Choosing the most popular subjects that you can write about in your blog

Having the ability to write articles that people are actually want to know about is an interesting preposition for many bloggers. If you have a product reviews blog, being the first one to write about a trend or upcoming products will help you stay ahead of the pack.

Writing popular subjects can bring a considerable amount of traffic when the search engine starts indexing your posts.

I can’t tell you really how to decide what a good subject but the following links might inspire you.

  • Top 20 Shopping Searches
    On the left of that page you’ll see a list of the top 20 shopping searches. They should all be good for sites
  • Google Zeitgeist
    Search trends at Google in various category showing a cumulative snapshot of interesting queries people are asking – some over time, some within country domains, and some on Google.com.
  • Keyword Selector Tool
    Now can begin to see what people are actually searching for… not what you "think" they’re searching for.
  • Yahoo! Buzz
    Daily updated popular searches from Yahoo! search log files. Also the weekly Top 20 searches on Yahoo, including archives. Subjects range from TV, Sports to Video Games and more.
  • AOL Hot Searches
    Like Yahoo! Buzz, this page is updated daily showing the top current queries or see those in the last hour, last day and within particular categories.
  • Lycos 50
    Long-standing service showing top searches at Lycos each week.

There you have it! However, bear in mind that writing about popular topics could bring in heavy competition from other blogs and websites. But the sooner you write about a popular subject, the better your chance of securing good positions in the search engine for those subjects since it is likely that not many other bloggers have written about the subject when the trend breaks out.

A good write up will also encourage others to link to your post. The more popular topics you have the better the chance for some of the posts to be picked up by the search engines.

Just make sure not to water down your blog with posts unrelated to your niche for the sake of writing popular subjects and do not spam service like Technorati. Aim for quality and the quantity will follow.

Future of Google - 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.

When you search an LSI-indexed database, the search engine looks at similarity values it has calculated for every content word, and returns the documents that it thinks best fit the query. Because two documents may be semantically very close even if they do not share a particular keyword, LSI does not require an exact match to return useful results. Where a plain keyword search will fail if there is no exact match, LSI will often return relevant documents that don't contain the keyword at all.

To use an earlier example, let's say we use LSI to index our collection of mathematical articles. If the words n-dimensional, manifold and topology appear together in enough articles, the search algorithm will notice that the three terms are semantically close. A search for n-dimensional manifolds will therefore return a set of articles containing that phrase (the same result we would get with a regular search), but also articles that contain just the word topology. The search engine understands nothing about mathematics, but examining a sufficient number of documents teaches it that the three terms are related. It then uses that information to provide an expanded set of results with better recall than a plain keyword search.

Ignorance is Bliss

We mentioned the difficulty of teaching a computer to organize data into concepts and demonstrate understanding. One great advantage of LSI is that it is a strictly mathematical approach, with no insight into the meaning of the documents or words it analyzes. This makes it a powerful, generic technique able to index any cohesive document collection in any language. It can be used in conjunction with a regular keyword search, or in place of one, with good results.

Before we discuss the theoretical underpinnings of LSI, it's worth citing a few actual searches from some sample document collections. In each search, a red title or astrisk indicates that the document doesn't contain the search string, while a blue title or astrisk informs the viewer that the search string is present.

  • In an AP news wire database, a search for Saddam Hussein returns articles on the Gulf War, UN sanctions, the oil embargo, and documents on Iraq that do not contain the Iraqi president's name at all.
  • Looking for articles about Tiger Woods in the same database brings up many stories about the golfer, followed by articles about major golf tournaments that don't mention his name. Constraining the search to days when no articles were written about Tiger Woods still brings up stories about golf tournaments and well-known players.
  • In an image database that uses LSI indexing, a search on Normandy invasion shows images of the Bayeux tapestry - the famous tapestry depicting the Norman invasion of England in 1066, the town of Bayeux, followed by photographs of the English invasion of Normandy in 1944.

In all these cases LSI is 'smart' enough to see that Saddam Hussein is somehow closely related to Iraq and the Gulf War, that Tiger Woods plays golf, and that Bayeux has close semantic ties to invasions and England. As we will see in our exposition, all of these apparently intelligent connections are artifacts of word use patterns that already exist in our document collection.

Source : www.hirank.com

The Complete List of My Make Money Online Sources : 300$ Monthly Income

I have decided to write a brief post about my 5 months progress. After a silent start I came to a point really promising for future. Already earning more than 300$ monthly by the help of several free blogger blogs (totally 11 now) and 3 top domain websites in the topics of gadgets, technology and design.

Here is the list

1) Sponsoredreviews.com
This became my #1 money source after I joined them. Registered all my blogs and sites there and I get at least 5 posts a week totaling in average of 60$ weekly, 240$ monthly. Everyday appear new advertisers and it is not so hard to grab them if you give a considarable fair price.

Actually there are other pay per post sites like Blogsvertise, Smorty , Loudlaunch, ReviewMe , PayPerPost but I am on the approval queue for most of them or didn't get any offers yet from them. I am sure the future will bring more money income after getting blog approvals.
I suggest you to apply for all.

2) Google Adsense
After filtering very low paying advertisers and making more unique content to my blogs I had an increase in earnings. On average daily I get 2$ totalling 60$ in a month. Actually it could be easily doubled if I had more effectively used social networks like reddit, digg and stumbleupon. Especially stumbleupon can bring a big wave of traffic according to my experience.

3) Chitika and Widgetbucks

One of my gadget blogs run Chitika and I am very happy with them. It brings almost 20$ in a month eventhough it is not optimezed at all. After optimizations that I will make this week I expect to earn like adsense.

Widgetbucks is also nice for untargetted traffic because these people will not be aware of it is an advertisement and will likely to click. Their gadget category brings 0.1$ for a click and totally I make around 10$ a month which is not bad at all.

Ads-click.com is a very promising advertisement company and I will especially open blogs just will run their ads. Currently I don't run much but experimentally it brings 5$ a month with very low traffic. High PPC earnings.

4) Thenewsroom, Shareapic , Linkgrand and others

They bring silently 5$ a month and I do not advertise them at all.

5) Textlinkads, Bidvertiser, Auctionads, Linkworth

They didn't work me nicely, but you can consider checking them.

6) cj.com, amazon.com affiliates

I have earned only 60$ in 5 months through selling commissions eventhough much advertised them. It doesn't seem to be very promising.

I will more wildly opening sites and blogs at the same time stabilizing the older ones. If you use forums wisely you will have always traffic and it means money.

Currently I develop applications for facebook for free traffic too

My aim is to earn at least 3000$ monthly using internet in next one year and if work better and wisely I will reach this aim and leave my day time job completely. :)
 
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