Maurice Tutor

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About Maurice Tutor

Levels Tought:
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Expertise:
Algebra,Applied Sciences See all
Algebra,Applied Sciences,Biology,Calculus,Chemistry,Economics,English,Essay writing,Geography,Geology,Health & Medical,Physics,Science Hide all
Teaching Since: May 2017
Last Sign in: 398 Weeks Ago, 2 Days Ago
Questions Answered: 66690
Tutorials Posted: 66688

Education

  • MCS,PHD
    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

Experience

  • Professor
    Phoniex University
    Oct-2001 - Nov-2016

Category > Computer Science Posted 15 Sep 2017 My Price 8.00

Doc ID Document text

Suppose we have a collection that consists of the four documents given in the below table:

 

 

Doc ID

 

 

Document text

 

 

1

 

 

Click go the shears boy click click click

 

 

2

 

 

click click

 

 

3

 

 

Metal here

 

 

4

 

 

Metal shears click here

 

 

 

 

 

a. Build q query likelihood LM for this document collection. Assume a mixture model between the documents and the collection with both weighted 0.5. MLE is used to estimate both as unigram models. Work out the model probabilities of the queries.

 

 

“click”, “shears”, and hence “click shears” for each document. Fill in these probabilities in the below table:

 

 

Query

 

 

Doc 1

 

 

Doc 2

 

 

Doc 3

 

 

Doc 4

 

 

Click

 

 

       

Shears

 

 

       

Click shears

 

 

       

 

 

 

b. What is the final scores and ranking of the documents for the query “click shears”?

Answers

(5)
Status NEW Posted 15 Sep 2017 10:09 PM My Price 8.00

Hel-----------lo -----------Sir-----------/Ma-----------dam-----------Tha-----------nk -----------You----------- fo-----------r u-----------sin-----------g o-----------ur -----------web-----------sit-----------e a-----------nd -----------and----------- ac-----------qui-----------sit-----------ion----------- of----------- my----------- po-----------ste-----------d s-----------olu-----------tio-----------n.P-----------lea-----------se -----------pin-----------g m-----------e o-----------n c-----------hat----------- I -----------am -----------onl-----------ine----------- or----------- in-----------box----------- me----------- a -----------mes-----------sag-----------e I----------- wi-----------ll

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