Assignment

You are provided with 100 documents, 5 queries, and binary relevance judgments for each query. Using this data, complete the Python program (vsm_search.py) to build a Vector Space Model (VSM) search engine and evaluate its performance.

Requirements:

• Represent documents and queries using TfidfVectorizer (remove stopwords only).
• For each query, score and rank all documents using cosine similarity.
• Using the relevance judgments, compute Average Precision (AP) for each query.
• Sort the queries in descending order of their AP values and report the ranking.