Search Engines Information Retrieval in Practice

giovanna-bartolotta
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Search Engines Information Retrieval in Practice All slides Addison Wesley, 2008 TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AA Processing Text Converting documents to index terms Why? Matching the

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01
Search Engines Information Retrieval in Practice All slides ©Addison Wesley, 2008 TexPoint fonts used in EMF.
Read the TexPoint manual before you delete this box.: AA<br>
02
Processing Text Converting documents to index terms
Why?
Matching the exact string of characters typed by the user is too restrictive
i.e., it doesn’t work very well in terms of effectiveness
Not all words are of equal value in a search
Sometimes not clear where words begin and end
Not even clear what a word is in some languages
e.g., Chinese, Korean<br>
03
Text Statistics Huge variety of words used in text but
Many statistical characteristics of word occurrences are predictable
e.g., distribution of word counts
Retrieval models and ranking algorithms depend heavily on statistical properties of words
e.g., important words occur often in documents but are not high frequency in collection<br>