Implementing probabilistic retrieval model

Objectives:

• Implementing probabilistic retrieval model.

Tasks

Download the folder HW04 from Blackboard. The folder contains the following:

1. documents: contains the text files.

2. file label: contains file relevance labeling, it has the following format: [file name, rel] where

rel ∈ {0, 1}

3. query: a file contains the query.

Write a python code that implements the binary independence model(slides 28,29,30). Your code should

display the top 10 documents with high RSV. Your output should look like.

RSV{ fil e n am e 1 } = 22.9 f i l e l a b e l

RSV{ fil e n am e 2 } = 14 f i l e l a b e l

RSV{ fil e n am e 3 } = 12 f i l e l a b e l

RSV{ fil e n am e 4 } = 10.9 f i l e l a b e l

RSV{ fil e n am e 5 } = 9 f i l e l a b e l

RSV{ fil e n am e 6 } = 4 f i l e l a b e l

Submit it by "December 2nd Afternoon"

Python

ID Projek: #32242012

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