What is the vertical search engine? What are the vertical search engines?

The vertical search engine is a professional search engine for a certain industry. It is a subdivision and extension of the search engine. It is to integrate a certain type of information in the web library, and to map the fields to extract the required data for processing. Some form is returned to the user. Vertical search is a new search engine service model proposed by a relatively large amount of information, inaccurate query, and insufficient depth of a general search engine. It has certain value for a specific domain, a specific group of people or a specific demand. Information and related services. Its characteristics are "specialized, precise, deep", and has an industry color, compared with the massive information disorder of the general search engine, the vertical search engine is more focused, specific and in-depth.

What is a vertical search engine

Vertical search is a professional search engine for a certain industry. It is a subdivision and extension of the search engine. It is an integration of a certain type of information in the web library, and the corresponding fields are extracted to extract the required data for processing. The form is returned to the user.

The biggest difference between the vertical search engine and the ordinary web search engine is that the webpage information is structured and extracted, that is, the unstructured data of the webpage is extracted into specific structured information data, such as webpage search as the minimum unit of webpage. The visual-based web block analysis is based on the web block as the smallest unit, while the vertical search is based on the structured data as the smallest unit. Then the data is stored in the database for further processing, such as: deduplication, classification, etc., and finally the word segmentation, index and then search to meet the user's needs.

Throughout the process, the data is extracted from the unstructured data into structured data, and after deep processing, it is returned to the user in an unstructured manner and in a structured manner.

Vertical search engines have many application directions, such as enterprise library search, supply and demand information search engine, shopping search, real estate search, talent search, map search, mp3 search, image search... almost all kinds of information in various industries can be further refined into various The vertical search engine of the class.

For example, the description will be easier to understand. For example, the shopping search engine has the following overall process: after crawling the webpage, extracting the product information of the webpage, extracting the product name, price, and introduction... and even further subdividing the notebook Into "brand, model, CPU, memory, hard drive, display, ..." and then clean the information, de-duplication, classification, analysis and comparison, data mining, and finally provide user search through the word segmentation index, provide market market report through analysis and mining .

What is the vertical search engine? What are the vertical search engines?

Vertical search engines generally require the following technologies

1. Spider

2. Web structured information extraction technology or metadata collection technology

3. Participle, index

4. Other information processing technology

The technical evaluation of vertical search engines should be judged from the following points

1. Comprehensive

2. Updateability

3. accuracy

4. Feature

The entry barrier for vertical search is low, but the threshold for competition is high. Unfocused spirit and superb technology are not enough. Industry portals have industry advantages but they have no technical advantage. Don't imagine that you can solve all the techniques of vertical search by recruiting a few people. As a product that needs continuous improvement of operational products rather than a project. The degree of control is one of the important factors for the success of vertical search.

1. What is the vertical search engine?

Vertical search is not just a general-purpose search for google-like industries. Take the real estate industry as an example. If we follow the way Google crawls the webpage to build a real estate industry google, it will not work. Technical barriers don't need to be explained. Even if we use the search technology such as nutch and lucene, we can't provide differentiated services. Without differentiated products, we can't survive under the rules of Internet winners. Just don't simply imitate. And want to find ways to complement each other.

Vertical search and current google, baidu and other general search are different from positioning, content, users, market strategy and so on. So vertical search is not just a simple industry google.

The way users use google, baidu and other general search engines is achieved by means of keywords. It is a semantic search. The returned results tend to be knowledge-based, such as articles, papers, news, etc. Vertical search also provides keywords for Searched, but placed in the context of an industry knowledge, the returned results are more inclined to information, messages, entries, and so on. For the person who bought the house, he hopes to find the house supply and demand information and articles, news and so on. This feature is determined by their respective technical characteristics. For example, if the google search engine is a positive pyramid, then the vertical search engine is an inverted pyramid, and the two are complementary.

2. What is vertical search?

I think: the essence of vertical search is a simplified integration of the way vertical portal information is provided.

