Information Retrieval Architecture and Algorithms by Gerald Kowalski

Information Retrieval Architecture and Algorithms by Gerald Kowalski

Author:Gerald Kowalski
Language: eng
Format: epub
Publisher: Springer US, Boston, MA


4.6 Exercises

1.What is the goal of the “index” that is created for documents. What is the impact if it is not sufficient exhaustive. What is the impact of high specificity.

2.Discuss the advantages and disadvantages of using a statistical vector approach, a natural language approach and a concept indexing approach to creating the index. Where are the limits for each technique in finding query results.

3. a.Given the following Weighted term Document matrix, calculate the new document vectors using Normalized TF (using maximum value per row), Inverse Document Frequency, and Signal Show how you came up with the weights for the different algorithms for each term (T1–T6). T1

T2

T3

T4

T5

T6



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