My College teacher taught a different formula. I am confused. The formula my teacher took is Damping factor× M × r⁰(which is assumed [1 1 1] + 1 - damp factor × 1/n( which is matrix[ 1/3 1/3 1/3] Which is correct, Please help
It's just a normal matrix multiplication like how you do in mathematics! To get the first element of resultant matrix = (Consider first row of first matrix and first column of second matrix) First element of first matrix multiplies by first element of second matrix + second element of first matrix multiplies by second element of second matrix + third element of first matrix multiplies by third element of second matrix To get second element of resultant matrix = (Consider second row of first matrix and first column of second matrix) First element of first matrix multiplies by first element of second matrix + second element of first matrix multiplies by second element of second matrix + third element of first matrix multiplies by third element of second matrix To get third element of resultant matrix = (Consider third row of first matrix and first column of second matrix) First element of first matrix multiplies by first element of second matrix + second element of first matrix multiplies by second element of second matrix + third element of first matrix multiplies by third element of second matrix I hope you understand the logic If not then watch any video to multiply two matrices or ask chatgpt to explain the process! Please share it with your friends ♥️😁
Heyy! Thankyou for watching the video😁 The number of iterations to do depends on the marks. If the question is for 4/6 marks, by default do it till 3 iterations. If the question is asked for 8/10 marks then do it till 6 iterations! 😊 Hope it helps! Please do a favour by sharing it with your friends ❤️
The number of iterations will be specified in the question, if it's not specified then look at the marks for which the question is asked, but atleast you should do 3 iterations✌🏻 Please Share this video with your friends and best wishes for your exams💕😊
Your every video are so perfect, you are a life saver man, keep it up bro ✨
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this video was saviour! very well explained and highly recommended. after this it was easy to code in java. Keep up the good work
I am really happy that you find it great 😊 Thanks a lot for watching, I would request you to share it✨
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I love the video but please could you mention in comment the correct calculations as I am studying for exam and your video is on point
Your explanation is very nice and ur voice is sweet🙂
It is so pleasant to listen and understand 😇
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Actually one of my friends shared this video with me😄
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Bro is here to save us all! Thanks man❤️
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Great video! By any chance do you know why university questions of pagerank algorithm give teleport factor (It has values like 0.8, 0.5 etc)?
Very good thank you
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If nothing about damping factor is not mentioned in the question paper, do we calculate page rank using this technique?
My College teacher taught a different formula. I am confused.
The formula my teacher took is
Damping factor× M × r⁰(which is assumed [1 1 1] + 1 - damp factor × 1/n( which is matrix[ 1/3 1/3 1/3]
Which is correct, Please help
there is calculation mistake at 10:58. last record in ro should be 4/9. i checked on calculator twice
Initially ro has all the values same 1/3
Great Video, what about Alpha , I don't see it been used
Thankyou🙏 btw which alpha are you talking about? Please elaborate on it.
Great
Thankyou 😄
Thank you
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How you are doing matrix Multiplication??
It's just a normal matrix multiplication like how you do in mathematics!
To get the first element of resultant matrix = (Consider first row of first matrix and first column of second matrix)
First element of first matrix multiplies by first element of second matrix + second element of first matrix multiplies by second element of second matrix + third element of first matrix multiplies by third element of second matrix
To get second element of resultant matrix = (Consider second row of first matrix and first column of second matrix)
First element of first matrix multiplies by first element of second matrix + second element of first matrix multiplies by second element of second matrix + third element of first matrix multiplies by third element of second matrix
To get third element of resultant matrix = (Consider third row of first matrix and first column of second matrix)
First element of first matrix multiplies by first element of second matrix + second element of first matrix multiplies by second element of second matrix + third element of first matrix multiplies by third element of second matrix
I hope you understand the logic
If not then watch any video to multiply two matrices or ask chatgpt to explain the process!
Please share it with your friends ♥️😁
How many iterations do we have to do for this qns.. is it enough to do 2 iterations
Heyy! Thankyou for watching the video😁 The number of iterations to do depends on the marks. If the question is for 4/6 marks, by default do it till 3 iterations. If the question is asked for 8/10 marks then do it till 6 iterations! 😊 Hope it helps! Please do a favour by sharing it with your friends ❤️
@@ataglanceofficial Hm ok sir
Wow
Thankyou ❤️ Please Share 😊
In iteration 1 :
how the value are calculated of r1?
Please watch the video I have explained step by step how to calculate r1 value..
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Thanks a lot!
You are always welcome 🤗
Please share it with your friends 😉
Self links (self loop) from a page to itself are ignored , they aren't used for calculating page ranks
I have seen stanford university ppt it is actually calculated
sir, when to stop the iteration sir??
The number of iterations will be specified in the question, if it's not specified then look at the marks for which the question is asked, but atleast you should do 3 iterations✌🏻 Please Share this video with your friends and best wishes for your exams💕😊
👌👌
Thankyou 😄
you did wrong at 11:44 it is 64/108
Heyy! All values are correct! Please check your calculations again. You might have committed a mistake!
First I also got 64 then I looked properly
That's great that you figured out what's wrong in your calculations 🙌🏻