Another method is to look at the current pages that rank well. A block on a page that contains much more text than HTML code contains probably the main content on the page. We can conclude that the number of times you use a term is not necessarily important.

We create custom software that meets the needs of your people & processes. Types are the unique tokens in a text. Many companies do competitor analysis when they develop a digital marketing strategy and never get back to it later. We deliver bespoke software applications & technology solutions to complex problems, creating value and efficiency for ambitious organisations. Miracle Inameti-Archibong At the end of this article we haven’t revealed Google’s algorithm (unfortunately), but we’ll be one step closer to understand some advice we often give as an SEO.


edited 2011-12-07T21:25:29-08:00 For example if you know that Google assigns more weight to content within the tag and less to content in the
tag, you’ll never use the
tag. If you do not take proper SEO precautions it can result to be highly unsatisfactory, but when done right, the process should be mostly painless. But then again, I'm not sure what you're trying to say :)The 10 most valuable pieces of content we can find for SEOs. So stop words have been dead for the last 35 years now, not since 2008. You can calculate idf by dividing the total number of documents you have in your corpus by the number of documents containing the term and then take the logarithm of that quotient. This article isn’t just about those formulas.
The structure and tags are much more limited, which makes the analysis more difficult.

In this article I will elaborate on the problems of a search engine and optional solutions.

For those who are interested to know more, I recommend a book titled "A good read, having trouble with Excel file, has name ref in cells B2 B3 B4Weird, what version/metrics are you using? An example of how we can use this data for adjusting the query term weights is The table below is a visual representation of this formula. You can read more about how to think about that in In addition, make sure the content on those pages in consistent with the title tag and create strong content to support it.Search engines also try to determine how important each of the pages relevant to a particular search query are. In the mean time I'm waiting for something to happen that really changes the search results by including social media more so in the algorith. Pages with a very high bounce rate will just be irrelevant. Where is the best page placement? We can then work out the differences between q(0,3) and d1(3,1) to calculate the hypotenuse - 3.6 in this case - and the same between q and d2 - which is 2.2. d2 is therefore closest, and could be considered as most relevant, to the query.The clever bit is this doesn't just work in two dimensions, but multiple dimensions, indeed as many dimensions as there are words (and it works much better when there are lots of dimensions).Thats the basics, it then gets more complex as dimensions are warped, dropped and added by modifiers such as idf to discriminate common words.Its Interesting Article.

Why?If a searcher doesn’t like the first and second results, and the third result says basically the same thing, they aren’t going to want to see the same stuff yet a third time. Every 2 weeks. If you're looking for bitterballen and croquettes, and the best ranking pages are all snack bars in Amsterdam, the danger is that you will assign value to Amsterdam and end up with just snack bars in Amsterdam in the results. This was partly because of crawling technology not being very advanced, but also because crawling and indexing files other than plain text and images required a lot of resources that the search engines simply did not have or could not afford at the time.Because of the improvement in their resources and technology, coupled with the introduction of high speed internet connections, web pages have become far richer in the types of content they can provide. As the number of documents in which a term grows, idf will shrink. Here's a layman's level explanation of the basics of search engines – including the critical concepts of relevance, popularity, segmentation, diversity, trust, and quality. A good search engine does not attempt to return the pages that best match the input query.

Love your explanation there - using the analagy of a takeaway - must admit I started to glaze over the first time I saw the algebra however it wasn't as bad the second time round!Thanks for the explanation about wordfrequencies and weighting the different parts of a page! I hope it helps to understand some of the problems a searchengine faces. To do this, a search engine uses a program that can be referred to as a ‘crawler’, ‘bot’ or ‘spider’ (each search engine has its own type) which follows an algorithmic process to determine which sites to crawl and how often. If people naturally link to it or share it on social media, then this is a strong indicator to you that you published something of good or better quality.You can have a site that is relevant and authoritative, but there are valid reasons to not trust their motives.For example, if a website regularly uses practices in violation of a search engine’s guidelines for behavior, such as selling links from their website, the search engine may choose to demote the ranking of the pages on that site.Have others review your site and ask them how they feel about the site.