Task $3.$ Based on the knowledge you gained from this unit, design a pseudo$-$relevance model

$($My$\_$PRM$)$ to rank documents in each data collection using the corresponding topic $($query$)$ for

all $50$ data collections.

Inputs: $50$ long queries $($topics$)$ in the$50$Queries.txt and the corresponding $50$ data collections

$($Data$\_$C$101,$ Data$\_$C$102,...,$ Data$\_$C$150).$

Output: $50$ ranked document files $($e$.$g$.,$ for Query R$107,$ the output file name is

$$My$\_$PRM$\_$R$107$Ranking.dat$)$ for all $50$ data collections and save them in the folder

$$RankingOutputs$.$

Formally describe your design for My$\_$PRM in an algorithm to rank documents in each data

collection using corresponding query $($topic$)$ for all $50$ data collections. Your approach should

be generic that means it is feasible to be used for other topics $($queries$).$ You also need to

discuss the differences between My$\_$PRM and the other two models $($BM$25$ and JM$\_$LM$).$