Reactive Approach

They are reactive usually see a problem as a threat. Whether the threat to his career, his business, his family, and so forth. In this group you find a solution to the problem by using a logical and traditional approaches. Characteristics:
Once the problem you’re likely to soon come looking for any way to overcome them.
The problem is seen as factors inhibiting the development of self.
You will soon formulate a strategy to deal with problems
Because the problem is seen as a threat, he will dominate the mind and tends to cause anxiety and stress.

If you work in a company, perhaps you’ve been asked to lead a project in which you are responsible for achieving certain targets. Here you are confronted with situations requiring analysis, justification, and logical thinking in the face of challenges or problems that arise. You will be in a depressed condition to meet the deadline. Predictably, you will tend to use a reactive approach in solving problems.

Receptive approach

This approach is usually practiced by those who have realized that the problem is not a threat but rather the consequences that arise from a condition that we create. Therefore we have the power to change these conditions from within ourselves. You are willing to accept the problem and at the same time making solusinya. Characteristics:

When trouble comes, you recognize it and use the approach:
The problem is the opposite of the solution. When problems arise, you believe that time also that the solution already exists.
You focus on the solution of problems that arise, rather than the cause of the problem. That way you take over control from within yourself, rather than be controlled by circumstances beyond.
The problem is an opportunity for self-development. You see it as an opportunity to create a positive reality in your life.

Want to receive the problem does not mean silence. You do not “full of anger” but recognize the problems in stride and make yourself responsive to everything you need to invite solutions.

The simplest example is when you love couples (eg wife, husband, or boyfriend) is being cranky because of trivial issues. With a reactive approach, you will only aggravate the situation by wondering why he should be cranky, analyze the cause and feel this condition would threaten the harmony of your relationship with him. Instead of solutions obtained but rather anxiety and concern.

With a receptive approach, you accept and realize that your partner is angry. You focus your energy to create affection which is basically the opposite of anger. You are not late getting carried away – try to find the answer from the analysis of why he was so angry – but it took over control from within yourself, stay calm thinking, and showed a positive attitude in your behavior. You will feel that in this situation makes you grow. You create positive qualities about yourself to surface and has become the law of nature with your partner act like this will undoubtedly change from anger to love.

This receptive approach can practice in the life business, households, and social. Essentially you build confidence that the problem is not real so you do not feel burdened. Train yourself not to be reactive when a problem arise. Focus yourself on the opposite of the problem, namely the solution, to find the control and not soluble in the matter.

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Location : Location doesn’t refer here to the location (as in the URL) of a web page. Instead, it refers to the location of key words and phrases on a web page.

So, for example, if a user searches for “wordpress plugin,” some search engines will rank the results according to where on the page the word “wordpress plugin” appears. Obviously, the higher the word appears on the page, the higher the rank might be. So a web site that contains the word “wordpress plugin” in the title tag will likely appear higher than a web site that is about wordpress plugin but does not contain the word in the title tag. What this means is that a web site that is not designed with SEO in mind will likely not rank where you would expect it to rank.

Frequency : The frequency with which the search term appears on the page may also affect how a page is ranked in search results. So, for example, on a page about wordpress plugin, one that uses the word five times might be ranked higher than one that uses the word only two or three times. When word frequency became a factor, some web site designers began using hidden words hundreds of times on pages, trying to artificially boost their page rankings. Most search engines now recognize this as keyword spamming and ignore or even refuse to list pages that use this technique.

Links : One of the more recent ranking factors is the type and number of links on a web page. Links that come into the site, links that lead out of the site, and links within the site are all taken into consideration. It would follow, then, that the more links you have on your page or leading to your page the higher your rank would be, right? Again, it doesn’t necessarily work that way. More accurately, the number of relevant links coming into your page, versus the number of relevant links within the page, versus the number of relevant links leading off the page will have a bearing on the rank that your page gets in the search results.

Click-throughs : One last element that might determine how your site ranks against others in a search is the number of click-throughs your site has versus click-throughs for other pages that are shown in page rankings. Because the search engine cannot monitor site traffic for every site on the Web, some monitor the number of clicks each search result receives.

Part 1. The query interface : is what most people are familiar with, and it is probably what comes to mind when you hear the term “search engine.” The query interface is the page that users see when they navigate to a search engine to enter a search term.

For example, Yahoo! Search, allows users to personalize their pages with a free e-mail account, weather information, news, sports, and many other elements designed to make users want to return to that site to conduct their web searches.

Part 2. crawlers, spiders, robots – The query interface is the only part of a search engine that the user ever sees. Every other part of the search engine is behind the scenes, out of view of the people who use it every day. That does not mean it is not important, however. In fact, what is in the back end is the most important part of the search engine.

If you have spent any time on the Internet, you may have heard a little about spiders, crawlers, and robots. These little creatures are programs that literally crawl around the Web, cataloging data so that it can be searched. In the most basic sense all three programs — crawlers, spiders, and robots — are essentially the same. They all “collect” information about each and every web URL.

