Want To Start A Business

It is an automatic software application that can return 30% more effective relevancy to text based databases than the current standard search word matching techniques used by search engines. Latent Semantic Indexing (LSI) uses a patented concept of retrieval which overcomes most of the problems currently associated with the more popular word based retrieval systems.

And if you have ever used a search engine search box you will know what I mean, while this system is popular they are far from perfect. Current retrieval match words contained within text or documents in a database. LSI is particularly beneficial when large amounts of data are to be processed and where information needs to be retrieved in multiple languages and translation needed.

Do you know what you are missing, in other words? There is also the question of retrieval failure whereby only 20% of the relevant information available is returned. And on average 50% of the information that is returned will be irrelevant to the end user, the main problem lies in the lack of precision.

And a searcher such as yourselves use another then you are quite likely to not get all the relevant information available, if a writer such as I use one word to describe a particular thing, on non-LSI models. The main reason for this missing information lies in the fact that there are many ways to describe the same idea or concept.

Authors and searchers alike find it increasingly difficult to anticipate the many ways in which a concept can be described. Yet the searcher looks for 'notebook' or 'portable computer' it will be more likely to be missing from the search results for that elusive 'laptop' keyword, an example of this would be if i were to use the word 'laptop'.

And that queries about one should probably retrieve documents about the other, lSI will learn that "laptop" and "portable" occur in many of the same contexts. LSI uses a very powerful and fully automatic way of statistically associating words of description to one another. LSI on the other hand enables the user to find relevant information even if the search query shares no words in common.

Advertisements etc, multimedia information. e.g. In addition LSI is unique in it's application to improving information whenever the retrieval rate necessary is high. Email messages or WWW urls all with equal ease, marketing brochures, 1995) LSI can handle many differing types of text based applications such as multimedia descriptions, dumais, 1990; . Deerwester et al, . (e.g. LSI is 30% more effective than the current word matching methods used in retrieving relevant information to the user.

i.e you and me. It's search results can only improve on the relevancy to it's clients, no wonder the likes of Google are now heading in the LSI direction. Because LSI does not rely on direct word matching it finds more relevant information at a breeze.even in differing languages without any necessary changes to existing algorithms.