Spider Food (Feeding the Search Engines)

A website needs good, fresh content to keep the search engines happy. If the SE is happy you will have lots of visitors. It is a win/win situation.

If you plan on having a web page which you want many people to visit, or if you are interested in knowing just how your keyword searches turn up the results that they do, then you will want to know a little more about latent semantic indexing and just how it works.

Latent semantic indexing is a technique that projects queries and documents into space with latent semantic dimensions. In the latent semantic space, a query and a document are similar even if they don't share any of the same terms if their terms are semantically similar.

LSI is similarly metric to word overlap measures. LSI has fewer dimensions than the original space and is a method for dimensionality reduction.

There are several different mappings for latent semantic indexing from high dimensional to low dimensional spaces. LSI chooses the optimal mapping in a sense that minimizes the distance.

Choosing the number of dimensions is a unique problem. A reduction can remove much of the noise while keeping too few dimensions may lose important information.

LSI performance is improved considerably after ten to twenty dimensions and peaks at seventy to one hundred dimensions. Then it slowly begins to diminish again. There is a pattern of performance that is observed with other datasets as well.

Latent semantic indexing is a creation gives us a better gauge of the content of a web page to discover the overall theme.

It is a more sophisticated measure of what sites and their pages are all about. Webmasters don't necessarily need to redo all of their web pages keywords, but it does optimize efforts and it does mean depth needs to be a greater consideration.

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Submitting your articles to directories is one of the best ways to send traffic to your website. More importantly, many websites accept submissions for free!

The Benefits of Submitting Articles to Directories

There is really one main benefit that you could benefit from submitting articles to directories and that's exposure. Later on, exposure can be converted to traffic.

If you're a new website, you can gain initial exposure with the help of article directories. Submissions place you on your target market's radar. It's one of the best ways to let people know about the newest kid on the block. For older websites, submissions to article directories let you maintain or even improve traffic coming to your website.

When you submit works to an article directory, you get the opportunity to showcase your knowledge and expertise, build your credibility, and all in all, engage the interest of readers, enough to convince them to drop by your website.

A Step-by-Step Guide to Submitting Your Works to Article Directories

Step 1 - Create your article. Make sure that it contains the targeted keywords and key phrases not only in the article's body but its titles and sub-headers as well. These will make it easier for both search engine spiders and article directories to accurately index your articles. Visitors to your website will find the articles they're looking for in your website more easily. If you cannot write articles yourself, consider obtaining quality private label articles from PlContentClub.com - a website that provides 300 fresh articles every month.

Step 2 - Prepare the following information before submitting any of your works to article directories: URL of your website, the title of your article, a brief description about it, and of course, the keywords matching your article.

Take as much time as you want when writing the article description. This is another item that article directory editors will use to index your site. It is also what many readers will use as basis for deciding whether your article warrants their time or not.

Lastly, make sure you use the same set of information for each article, regardless of which directory you submit it to.

Step 3 - Choose the right article directories to submit to. Some article directories accept works from all topic categories while others focus on specialized subjects. If you're going to take advantage of free submissions, be aware that it will take anywhere between one to six months - maybe even more - before you can see your submission posted. Paid submissions, however, get uploaded in days. Lastly, make sure you submit your articles to the right categories.

Step 4 - Keep a log book of the dates and directory names whenever you submit your work. This will prevent you from making multiple submissions - and risk getting blacklisted by article directories - and help you monitor your submissions.

Step 5 - Be patient while waiting for your submissions to get uploaded. Once they've been posted, remember to tick them off in your log book. Don't send article directory management teams emails pestering them about when your submissions would get posted. They'll reach that in their own good time.

Step 6 - Always get feedback from people who visit your website and avail of any of your products and services. Your feedback form should include the appropriate questions to let you know these people learned about your site. If they indicate a work you've submitted to a particular article directory, take note of it and submit more works to the said directory in the future. Take note of the set of information you've used for the specified article and see if there's anything about it you can apply to your other works.

Latent semantic indexing, by definition, is a mathematical or statistical technique for extracting and representing the similarity of meaning of words and passages by analysis of large bodies of text.

The definition may be a little difficult to understand, but basically latent semantic indexing takes the keywords you put into your search engine and go through each and every web page searching out the best results for the key words you are seeking.

There are several different mappings for latent semantic indexing from high dimensional to low dimensional spaces.

LSI chooses the optimal mapping in a sense that minimizes the distance. Choosing the number of dimensions is a unique problem. A reduction can remove much of the noise while keeping too few dimensions may lose important information.

LSI performance is improved considerably after ten to twenty dimensions and peaks at seventy to one hundred dimensions. Then it slowly begins to diminish again. There is a pattern of performance that is observed with other datasets as well.

Latent semantic indexing considers pages that have many words in common and close in meaning, sorts them out, and presents them to the seeker.

The result is an LSI indexed database with similarity and values that are calculated for every content word and phrase. In response to a query, the LSI database returns the pages it sees fit best to the keywords.

The algorithm doesn't understand anything about what the words mean and does not require an exact match to return results that are useful to the seeker.