Latest Activity

Dr. U. PRAMANATHAN posted a blog post
5 hours ago
ARUN PRASAD posted a blog post
5 hours ago
Poonam posted a blog post
5 hours ago
Kinnera Mukesh posted a discussion
5 hours ago
Nagappa Veerappa Bakkannanavar posted an event
5 hours ago
Dr. U. PRAMANATHAN posted an event

The Fr. Arrupe Central Library, St. Xavier's University, Kolkata, is organizing a Two-Day National Conference on “Bridging Knowledge, Technology, and Society through Libraries” at Fr. Albert Huart Hall (Auditorium), St. Xavier's University, Kolkata.

September 25, 2026 at 9am to September 26, 2026 at 5:30pm
6 hours ago
Prohlad Basumatary updated their profile
yesterday
Archit Srivastava updated their profile
Thursday
Pritam Dey updated their profile
Jun 9
Dr. Nilanjana Purkayastha and Kanika sharma are now friends
Jun 9
sangeeta sharma commented on MD KAIYUM SHAIKH's event 'International Conference on “Transforming Libraries through AI for a Smarter Knowledge Future” (ICTL–2026)'
Jun 8
sangeeta sharma is attending MD KAIYUM SHAIKH's event

International Conference on “Transforming Libraries through AI for a Smarter Knowledge Future” (ICTL–2026) at Kalinga University, Naya Raipur, Mode: Hybrid (Online & Offline)

June 19, 2026 at 9am to June 20, 2026 at 5pm
Jun 8
Litesh kumar sahu updated their profile
Jun 8
Dr. Pramod kumar updated their profile
Jun 8
Arun kumar Sirla updated their profile
Jun 7
A Raghuveer Kumar joined Dr. Badan Barman's group
Jun 3
AREPALLI MADHAVI posted a status
"Dear Professional Collogues,I need the APSET 2026 question paper along with the answer key.Thanking you"
Jun 2
Arun Thilak S updated their profile
Jun 2
Rohit Kumar updated their profile
May 28
Konala Sangeeth shared a profile on Facebook
May 27
Q.1 :- There are a total of 50 relevant document in a collection. In response to a query,only 30 document are retrieved, of these ,only 10 were relevant.What is the recall percentage.
Ans:-
A} 20%
B} 33%
C} 40%
D} 60%

Ans :- B} 33%

Dear lis professionals,
Can anyone tell me how to get this answer?
Is their any method?

Views: 890

Reply to This

Replies to This Forum

hello Sangeeta,

Let me give a try

Formula is Recall = Number of relevant result retrieve / Number of non-retrieve document + Number of relevant result retrieve

so, Number of relevant result retrieve=10,

     Number of non-retrieve documents=20 (50-30=20)

Recall=10/20+10

         =10/30

         = 0.33

         =0.33*100=33% (i.e. 33/100=0.33)

This is wat i think according to the formula, if it is wrong let me know.

Sori, the last line " =0.33*100=33% (i.e. 33/100=0.33)" should be =0.33 =33% (i.e. 33/100=0.33).

10*100/30=33.33%

Dear Vishal Sharma 

Can you please explain in details?

Very Good Question asked, with regards to upcoming pattern of the UGC NET June 2012.   Recall percentage is the percentage of documents retrieved which were of actually requested or relevant documents with reference to the query.

To find out the Recall % = Total no. of relevant documents delivered / Total no. of documents deliverd * 100

  i:e   10/30*100 = 33.33 %

When searching in google we don't know the total relevant documents uploaded on the net ..... so the recall % is found out by this formula only.

Dear Harmanpreet,

Can you also please give the formula for precision?

Lot of thanks for your opinion.

welcome ma'am

According to me: Recall is intersection of relevant documents and retrieved documents divided by relevant documents in the system:

thus the intersection gives only 10 out of 50 relevant documents. 1/5*100

Which is 20%. To get 33%, the question should say 30 relevant documents from a total collection.

\mbox{recall}=\frac{|\{\mbox{relevant documents}\}\cap\{\mbox{retrieved documents}\}|}{|\{\mbox{relevant documents}\}|}
formula taken from wikipedia.

Thank you for your efforts sir.

I ll check it. n inform you.

mam if u got the recall value for your questions plz tell me the correct answer and also the method.thanks

RSS

© 2026   Created by Dr. Badan Barman.   Powered by

Badges  |  Report an Issue  |  Terms of Service

LIS Links whatsApp