There is a clear saying in the search field that the user can't describe what he is looking for, unless he is allowed to see what he is looking for. This process is a bit like looking for an object. Trying luck is the biggest feature of user search behavior. The vertical search engine is to improve the luck for the user.

Vertical search is to serve a certain function, for example, the user searches for renting a house, and buying a house information is a vertical search. Reprocessing of information is critical, whether it is structured data or unstructured data.

3. Content sources for vertical search:

A portal's own resources

B provides resources for industry users with open interfaces

C common user resources

D crawl the resources of industry users

A technical expert in charge of search at Microsoft Research Asia said: 75% of content search engines are not available. This contains 2 layers of meaning:

(1) The structure of the website is unreasonable, and the webpage is not friendly to the search engine;

(2) Since information is massive on the Internet, unstructured information needs to be structured and combed to be better displayed. It would be better if the carder could provide a search. Vertical portals are the best comb for industry information.

The main content provided by the vertical search engine should not be limited to ordinary web page indexing, but also includes processing of commercial information and structured information.

4. Where is the threshold for entering the vertical search?

To say the threshold on the Internet is more than resources. The same is true for vertical search. Whether it can provide comprehensive and authoritative industry information, whether it has industry resources is the threshold for the development of vertical search engines. In other words, the vertical portal is the closest father to the vertical search lineage. As a property industry, SouFun is a vertical portal. No one in the real estate sector knows more about what is vertical search.

The difficulty of vertical search is not technology, but the innovation of users' participation in portal behavior and the integration of upstream and downstream information resources by vertical portals.

5, the characteristics of vertical search:

(1) Search is a platform for an industrial business alliance, a search portal for upstream and downstream companies that integrates industry chains.

(2), the vertical search performance and google, baidu performance is different, structured search and unstructured search and use.

(3), from the advertising model, there is another possibility besides google adsense and Baidu bidding.

6, three characteristics of the vertical search engine:

(1) The data captured by the vertical search engine is derived from the industry sites that the vertical search engine focuses on:

For example, the data of a search engine looking for a job comes from:

, and many more;

The stock search engine data comes from:

Waiting for stock sites;

(2) The data captured by the vertical search engine tends to be structured data and metadata:

For example: we are looking for work attention:

Job Information: Software Engineer;

Company name, industry name: software company, outsourcing industry, etc.;

Location: Beijing, Haidian;

(3) The vertical search engine search behavior is based on structured search of structured data and metadata:

For example: Find: the work of Haidian software engineers.

7. Eight criteria for vertical search engine sites:

1. Choose a good vertical search direction. As the saying goes, men are afraid of choosing the wrong line. This is the same for search engines. In addition to the large demand for vertical search in this industry, the data attributes of this industry are best not to

Yahoo, Google and other general search crawling directions overlap.

The current popular vertical search industries are: shopping, travel, automotive, work, real estate, dating and other industries. Search engines are also known to be insensitive to dynamic url data, and these can be used as entry points for vertical search engines;

2. Evaluate the website, vertical search content, industry composition, etc. of the selected vertical search industry:

We all know that vertical search engines don't provide content sources, and their data relies on crawler collection and deep processing. Therefore, it is important to consider the environment and location of the vertical search engine.

3, in-depth analysis of the vertical search engine index data features:

The index data of the vertical search engine is too structured, so the threshold for entry is relatively low, and the competition in the industry will form a swarm of bees; if the characteristics of the search data are unstructured, it is difficult to grasp and analyze such data, and the barriers to entry are too high. It may be that the teacher did not die before he died.

4, vertical search engine index data tends to structure data and metadata, this feature is different from yahoo, google and other general search engines, which is the vertical search engine's foothold. And the vertical search engine is rooted in a certain industry.

Therefore, industry knowledge, industry experts are also not available in the general search engine. In other words, entering a vertical search is a threshold.

5, vertical search engine search results should cover the entire industry, search relevance is higher than the general search engine, close to the user's search intent, search results should be timely.

