Latent semantic optimization
The latent semantic optimization (often abbreviated to LSO) is the optimization of content of texts and websites in general, making the search engine optimization (SEO) is not dissimilar.
In an LSO , the text of the content of a website is designed in such a way that words are used that are generally also mentioned on other websites in connection with the topic of this website.
The purpose of this optimization is to achieve better positions in the organic search results of search engines. However, it has not yet been publicly confirmed that the leading search engines are using such algorithms. The latent semantic indexing method is often cited as an example , but this assumption has neither been confirmed nor does it seem probable from a scientific perspective.
The fundamental problem is that the algorithm has the entire database in the index of a search engine as a basis. As an outsider, it is not possible to assess which terms actually have a positive influence on one another in terms of latent semantic indexing.
Nevertheless, it is advisable to use different formulations and related facts in a text, provided that they fit thematically and are useful for the reader. Even if this does not result in an improvement in the ranking, the probability increases that the text will become more relevant for related search queries and that further visitors can be won over.
Individual evidence
- ↑ Dr. E. Garcia: SVD and LSI Tutorial 1: Understanding SVD and LSI http://www.miislita.com/information-retrieval-tutorial/svd-lsi-tutorial-1-understanding.html (link not available)