Question: Information Retrieval Compute the vector space similarity between the query digital cameras and the document digital cameras and video cameras by filling out the empty

Information Retrieval

Information Retrieval Compute the vector space similarity between the query "digital cameras"

Compute the vector space similarity between the query "digital cameras" and the document "digital cameras and video cameras" by filling out the empty columns in Table 6.1. Assume N = 10,000,000, logarithmic term weighting (wf columns) for query and document, idf weighting for the query only and cosine normalization for the document only. Treat and as a stop word. Enter term counts in the tf columns. What is the final similarity score? (Please provide the details of the calculation.) (15 points) Query Document Word | tf | wf | df | idf | qi =wf-idf | tf | wf | d. =normalized wf 10,000 100,000 50,000 video cameras

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