6, vertical search engine web 2.0 requirements:

The search data of the vertical search engine is more and less refined than the full-text index of the general search engine due to its structured nature. Therefore, the design should provide an interface for collecting user data, and provide mechanisms such as tags and integrals to make the search results more "vertical".

7. The goal of a vertical search engine is to help users solve problems, not just to find information like a general search engine:

This is the ultimate goal of vertical search engines. When doing a vertical search engine you need to consider: what is the specific problem in the industry, and what is a general problem. Keso repeatedly mentioned that Google's goal is to let users leave google as soon as possible, and vertical search engines should stick to users. In general, users who use vertical search engines are closely related to the user's interests. The so-called interest demand is my own original, the idea is closely related to the user's work, the indispensable needs in life, and seeking continuity. For example: students looking for papers, owners looking for renovation information and so on. So sticking the user and giving the user feedback is a key part.

8. Communityization features of vertical search engines:

This article is related to Article 9.

As the saying goes, things are clustered, people are grouped, vertical search engines are positioned in an industry, and serve a group of people with specific needs. This feature determines the community behavior of vertical search. People use vertical search engines to solve problems and share feedback. Nowadays, websites are all about community-based, so the vertical search engine is essentially a simplified integration of the way vertical portal information is provided.

Search market segmentation Google, Baidu face challenges

After Baidu went public, the search market suddenly got hot. More and more companies are working around the search market. Moreover, while searching for the war, some companies have also thrown some amazing remarks. Recently, the reporter learned from the professional contact person (the technical director of the network) that the liaison office is stepping up the professional vertical of the field related to the development of contacts.

Search engine systems, such as job recruitment information search engines, are expected to be launched at the end of 2005. The reason why contact liars are involved in the professional vertical search engine field is a huge opportunity to see the vertical professional search engine market in the future. He believes that the future search market will further Subdivided, like Google, Baidu and other large-scale global search engines will face greater competition and challenges from vertical professional search engines, their market share will be gradually divided, professional industry vertical search will be subject to The favor of netizens.

So why can we draw such a conclusion? Mr. Qi explained that CNNIC’s fourteenth Internet survey showed that search has become the main way for users to obtain information from the Internet with an absolute advantage of 71.9%. In almost all surveys around the world, search engines are second only to e-mail services on the Internet. Search engine services can become the most popular service because he solves the problem of users quickly locating information on the vast Internet. The problem is that finding information in a large number of web pages in a traditional way requires the user to find a website and a website-level directory. It takes almost a lot of effort and time, and it is almost impossible to achieve. However, the amount of information on the Internet is exploding. The number of web pages collected by global search engines was only tens of millions of pages a few years ago, but now it has reached several billion pages. The increase in the number of search services has led to a decline in the quality of search services. The result set is massive, often hundreds of thousands of pieces of data. There are a lot of duplicate information and spam in the results. It is more and more difficult for users to quickly find the matching information. Now often using search engines can feel difficult in short Accurately screen out the required content in time, and the vertical search engine performs professional and in-depth analysis and mining, fine classification, filtering and filtering, etc. for professional-specific fields or industry content, and the information is more accurate, so in this vertical field or The search service provided by the industry is bound to be better and stronger, and more popular with users.

For example, if a netizen needs information on a specific field or industry, if a professional vertical search can accurately lock the content, but the content is too small, and the other is able to retrieve a large amount of content. However, most of the searched content is “junk” and it is difficult to find the matching information. In this case, which one would you choose, just as the user wants to buy a product, he will go to a special comparison shopping search engine. Looking for it will go to Google to find, if you want to find a job, will you go to a special job search engine to find or go to Baidu to find? The answer is obvious. More users will abandon the latter. Even if the former brand name is small, the result is often the most valued by netizens.

Mr. Qi also gave a simple example like the reporter. The contact LINKIST has been expanding the network of contacts, which is now the hot SNS website. The purpose of the SNS website is to build a huge network of people. Find the person you are looking for through the search engine of the station, you can find a job, collect talents, and find business opportunities. The contact LINKIST has gathered nearly 70,000 senior business people in just a few months. With a certain user base to pave the way, the contact LINKIST is currently developing a vertical search engine for the professional field, such as the job search engine's personal search engine, which is more flexible than the previous mechanical methods of “posting resumes and recruiting information”. More.

