What is vertical search?

Vertical Search is a professional search engine for a certain industry. it is a subdivision and extension of search engines and an integration of some specialized information in the web library, extract the required data from the targeted sub-field for processing and then return it to the user in a certain situation.

Vertical Search is a professional search engine for a certain industry. it is a subdivision and extension of search engines and an integration of some specialized information in the web library, extract the required data from the fields for processing and then return it to the user in a certain situation.

The biggest difference between a vertical search engine and a common Web search engine is that structured information is extracted from webpage information, that is, unstructured data of webpages is extracted into specific structured information data, for example, web page search is based on the smallest unit of web page, visual-based web page block analysis is based on the smallest unit of web page blocks, and vertical search is based on the smallest unit of structured data. The data is then stored in the database for further processing, such as duplication and classification. the final word segmentation and index are then searched to meet users' needs.

During the entire process, the data is extracted from unstructured data into structured data. after deep processing, the data is returned to users using unstructured and structured methods.

Vertical search engines are widely used, such as enterprise database search, supply and demand information search engine, shopping search, real estate search, talent search, map search, mp3 search, and image search ...... Almost all types of information in various industries can be further refined into various vertical search engines.

For example, the general process of the shopping search engine is as follows: after a webpage is crawled, the product information on the webpage is extracted, extract the product name, price, and description ...... The notebook introduction can even be further subdivided into "brand, model, CPU, memory, hard disk, display ,......" Then, the information is cleaned, duplicated, classified, analyzed and compared, and data is mined. Finally, the keyword index is used to provide the user with search, and the market quotation report is provided through analysis.

　　Vertical search engines generally require the following techniques:

1. Spider

2. web structured information extraction skills or metadata collection skills

3. word segmentation and indexing

4. Other information processing skills

　　The following points should be used to evaluate the skills of vertical search engines:

1. comprehensiveness

2. Update

3. accuracy

4. efficacy

Vertical Search has a low entry threshold, but the competition threshold is high. No focus or advanced skills are acceptable. Industry Portal websites have the advantages of the industry, but they do not have the advantages of skills. do not imagine recruiting a few people to get all the skills of vertical search, as a product that requires continuous improvement and operation, the mastery of skills is one of the important factors for the success of vertical search.