Network search engine and intelligent agent technology

Source: Internet
Author: User
Keywords Search

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Absrtact: This paper analyzes the principles of search engine and intelligent agent technology, and probes into the significance of both the present and future network information retrieval. Intelligent Agent Search engine intelligent Information retrieval




The rapid development and maturation of the internet in the world has prompted the rapid expansion of information in all areas of society, which provides a rich source of information for people to find and obtain useful information, but also challenges the accurate positioning of information. The retrieval of Internet resources is one of the important contents of network information Service, and modern people also put forward more and more requirements for the correctness and comprehensiveness of information grasping, so it is urgent to develop the network information retrieval tool with superior performance.
In the 1993, after the first batch of search engine was born, the development has been gradually maturing, along with the development of computer intelligence research, intelligent agent technology with adaptability and learning characteristics is also transitioning from experimental stage to practical application. At present, search engine (searching engine) and intelligent agent (intelligent agent) have become the key technology and core idea of network information search.




1 development of search engine technology




1.1 Search Engine Technology




At present, network information retrieval technology is the most important search engine technology, search engine is actually a dedicated WWW server, can be said to be a class of web sites on the Internet, such sites and the general site is different, its main job is to collect thousands of Web sites and web information, composed of a huge index database. Using a good search engine can achieve a multiplier effect. At present, there are more than 3,000 kinds of search engines on the network, we are more familiar with the site of the Chinese search engine to provide Sina, Sohu, Yahoo, sneered and Chinese excite.




Generally speaking, the search engine mainly takes two ways to realize the retrieval of the network information resources, one is to use the Classification topic directory form, the website carries on the tree classification, the link website must belong at least one kind of category, forms resembles the library catalog same Classification topic directory, Users browse through these directories to find their own content, using this search engine has Yahoo, Sohu and so on, because of the use of experts to induce and classify, for information navigation brought great convenience, but this way in the classification and catalog collation requires a large number of human The second is to use the keyword matching method, its processing object is mainly text, it can set up a large number of documents by word (word) to the index of the document library, on the basis of which users use keywords to search the Web page, the system will show that the search word for all sites, web pages and news and other matching information. Keyword search can solve the Web page details of the search problem, as long as the user input keywords, the system through the spider robot automatically in the selected range of search, and the retrieved information automatically marked into the index database, matching the scope of the test page, you can get the results of the search.




1.2 Search engine using information retrieval technology and its insufficiency




At present, the information retrieval technology used by search engine mainly includes: robot technology, indexing technology, translation technology, conversion technology, filtration technology, database technology, result processing technology and so on. Search engine's biggest advantage is: The information coverage is big, the information is novel, moreover to the search result correlation arrangement, the search engine has ranked its high correlation search result to arrange in front. However, due to the restriction of the intelligent level of information retrieval technology used by search engines and the restriction of natural language understanding, there are many deficiencies in the retrieval of network information. There are several main aspects.




(1) Now the search engine mainly through the robot of all or part of the content of the Web page download to the database, because many of the pages downloaded is useless or temporary information, both affect the speed of retrieval, but also increased the user's search burden.




(2) As search engines are generally used keyword search methods, but in many cases, it is difficult for users to simply use the keyword or key words between the group to accurately express the real needs of the information content, the expression of difficulties caused by difficulty in retrieval.




(3) The coverage of each engine is quite limited. The study found that no search engine indexed more than 1/6 of the total page.




(4) The results of the search are imprecise. The accuracy of the search results is determined by the relevance of the query Word to the Web page, and it is often possible to enter a single query word to return tens of thousands of results or 0 results.




2 Intelligent Agent Technology
2.1 Intelligent Agent
Intelligent agent is also called the intelligent Body, is the new achievement of artificial intelligence research, it is in the case that the user does not have explicit specific request, according to the user needs, replaces the user to carry on each kind of complex work, like the information inquiry, the screening and the management, and can speculate the user's intention, the independent formulation, the adjustment and the implementation Intelligent, is an advanced, complex automatic processing agent software. Intelligent agent can be applied to a wide range of fields, it is a hot topic in the field of artificial intelligence, it is applied to the field of information retrieval, and it becomes one of the important technologies of developing intelligent and personalized information retrieval.




2.2 Characteristics of Intelligent agent




① Intelligence. With a wealth of knowledge and a certain degree of reasoning ability to speculate on the user's intentions, and can handle complex difficult tasks, the user's needs can be analyzed to receive, automatically reject some unreasonable or may bring harm to the user requirements, but also from the experience of continuous learning ability, appropriate self-regulation, improve the ability to deal with problems.




② Agent. In the functional is a user of some kind of proxy, it can replace the user to complete some tasks, and the results of the active feedback to the user.




③ Mobility. Can roam to any target host on the network, and carry on the information processing operation on the target host, finally return the result set to the starting point, and can move with the computer user's movement.




④ Initiative. According to the user's needs and environment changes, the initiative to users to report and provide services.




⑤ collaboration. Through various communication protocols and other agents to exchange information, and can coordinate with each other to complete complex tasks.




3 combination of search engine technology and intelligent agent technology




Search engine and intelligent agent technology have their own advantages and disadvantages, the combination of these two technologies will be to develop a new generation of more powerful online information search system to provide a vast world. The intelligent agent mainly integrates the client's special environment, completes the search with the user interest. It identifies, induces and summarizes the user's information needs and preferences, analyzes the interests and interests of users, and automatically and independently proxies users to find information of interest through learning good rules. Combining search engine with intelligent agent technology is the inevitable trend of establishing new retrieval mode.




3.1 Server-side personalized service Introduction




In the server to absorb the idea of intelligent agent technology, the introduction of personalized and humanistic service ideas. The user feedback mechanism is introduced to perfect the retrieval mechanism, to improve the hit rate, and to provide special retrieval service for individuals. This way can be implemented through the account system, that is, for each user to provide an account (similar to personal mailbox), to record the user's query trail, so that when the user again log in conjunction with the previous user retrieval records to cooperate with the provision of related retrieval services. This model embodies the characteristics of personalized service, for users to query information can be directly extracted from the user's database, to avoid duplication of inquiries. In addition, the user's feedback is tracked to obtain the user's evaluation of the results, thus improving the quality of the search. The natural language development of the retrieval entrance will help to optimize the retrieval interface and improve the humanization of the interface.




3.2 The development of client intelligent agent Technology




Based on Intelligent search Agent technology, combined with search engine "theme-oriented" search mode, in the close attention to individual needs, improve information and user needs related systems, each other through a unified transmission protocol to communicate, exchange information, so that more information can be excavated to make up for the limited information search scope of intelligent agent defects. This model fully utilizes the Intelligent search Agent's fluidity, the interaction, the intelligence characteristic, simultaneously absorbs the search engine's topic related thought, has provided the new pattern for the High-quality information personalized retrieval service.




The combination of the search engine technology and the intelligent Agent technology in the network information retrieval is huge, so it is important to realize the advantages of the combination of the two, and to study and improve the machine learning and correlation analysis. In the era of knowledge economy, people increasingly need personalized information to provide, as the forefront of network information retrieval technology, intelligent agent technology will be favored by the vast number of users, I believe its development prospects are very broad.

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