Moreover, the ability to make such predictions is clearly not groundless. According to the reporter, the large number of vertical professional search engines in the search market are springing up like MP3 shopping search engines, job search engines, blog search engines, etc., which account for almost half of Baidu’s traffic. It can be said that it is a professional search engine for MP3's vertical search engine, and many vertical portals have also launched their own search engine systems.

Just before

Li Xueling, who started his career after resigning from Netease's content director position, also launched a search engine for blog content. This also shows that the vertical search engine market is in the process of gestation, both opportunities and challenges, and its profit model is already in Google. Baidu and other bodies have been verified. Moreover, many venture capital (VC) have recognized and placed a bet on the concept of search.

So, can Google and Baidu squeeze out this part of the dedicated search market by “remediation”? Mr. Qi told reporters that Google and Baidu are destined to take a big and complete rough route, while the dedicated vertical search engine is different. It needs to dig deep into the content, do a fine classification, and build a knowledge base system in the professional field. Wait a minute, and these are all things that Google, Baidu, etc. can't do. They don't have the energy to do this, and they can't do it for every industry field. "There is a specialization in the industry."

Just as portals and professional vertical industry websites can coexist, netizens also have different appetites. Some simply obscured information is already satisfied, while some netizens looking for precise content prefer professional engines, such as you. I plan to change my job. I used to go to the talent recruitment website to post resumes. I often have no news. Now, I can go to contact LINKIST to try, and I can exchange the latest industry information with my friends and discuss the development trend of the industry. Moreover, after the contact LINKIST launched the network of contacts, it will be rewarded with a single click.

Some experts predict that in the future, professional vertical search will set off a wave of enthusiasm. Moreover, the vertical search engine will not be a simple text box, a button will travel all over the world, but also need professional information assistance and supporting value-added content. The support is the second "processing" of related content. This is precisely what Google and Baidu can't provide. I believe that many VC eyeballs will focus on this, and what challenges will Google and Baidu face? We can only wait and see.

To understand the vertical search engine, it is necessary to compare it with the well-known horizontal search engine, the general search engine. At present, the main search engine service providers in the Internet field, such as yahoo, Baidu, google, etc., provide users with horizontal and massive information search. They can satisfy the horizontal search and provision of a large amount of information, but it is difficult to balance the accuracy of the search and the quality of the relevance. The value of the universal search engine lies in the large amount of information navigation, and the lack of guidance for industry customers with relatively concentrated information needs and more detailed classification. The generation of vertical search engines is an effective solution to the market demand that the above general search engines cannot meet.

Vertical search means that the search engine provides users with hundreds or even tens of millions of related web pages, but specific information that is extremely narrow and highly targeted. In other words, search engines collect data on a “market niche” in the market space, such as jobs, travel, and high-end real estate. Such information is not only easier to digest for users, but also more in depth.

Google, Yahoo, and MSN are the major search engine giants that dominate the Internet search market. Most of the world's Internet users use these search engines to find the information they need. However, when looking for some specific information, the performance of these major search engines is not satisfactory. Sometimes users get what they tend to be and their query intentions

The result is irrelevant. The need to close the distance between users and the information they need has spawned and promoted niche development in the search industry. Vertical search engines are targeting different niche markets in the search market.

The niche is the translation of the English noun, Niche, which refers to certain market segments that are usually ignored by large companies in the market. The niche market strategy refers to the occupation of these markets by specialized operations.

The strategy adopted to maximize the benefits. The significance of implementing a niche strategy is that companies that conduct market niches have in fact fully understood the target customer base and are therefore better and better able than others.

Meet the needs of consumers. Moreover, market niches can charge more profit based on the added value they provide. In short, market niche people get “high marginal revenues”, while intensive marketers get only “high aggregate returns”.

