Global: #110902 in March 2025

The highest popularity rank from 2008:

  • Local (Turkish): #147093 in March 2025
  • Global: #199320 in March 2019

There are 2 language versions for this article in the WikiRank database (of the considered 55 Wikipedia language editions).

The quality and popularity assessment was based on Wikipédia dumps from July 1, 2025 (including revision history and pageviews for previous years).

The table below shows the language versions of the article with the highest quality.

Languages with the highest quality

#LanguageQuality gradeQuality score
1English (en)
Evaluation measures (information retrieval)
43.399
2Turkish (tr)
Evaluation measures (information retrieval)
32.9115
More...

The following table shows the most popular language versions of the article.

Most popular in all the time

The most popular language versions of the article "Evaluation measures (information retrieval)" in all the time
#LanguagePopularity awardRelative popularity
1English (en)
Evaluation measures (information retrieval)
696 252
2Turkish (tr)
Evaluation measures (information retrieval)
161
More...

The following table shows the language versions of the article with the highest popularity in the last month.

Most popular in June 2025

The most popular language versions of the article "Evaluation measures (information retrieval)" in June 2025
#LanguagePopularity awardRelative popularity
1English (en)
Evaluation measures (information retrieval)
4 181
2Turkish (tr)
Evaluation measures (information retrieval)
13
More...

The following table shows the language versions of the article with the highest Authors’ Interest.

The highest AI

Language versions of the article "Evaluation measures (information retrieval)" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1English (en)
Evaluation measures (information retrieval)
42
2Turkish (tr)
Evaluation measures (information retrieval)
11
More...

The following table shows the language versions of the article with the highest Authors’ Interest in the last month.

The highest AI in June 2025

Language versions of the article "Evaluation measures (information retrieval)" with the highest AI in June 2025
#LanguageAI awardRelative AI
1English (en)
Evaluation measures (information retrieval)
0
2Turkish (tr)
Evaluation measures (information retrieval)
0
More...

The following table shows the language versions of the article with the highest number of citations.

The highest CI

Language versions of the article "Evaluation measures (information retrieval)" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1English (en)
Evaluation measures (information retrieval)
105
2Turkish (tr)
Evaluation measures (information retrieval)
0
More...

Scores

Estimated value for Wikipedia:
Turkish:
Global:
Popularity in June 2025:
Turkish:
Global:
Popularity in all years:
Turkish:
Global:
Authors in June 2025:
Turkish:
Global:
Registered authors in all years:
Turkish:
Global:
Citations:
Turkish:
Global:

Quality measures

Interwikis

#LanguageValue
enEnglish
Evaluation measures (information retrieval)
trTurkish
Evaluation measures (information retrieval)

Popularity rank trends

Best Rank Turkish:
#147093
03.2025
Global:
#199320
03.2019

AI rank trends

Best Rank Turkish:
#277
03.2025
Global:
#110902
03.2025

Local AI rank history

Languages comparison

Important global interconnections (July 2024 – June 2025)

Wikipedia readers most often find their way to information on Evaluation measures from Wikipedia articles about Mean reciprocal rank, Discounted cumulative gain, Learning to rank, Information retrieval and Precision and recall. Whereas reading the article about Evaluation measures people most often go to Wikipedia articles on Mean reciprocal rank, Precision and recall, Discounted cumulative gain, Learning to rank and Information retrieval.

Cumulative results of quality and popularity of the Wikipedia article

List of Wikipedia articles in different languages (starting with the most popular):

News from 21 February 2026

On 21 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Alysa Liu, Eric Dane, 2026 Winter Olympics, Rebecca Gayheart, Johannes Høsflot Klæbo, Wuthering Heights, amyotrophic lateral sclerosis, Andrew Mountbatten-Windsor, John F. Kennedy Jr..

In Turkish Wikipedia the most popular articles on that day were: Abdest, Yeraltı (dizi, 2026), Masumiyet Müzesi, Sevdiğim Sensin, Helin Kandemir, Orhan Pamuk, Kübra Güran Yiğitbaşı, Fırat Çakıroğlu cinayeti, Nüfusuna göre Türkiye'nin illeri, Selahattin Paşalı.

About WikiRank

The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information