Vertical search

Vertical search is targeted at a particular industry professional search engine, search engines are broken down and extended, the webpage database is some kind of specialized information integrate a directional branch field, extract the needed data to be processed and then in some form is returned to the user. Relatively general search engines with large amount of information, the query is not accurate, not enough depth, put forward the new search engine service mode, through targeted to a specific domain, a specific group or a specific demand to provide some valuable information and related services. Its characteristic is "specialized, refined, deep", and with industry of color, compared to the general search engine information disordering, vertical search engine is more focused, specific and thorough.

Brief introduction

Vertical search engine is relatively general search engines with large amount of information, the query is not accurate, not enough depth, put forward the new search engine service mode, through targeted to a specific domain, a specific group or a specific demand to provide some valuable information and related services. Its characteristic is "specialized, refined, deep", and with industry of color, compared to the general search engine information disordering, vertical search engine is more focused, specific and thorough.

Vertical search engine and general webpage search difference

Vertical search engine and ordinary webpage search engine is the biggest difference is to webpage information in a structured information extraction, namely the webpage of the unstructured data into structured data extraction of specific information, such as webpage search is a webpage for the smallest unit, based on the visual analysis in the webpage webpage block block is the smallest unit, while the vertical the search is based on structured data is the smallest unit. Then these data are stored into a database, for further processing, such as: weight, classification, the last word, index to search the way to meet the needs of users. The entire process, data from unstructured data into structured data extraction, after deep processing unstructured and structured way back to the user.

Microsoft Research Institute, a technical expert once said:" the 75% content using the search engine". Vertical search engines birth is to greatly improve the search" recall" and "precision". Vertical search engine based on the industry in the field of information model and user model structured collection or organization, and provide more and more professional, personalized industry related services.

Application direction

The application of vertical search engine direction, such as the enterprise library search, supply and demand information search, shopping search, property search, talent search, map search, MP3 search, image search ... ... Almost all walks of life, all kinds of information can be further refined into various types of vertical search engine. An example would be easier to understand, such as shopping search engine, the whole process is as follows: grab the webpage, the webpage commodity information extraction, extract the name of commodity, price, description ... ... Even can be further subdivided into " brand, notebook models, memory, hard disk, CPU, screen, ... ..." Then the information for cleaning, to heavy, classification, comparison and analysis, data mining, finally through the word index provide users to search, through the analysis of mining to provide market reports.

Technology

Vertical search engine generally requires the following technology

1 search engine spiders crawl the Internet: the relevant webpage

2 webpage structured information extraction or metadata acquisition technology from the webpage: extracting structured data

3 word segmentation, indexing: storage and index data

4 data shows: as the stored data are not simple webpage data, need to consider according to industry demand for display

5 other information processing technology

Vertical Search

Vertical search is an industry professional for a search engine, search engine breakdown and extension of certain types of web library of information for a specific integration of targeted sub-fields to extract the required data for processing and then to some form to the user. Relatively large amount of general search engine information, check is not accurate, deep enough and so on to the new search engine service model, by targeting a specific area of ​​a particular population or a particular needs of a certain value of information and related services. The feature is "specialized, sophisticated, deep," and has the color industry, compared with the general mass of information search engines disorder, vertical search engines are even more focused, specific and thorough.IntroductionVertical search engine is a relatively large amount of information on general search engines, query is not accurate, deep enough and so on to the new search engine service model, by targeting a specific area of ​​a particular population or a particular needs of a certain the value of information and related services. The feature is "specialized, sophisticated, deep," and has the color industry, compared with the general mass of information search engines disorder, vertical search engines are even more focused, specific and thorough.Edit this section vertical search engines and the difference between an ordinary Web searchVertical search engines and ordinary web search engine, the biggest difference is the structure of web information extraction of information, that is, unstructured web data extraction of structured information into a specific data, like Web search page for the smallest unit is , based on visual analysis is based on block web pages for the smallest unit of a block, and vertical search is the smallest unit of data structure. Data is then stored in the database, for further processing, such as: go to weight, classification, etc., the last word, the index and then to search for ways to meet the needs of users. Throughout the process, extract data from unstructured data into structured data, after processing through the depth of unstructured and structured manner the way back to the user. Microsoft Research, a technology expert once said: "75% of the content using the search engine does not come out." The birth of vertical search engines is the search for higher levels of the "recall rate" and "precision rate." Vertical search engines through the industry in the field of information model and user model structured to collect or re-organization, to provide more and more professional, personalized services industry.Edit this paragraph application directionPerpendicular to the direction of many search engine applications, such as Enterprise Library search, supply and demand information search engine, shopping search, property search, talent search, map search, mp3 search, image search ... almost all walks of life all kinds of information can be further refined into the type of vertical search engines. To give an example to illustrate would be easier to understand, such as shopping search engine, the overall process is as follows: crawls pages, the information collected on web product, extracted product name, price, Introduction ... ... Introduction to the laptop even further subdivided into "brand, model, CPU, memory, hard disk, display, ..." and then cleaned the information, go to weight, classification, analysis and comparison, data mining, the last word index provided by users to search, provided market conditions by analyzing the mining report.