Analysts believe that there is a close relationship between the niche search market and the powerful online advertising market. Managers can use the search results page to run ads like Google and Yahoo, which provide a certain targeted text ad on the search results page. This advertising strategy has been seen as a profitable channel in the search industry.

For vertical search engines, because the data source is detailed, it makes it possible to manipulate the data and present it in an easy-to-use, convenient way. In addition, the past two types of online advertising "cost-per-thousand impressions" and "cost-per-click (CPC)" advertising methods have low efficiency, high advertising costs, which is the vertical search is optimistic One of the main reasons. Vertical search can provide a more focused audience, which can improve the advertising ability of search engine ads. At the same time, vertical search can also effectively promote the development of new advertising opportunities - we call it "cost per action." This type of advertising is not limited to the amount of advertising, according to the actual effect of the advertising, that is, according to the potential customer response action billing.

What is the vertical search engine? What are the vertical search engines?

What vertical search engines are there in China?

All major search engines have their own vertical search engines, such as MP3 search, image search, news search, BLog search and so on. Independent vertical search engines include: travel search engines (such as Ctrip, etc.), commercial search engines, and price search engines are vertical search engines.

Nine very distinctive vertical search engines

Love to see icon network, Chinese icon search engine (http://)

Currently contains more than 10,000 icons, the function is not bad, you can search by icon series, classification, color, keywords, icon title, etc.; you can view the author information, size, image file format, color system of each icon, Information such as classification. Each icon is available in png format (the png format is transparent). Most icons are also available in ico format. This site is very useful for people who design web pages and make PPTs.

Check out search engines that specifically look up various numbers (http://)

Currently supports mobile phone ownership, IP address, postal code, telephone area code, ID card inquiry, QQ number, license plate inquiry, and check out similar websites. There are many websites here. The reason is that this website has no advertisements, and there are A lot of features: you can check the license plate number (this has not been found on other websites), when you look up the QQ number, you can not only see whether the owner of the number is online, but also the QQ show of the QQ number; The attribution query has a very interesting voting function; when querying, you can also see some fortune, weather, etc. related to the content of the query.

Find word network, Chinese font search engine (http://)

Find word network is a website that focuses on searching fonts. It also supports advanced search functions such as font encoding and font type. It also supports font online preview platform, which can greatly save time for finding fonts.

Douding net, Chinese document search engine (http://)

Douding.com claims to include more than 100 million documents. It is the largest Chinese document library, providing keyword search function for document title, introduction and content, and supports more than 30 file formats such as Word, PDF, PPT and Jpg.

Love search website, Chinese e-book search engine (http://)

Founded in 2006, Aishushu.com is dedicated to the vertical search service of various e-book resources. Currently, it has more than 10 million e-book search resources including comics, novels, business, life, astrology and mobile phones.

MACD search engine, financial information real-time search engine ()

MACD search engine stocks, funds, bonds and other information index. The MACD search engine provides the most immediate search for financial information. The information is really new, and the content is less.

A collection of professional friends, the largest work search engine (http://) in China, focusing on the job search field. With the expansion of the online recruitment market, the recruitment of industry and regional recruitment websites are mature, and the recruitment information is decentralized. The highest level of real-time job information updated by the professional friends set exceeded 700,000/day, and the general update speed was stable between 30-400,000 daily. The huge job information supports the accuracy of the salary search data of the faculty collection.

258.com, commercial search engine (http://)

258 Business Search claims to be the world's first commercial search engine, providing multi-language business information search services for global business people, searching for more than 6,000 B2B platforms worldwide, including supply and demand information, product information, company information, industry news, etc. Business information; 258 business search services include: business search, company search, news search, business directory, business "find", personalized services, etc., to provide successful business people with search, subscription, SMS services, users will be the first time Master the world's first business opportunity.

Sweet potato net, Chinese book vertical search (http://)

Fanshu.com provides a comprehensive cloud service for Chinese book search engine, e-commerce platform and all-media publishing system. Provides 600,000 copies of genuine book search services, supports full-text search, and achieves accurate access to book resources through search.

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