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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
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”?
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