Vertical Search

Vertical search is for a certain trade professional search engine, is the search segmentation and outspread, is the sort of web library a dedicated information integration, directional points field to extract data processing later returned to the user in some form. Relatively general search engine large amount of information, inquires the inaccurate, such as depth, not brought out a new search engine service mode, through a particular field, a particular people or a particular demand provide some valuable information and related services. Its characteristic is "designed, fine and deep", and has the profession colour, compared the universal search engine of the mass information disorder, vertical search engine appears more dedicated, specific and deeper.

introduction

Vertical search engines are relatively general search engine large amount of information, inquires the inaccurate, such as depth, not brought out a new search engine service mode, through a particular field, a particular people or a particular demand provide some valuable information and related services. Its characteristic is "designed, fine and deep", and has the profession colour, compared the universal search engine of the mass information disorder, vertical search engine appears more dedicated, specific and deeper.

Vertical search engine and ordinary web search difference

Vertical search engine and ordinary web search engine for the biggest difference is the web information structured information extraction, is also to the unstructured data extracting page into specific the structural information of data, such as web search based on web pages for minimum unit, based on visual web piece on web piece for the smallest analysis unit, and vertical search is structured data for the smallest unit. Then will the data stored in database, and further processing, such as: to heavy, classification, last word segmentation, the way to search index to meet the needs of your users. The whole process, data from the unstructured data extracting into structured data processing, after depth in unstructured way and structured way returned to the user.

Microsoft research a technical experts once said: "75% of content used search engines for not out". And the birth of a vertical search engine is to a greater degree to improve search "recall" and "precision". Vertical search engine based on the information in the industry field model and user model of structured collection or another organization, provide more and more professional and personalized related services.

Application direction

Vertical search engine application direction, such as enterprise library search many supply and demand information search engines, and shopping search, housing search, talent search, maps search, mp3 search, image search... Almost all walks of life all kinds of information can be further refined into various vertical search engine. For example to inaugurals easier to understand, such as shopping search engine, roughly as follows: the overall process, for the web page to grab after commodity information extraction, extract the name of commodity, price, profile... Can even further the notebook profile subdivided into "brand, model, CPU, memory, and hard drive, display,..." Then on information for cleaning, to heavy, classification, analysis and comparison, data mining, finally through participle index provides users search, through analyzing the market report. Shews

technology

Vertical search engine generally need the following technologies

1. The search engine crawler: grab Internet website

2. Web structured information extraction technology or yuan data collection technology: from web pages abstracted from structured data

3. Participles, index: storage and index data

4. Data show: because the data stored not simple web pages, you need to consider the data according to industry needs to display

5. Other information processing technology

Technology assessment

Vertical search engine technology assessment to judge from the following points

1. Sweeping

2. Update sex

3. Accuracy

4. The functional

Vertical search the entry threshold is low, but the threshold is very high competition. No dedicated spirit and exquisite technology is no good. Industry portal have industrial advantage but they are not technical advantage, absolutely don't imagine that recruit several people can handle all the technical, vertical search as a need to continuous improvement can run products instead of a project to run's technique control degree is vertical search success is one of the important factors.