The root of navigation lies in classification. When there are 100 pieces of information, we use categories to locate the information. When there are 10,000 pieces of information, we use tags to locate the information. When there are 100..00 pieces of information, no matter how it is classified They are all difficult to find, so there is a search...
When a website accumulates more information, search will become more and more important. So that one day, when the website finds that the first thing that more than 50% of users come to your website is search, search will become navigation without "navigation". Therefore, on-site search has become a top priority in website construction. With the deepening of network applications and the explosive growth of information volume, on-site search has become a must-have function for every excellent website. Looking at China's large, medium and small websites, the vast majority of them are helpless in the face of massive data. The main manifestations are as follows:
1. The search results are not accurate enough. The results retrieved are often not what we need, and you have to turn the page several times to find the content you need.
2. The search speed is slow and extremely slow. Generally, the search function is implemented through the LIKE keyword in the SQL statement. However, when the number of LIKEs is large, the speed is very slow and may even cause the server to crash.
3. The text cannot be found. Similar to the second article, the LIKE keyword can only perform comparison operations on short texts, but cannot perform operations on long texts such as text. At this time, even if our text contains the content we need, it cannot complete the search task.
4. Multi-keyword search is not supported. Only one keyword can be searched. In actual searches, searchers usually search through two keywords to narrow the search scope to achieve their own wishes.
5. No results can be found for long terms. If you want to perform an exact match on a very long term, the search results may be extremely sparse or no search results can be found.
6. A slightly better situation than the above. In some CMS systems, keywords can be specified for the text, but since it does not have a specialized search engine algorithm and structure, it can only be a drop in the bucket. For example, 1. Relevance ranking cannot be performed, 2. It must be done manually or semi-automatically. Keywords, 3. Also does not support long term search, 4. The search rate is low, 5. New words cannot be recognized, 6. Only web pages within the CMS range can be searched, 7. Manual operation is inefficient, etc. .
In order to solve the above problems, Edge Studio has developed the "Easy Search - Intelligent Full Text Retrieval Site Search Engine", referred to as YSS, after long-term research, continuous exploration, repeated experiments, and based on current trends, to solve the above problems. YSS mainly has the following characteristics:
1. It is a real search engine as you need:
2. Web spiders are flexible and efficient.
3. Controllable text extraction.
4. Controllable Chinese word segmentation and new word learning.
5. No one is on duty.
6. BS architecture, virtual host support.
7. Powerful functions, easy to use.
8. Personalization.
9. Enhance the soft power of the website:
9.1 Quickly find the information visitors need, provide a better browsing experience, and improve user-friendliness
9.2 Improved user stickiness
9.3 Increased PV amount
9.4 Enhance the technical content of the website
9.5 ahead of competitors
9.6 Make your website more professional
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