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 Welcome To Fuelternatives?
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Fuelternatives? is focused on becoming the consumer's source for alternative fuels information.

As we grow our support network, we will create a certification program for alternative energy called the Fuelternatives? Seal of Approval(SM). When you buy a product or group of products that we have certified to work as advertised, you can know that we have checked it out and back it up!

Our real goal in doing this is to help you get through the "snake oil" in the marketplace. We know its there because those false claims decieved us as we tried to find greener solutions for auto and home products. It can take forever to try to understand what is out there and what is real. It is that perspective that we are trying to help with.

You will find a feedback option on virtually every page of our website. We want to know what we can do to help you, since you represent others who might be more hesitant to tell us what we can do better.

Overtime, we will certify more products for our marketplace. Our financial plans will be focused on advertising, bundling products for sale, and creating or connecting products that we feel might be useful. If you feel our site is helpful, we would appreciate a donation to help us grow.

Thanks in advance,

Leif Johnston
Managing Partner
Fuelternatives.com

 
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0 to 2 cheap wholesale jerseys from china recommendation wholesale jerseys usa engine cheap wholesale jerseys

The new concept of Internet applications always seem endless, but with respect to the year 2005 China suddenly came out of a large number of web 2.0 applications and CEO Wang Shuo emerged in recent years, most recently in the China Entrepreneur magazine published an article, 2011 China's Internet is destined to be the third spring, and proposed a five-year cycle theory that there will be a group of people out of business every five years or so, there will be a number of venture capital turnover in favor of the new project is completed, so that after two years of boring, 2011 will certainly be something new outbreaks have one thing may become a new main direction of the next few years the Internet company: recommendation engine watercress, Tudou and various video sharing sites, including the popular blog, are in China From 2005 began. Today's young people may have seen any two people in the past day within programs and news are completely different, everyone can find a unique set of content according to their interests, and this is the power of web 2.0. Innovative companies for 2005, the most important revolutionary thinking may be called 2.0 in 2004, Connection magazine editor in chief Chris Anderson proposed, it is more and more choices to bring the long tail phenomenon Anderson made three law, the first is to make everything can be obtained; the second is to allow these things to sell very cheap; and the third is to help me find it. The first two can be said to have done and done well, the key now is the third point, how to help users to make a choice. This is the role of the recommendation engine, according to market analysis firm Forrester statistics, those who have been recommended in the e-commerce site through commodity users, one-third of people will buy things based on these recommendations. Any advertising can not do this achievement. Therefore, the recommendation engine is not only the core of web2.0 technology, it is the ultimate form of advertising. We can imagine that when a person on the face of tens of thousands of products shopping site, how likely no one is that he is willing to buy it? The most important reason for this man go home empty handed, perhaps that he will buy the merchandise was not he found years ago, I once bought a book on Amazon, quantum mechanics is the Department of Physics graduate teaching. The results over a long period of time Amazon kept various physical textbooks recommended to me. This recommendation engine think is very thoughtful, but unfortunately it does not know I would not need this textbook of. Now Dangdang books, each book recommendation are often associated with a number of similar books popular selling these books I buy wholesale jerseys knew but did not buy, do not see a recommendation to buy because of it? What is needed is a personalized, just right, the best recommendation there is little surprise, but the traditional recommendation engine too far behind the online DVD rental providers Netflix, they have an algorithm confidential recommendation engine Cinematch, according to users of the movie Wholesale Jerseys scoring to determine what he might like the movie. This is a very good engine Netflix movie recommendation service only to paid subscribers can even be said to be a big selling point. But Netflix is ??not satisfied, it raises reward in 2006, I hope someone can recommend engine performance is increased by 10%, which is 10% of the prize is one million US dollars it a good recommendation engine fully explain how important it is, at the same time but also how difficult it is. The prize money until 2009 was only a seven-person team to get, including two AT is a company dedicated to songs recommended, its approach is to analyze the song. In Pandora's algorithm to each song has 400 kinds of different properties, hire a music expert, use 20 minutes of time to this song all the possible attributes scoring. This way each song was labeled property a set of numbers. Pandora's goal is to build a database that contains all of the songs, called the iPhone and iPod is now one of chinese wholesale jerseys the most popular applications, with the player were you can always said they liked or did not like a song, a program through the network automatically provide a variety of songs that you might like Pandora's unique in that it is entirely based on their attributes of a song and record your own preferences to determine if you like, regardless of other people like it or not. Obvious benefit is perhaps the song is not popular, but you just love. Among Pandora Pandora, and 45% buy more music, and only 1% of people buy music because Pandora reduced while another recommendation engine company, Hunch, have greater ambitions, its approach is the direct analysis of people. Hunch is not to analyze the song, movie or book any property, which analyzes each user what attributes. Do you like Pepsi or Coca-Cola? Do you like blue or black pen pen? Through a lot of statistical analysis, Hunch found that if you believe in UFO exist, then you are more likely to prefer Pepsi; if you have an MBA, you are more likely to prefer blue pen now go Hunch website, which allows you to use login Facebook or Twitter account, then it will ask you 20 look a little relationship with the movies and books are not the problem. These issues include you live in the city, the suburbs or the countryside, you will not install their own home theater speaker system, you can do 10 consecutive pull-ups, like what to eat French fries, and so on. Then based on this information, it will assure you five magazines, five television series and five books. I rarely watch TV, but it's recommended five magazines have two that I've subscribed to; it recommended five books, there is one I have ever seen. I recommend it not very interested in the other, but this is pretty good accuracy. Hunch's ambition is to give each user to create a personal preference file and e-commerce companies that will purchase entirely to its recommendation service based on personal preferences Chinese obviously need a high-performance recommendation engine, and taking into account people's preferences and Western users not necessarily the same, the recommendation engine is also bound to be with Chinese characteristics. I expect the recommendation engine in China has great development, but which also has difficulty First, is his use of labor-intensive approach to every song set attributes hire and time-consuming for many years before they became profitable. Taobao, Dangdang's hard to imagine or transactions can record their websites to a third-party company research and more importantly, the recommendation engine technology is difficult cottage, it is not just a programming problem, and must ask statisticians, artists and cooperative research engineer. The biggest difference early Internet companies is that it uses the Internet; China erupted in 2005 web 2.0 companies, the biggest difference is probably just a good idea; but now the core technology when needed. Perhaps the college dropout, and even high school students to think of it a good idea to write the program a few months, and then be able to pull on the venture capital business venture to say that the market is already listed on the era coming to an end from web 2.0 to the recommendation engine 2.0, is an Internet company from low-end to high-end one evolution.