Latent Semantic Indexing
Latent Semantic Indexing: "LATENT SEMANTIC INDEXING
Taking a Holistic View
Regular keyword searches approach a document collection with a kind of accountant mentality: a document contains a given word or it doesn't, with no middle ground. We create a result set by looking through each document in turn for certain keywords and phrases, tossing aside any documents that don't contain them, and ordering the rest based on some ranking system. Each document stands alone in judgement before the search algorithm - there is no interdependence of any kind between documents, which are evaluated solely on their contents.
Latent semantic indexing adds an important step to the document indexing process. In addition to recording which keywords a document contains, the method examines the document collection as a whole, to see which other documents contain some of those same words. LSI considers documents that have many words in common to be semantically close, and ones with few words in common to be semantically distant. This simple method correlates surprisingly well with how a human being, looking at content, might classify a document collection. Although the LSI algorithm doesn't understand anything about what the words mean, the patterns it notices can make it seem astonishingly intelligent."
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How to deal with Google's latest search engine algorithm: "What is latent semantic indexing?
LSI means that a search engine tries to associate certain terms with concepts when indexing web pages. For example, Paris and Hilton are associated with a woman instead of a city and a hotel, Tiger and Woods are associated with golf.
Google has been using this concept to determine suitable ads for its AdSense service for some time now. It seems that Google is now also using this concept to improve the quality of its search results.
If you search for a keyword on Google and add a tilde ~ before the search term, then you get an idea of what Google thinks about a search term.
For example, if you do a semantic search for phone, Google returns Nokia as the first result. A normal search for phone returns different results. Adding a tilde to the search term seems to instruct Google to do a semantic search."
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How to deal with Google's latest search engine algorithm: "Where can I find further information about LSI?
If you're interested in the theories behind this concept, the following pages can give you detailed information:
http://javelina.cet.middlebury.edu/lsa/out/lsa_definition.htm
http://lsi.research.telcordia.com/
http://research.microsoft.com/users/marycz/ht98.htm
http://www.cs.utk.edu/~lsi/papers/index.html
Latent semantic indexing helps search engines to find out what a web page is all about. It basically means to you that you shouldn't focus on a single keyword when optimizing your web pages and when getting links.
The web pages on your web site should be related and focus mainly on a special topic while using different words that describe the topic. Use variations of your keyword and synonyms. That makes it easier for search engines to determine the topic of your site."
Taking a Holistic View
Regular keyword searches approach a document collection with a kind of accountant mentality: a document contains a given word or it doesn't, with no middle ground. We create a result set by looking through each document in turn for certain keywords and phrases, tossing aside any documents that don't contain them, and ordering the rest based on some ranking system. Each document stands alone in judgement before the search algorithm - there is no interdependence of any kind between documents, which are evaluated solely on their contents.
Latent semantic indexing adds an important step to the document indexing process. In addition to recording which keywords a document contains, the method examines the document collection as a whole, to see which other documents contain some of those same words. LSI considers documents that have many words in common to be semantically close, and ones with few words in common to be semantically distant. This simple method correlates surprisingly well with how a human being, looking at content, might classify a document collection. Although the LSI algorithm doesn't understand anything about what the words mean, the patterns it notices can make it seem astonishingly intelligent."
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
How to deal with Google's latest search engine algorithm: "What is latent semantic indexing?
LSI means that a search engine tries to associate certain terms with concepts when indexing web pages. For example, Paris and Hilton are associated with a woman instead of a city and a hotel, Tiger and Woods are associated with golf.
Google has been using this concept to determine suitable ads for its AdSense service for some time now. It seems that Google is now also using this concept to improve the quality of its search results.
If you search for a keyword on Google and add a tilde ~ before the search term, then you get an idea of what Google thinks about a search term.
For example, if you do a semantic search for phone, Google returns Nokia as the first result. A normal search for phone returns different results. Adding a tilde to the search term seems to instruct Google to do a semantic search."
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
How to deal with Google's latest search engine algorithm: "Where can I find further information about LSI?
If you're interested in the theories behind this concept, the following pages can give you detailed information:
http://javelina.cet.middlebury.edu/lsa/out/lsa_definition.htm
http://lsi.research.telcordia.com/
http://research.microsoft.com/users/marycz/ht98.htm
http://www.cs.utk.edu/~lsi/papers/index.html
Latent semantic indexing helps search engines to find out what a web page is all about. It basically means to you that you shouldn't focus on a single keyword when optimizing your web pages and when getting links.
The web pages on your web site should be related and focus mainly on a special topic while using different words that describe the topic. Use variations of your keyword and synonyms. That makes it easier for search engines to determine the topic of your site."
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