Full interpretation of vertical search engines

1. what is a vertical search engine? Vertical Search is not just an industry-wide search like google. Taking the real estate industry as an example, if we use google to capture web pages to build a real estate industry google, it will not work. Technical barriers do not need to be explained. even if we use search technologies such as nutch and lucene, we cannot provide differentiated services 1. what is a vertical search engine?

Vertical Search is not just an industry-wide search like google. Taking the real estate industry as an example, if we use google to capture web pages to build a real estate industry google, it will not work. Technical barriers do not need to be explained. even if we use search technologies such as nutch and lucene, we cannot provide differentiated services, no differentiated products cannot survive under the rules that Internet winners can eat, that is, do not simply imitate, but try to form a complementary approach.

Vertical search is different from general search such as google and baidu in terms of positioning, content, users, and marketing strategies. Therefore, vertical search is not just a simple industry google.

Users use google, baidu, and other general search engines by keyword. Semantic search results tend to produce knowledge, such as articles, papers, and news; vertical Search also provides keywords for search, but is placed in the context of an industry knowledge, the returned results tend to be information, messages, entries, and so on. He told the House buyers that he wanted to find different information about supply and demand, articles, and news. This feature is determined by their respective technical features. For example, if the google search engine is a positive pyramid, the vertical search engine is an inverted pyramid, and the two are complementary.

　　2. what is vertical search?

In my opinion, the essence of vertical search is a simplified integration of vertical portal information provision methods.

There is a saying in the search field: a user cannot describe what he is looking for, unless he is asked to see what he is looking for, this process is a bit like looking for an object, luck is the biggest feature of users' search behavior. Vertical search engines provide better luck for users.

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

　　3. vertical search content source:

Resources of Portal

B. resources provided by industry users through open interfaces

C. resources released by normal users

D. capture resources of industry users

A technical expert responsible for searching at Microsoft Asia Research Institute said: 75% of the content cannot be searched by general search engines. Here there is a 2-layer meaning:

(1) the website structure is unreasonable and the webpage is unfriendly to search engines;

(2) because the information on the Internet is massive, unstructured information needs to be organized for better display. It would be better if the hacker could provide a search. Vertical portal websites are the best readers of industry information. The main content provided by vertical search engines should not be limited to common web indexing, but also include business information processing and structured information.

　　4. where is the threshold for vertical search?

On the Internet, the threshold is more than resources. Vertical Search is also like this. whether it can provide comprehensive and authoritative industry information or possess industry resources is the threshold for vertical search engine development. In other words, the vertical portal is the father closest to the vertical search lineage. SouFun is a vertical portal in the real estate industry. no one in the real estate field knows what vertical search is.

Vertical Search is not a technical difficulty, but an innovation in users' participation in portal website behavior and integration of vertical portal websites to upstream and downstream information resources of the industry.

　　5. features of vertical search:

(1) search is a platform of industrial commerce alliances and a search portal for upstream and downstream companies integrating the industrial chain.

(2) vertical search is different from google and baidu. structured search and unstructured search are used.

(3) the advertising model provides an alternative to google adsense and Baidu spot price ranking ads.

　　6. Three features of vertical search engines:

(1) the data captured by the vertical search engine comes from the industry websites that the vertical search engine is concerned:

For example, the search engine www.deepdo.com for job search is from www.51job.com, www.zhaoping.com, and www.chinahr.com;

Data from the stock search engine www.macd.cn comes from stock sites such as www.jrj.com.cn and www.gutx.com;

(2) data captured by vertical search engines tends to be structured data and metadata:

For example, if you are looking for a job:

Job information: Software engineer;

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

Location: Beijing, Haidian;

(3) vertical search engines use structured searches based on structured data and metadata:

For example, find the work of Haidian software engineer.

　　7. eight guidelines for vertical search engine sites:

(1) select a good vertical search direction. As the saying goes, male is afraid of selecting the wrong line. this is also true for search engines. in addition to the large demand for vertical search in this industry, it is best not to match the data attribute of this industry.

The crawling direction of common search such as Yahoo and Google overlaps.

Currently, popular vertical search industries include: shopping, tourism, automobile, work, real estate, dating and other industries. Search engines are well known to be insensitive to dynamic url data, which can be used as the starting point for vertical search engines;

(2) evaluate the websites, vertical search content, and industry composition of the selected vertical search industry:

We all know that the vertical search engine does not provide content sources. its data depends on crawler collection and is deeply processed. Therefore, it is important to consider the big environment and positioning of vertical search engines.

(3) in-depth analysis of index data features of vertical search engines:

If the index data of a vertical search engine is too structured, the entry threshold is relatively low, and the competition in the industry forms a situation where the search data is unstructured and captured, it is difficult to analyze such data.

The base is too high, and it is very likely that the teacher will die first.

(4) index data of vertical search engines tends to be structured data and metadata. this feature is different from general search engines such as yahoo and google, which is the foothold of vertical search engines. Vertical search engines are rooted in an industry. Therefore, industry knowledge and industry experts are also unavailable to generic search engines. That is to say, there is a threshold for vertical search.

(5) the search results of vertical search engines must cover the entire industry. The search relevance is higher than that of general search engines, which is close to the user's search intention and the search results should be timely.

(6) web 2.0 requirements of vertical search engines:

Because of its structured nature, the search data of a vertical search engine is less refined than the full-text index of a general search engine. Therefore, the interface for collecting user data should be provided during the design, and tag, product

The classification mechanism makes the search results more vertical ".

(7) the goal of vertical search engines is to help users solve problems, rather than simply discovering information like general search engines:

This is the ultimate goal of vertical search engines. When creating vertical search engines, you need to consider: What is the special issue in the industry and what is the general issue. Keso repeatedly mentioned that google's goal is

Let the user leave google as soon as possible, and the vertical search engine should stick to the user. Generally, users who use vertical search engines are closely related to their interests and needs. The so-called interests and needs are self-developed to ensure that they are closely related to the work of users and are essential to life, while striving for continuity. For example, students need papers and owners need decoration information. Therefore, it is a key part to stick to the user and give feedback to the user.

(8) community features of vertical search engines:

This article is related to article 9th.

As the saying goes, vertical search engines are positioned in an industry to serve a group of people with specific needs. this feature determines the community-based behavior of vertical search. People use vertical search engines to solve problems and share feedback. Currently, all websites require community-based services. Therefore, vertical search engines are essentially a simplified integration of vertical portal information.