This information is then cataloged according to the URL on which they are located and are stored in a database. Then, when a user uses a search engine to locate something on the Web, the references in the database are searched and the search results are returned.

Part 3. Databases – Every search engine contains or is connected to a system of databases, where data about each URL on the Web (collected by crawlers, spiders, or robots) is stored. These databases are massive storage areas that contain multiple data points about each URL.

The data might be arranged in any number of different ways, and will be ranked according to a method of ranking and retrieval that is usually proprietary to the company that owns the search engine.

Part 4. Search algorithms – All of the parts of the search engine are important, but the search algorithm is the cog that makes everything work. It might be more accurate to say that the search algorithm is the foundation on which everything else is built. How a search engine works is based on the search algorithm, or the way that data is discovered by the user.

In very general terms, a search algorithm is a problem-solving procedure that takes a problem, evaluates a number of possible answers, and then returns the solution to that problem. A search algorithm for a search engine takes the problem (the word or phrase being searched for), sifts through a database that contains cataloged keywords and the URLs those words are related to, and then returns pages that contain the word or phrase that was searched for, either in the body of the page or in a URL that points to the page.

Part 5. Retrieval and ranking – For a web search engine, the retrieval of data is a combination activity of the crawler (or spider or robot), the database, and the search algorithm. Those three elements work in concert to retrieve the word or phrase that a user enters into the search engine’s user interface. And as noted earlier, how that works can be a proprietary combination of technologies, theories, and coding whizbangery. The really tricky part comes in the results ranking.

Ranking is also what you will spend the most time and effort trying to affect. Your ranking in a search engine determines how often people see your page, which affects everything from revenue to your advertising budget. Unfortunately, how a search engine ranks your page or pages is a tough science to pin down.

The most that you can hope for, in most cases, is to make an educated guess as to how a search
engine ranks its results, and then try to tailor your page to meet those results. But keep in mind that, although retrieval and ranking are listed as separate subjects here, they are actually part of the search algorithm. The separation is to help you better understand how search engines work.

The search capabilities of Archie weren’t as fancy as the natural language capabilities you’ll find in
most common search engines today, but at the time it got the job done. Archie indexed computer
files, making them easier to locate.

In 1991, however, another student named Mark McCahill, at the University of Minnesota, decided that if you could search for files on the Internet, then surely you could also search plain text for specific references in the files. Because no such application existed, he created Gopher, a program that indexed the plain-text documents that later became the first web sites on the public Internet.

With the creation of Gopher, there also needed to be programs that could find references within the indexes that Gopher created, and so Archie’s pals finally rejoined him. Veronica (Very Easy Rodent-Oriented Net-wide Index to Computerized Archives) and Jughead (Jonzy’s Universal Gopher Hierarchy Excavation and Display) were created to search the files that were stored in the Gopher Index System.

Both of these programs worked in essentially the same way, allowing users to search the indexed
information by keyword.

From there, search as you know it began to mature. The first real search engine, in the form that we know search engines today, didn’t come into being until 1993. It was developed by Matthew Gray, and it was called Wandex. Wandex was the first program to both index and search the index of pages on the Web. This technology was the first program to crawl the Web, and later became the basis for all search crawlers. And from there, search engines took on a life of their own. From 1993 to 1998, the major search engines that you’re probably familiar with today were created:

Excite — 1993
Yahoo! — 1994
Web Crawler — 1994
Lycos — 1994
Infoseek — 1995
AltaVista — 1995
Inktomi — 1996
Ask Jeeves — 1997
Google — 1997
MSN Search — 1998

Today, search engines are sophisticated programs, many of which allow you to search all manner of files and documents using the same words and phrases you would use in everyday conversations. It is hard to believe that the concept of a search engine is just over 15 years old. Especially considering what you can use one to find these days!

In its infancy, the Internet was nott what you think of when you use it now. In fact, it was nothing like the web of interconnected sites that is become one of the greatest business facilitators of our time. Instead, what was called the Internet was actually a collection of FTP (File Transfer Protocol) sites that users could access to download (or upload) files.

To find a specific file in that collection, users had to navigate through each file. Sure, there were shortcuts. If you knew the right people — that would be the people who knew the exact address of the file you were looking for — you could go straight to the file. That is assuming you knew exactly what you were
looking for.

The whole process made finding files on the Internet a difficult, timeconsuming exercise in patience. But that was before a student at McGill University in Montreal decided there had to be an easier way. In 1990,
Alan Emtage created the first search tool used on the Internet. His creation, an index of files on the Internet, was called Archie.

If you are thinking Archie, the comic book character created in 1941, you are a little off track (at least for now). The name Archie was used because the file name Archives was too long. Later, Archie’s pals from the comic book series (Veronica and Jughead) came on to the search scene, too, but we will get to that shortly.