Based On Network Information Retrieval Technology Information Filtration Method Applied Research

Currently, the use of Web search engines to find, they need to get some information, Many Internet users have become the usual moves. Of these, undoubtedly the most frequently used comprehensive search of some famous sites such as GOOGLE, Baidu, Yahoo and other search sites. These sites is by virtue of its powerful global search ability is always in the forefront of website traffic ranking. Sometimes in order to solve some paradoxical problems, many users also search through such sites and access to relevant reference information. Their use of the Internet to obtain sufficient information, the network activity has become an indispensable content. It can be said, the network information retrieval and filtering technology has become inseparable from the basic technology of many Internet users.The face of hundreds of millions of large groups of users on its individual, its retrieve information, obtain the required content is inevitably show different and diverse features. GOOGLE, Baidu, Yahoo and other search sites for comprehensive changes in the needs of users, constantly improving their search technology, improve their search capabilities, thereby enhancing the visibility and usefulness of the site itself, in order to enhance the stability of access to site traffic. However, no matter how they improve the technology, its technical guidelines must be constantly looking for the common needs of many users, which are always considered to start from the macro, which is bound to the individual needs of users, can not be taken into account. Therefore, some search area is not wide, but the search depth is high enough specialized search software have come into being. Such as:heart information search software, network information gathering experts, business information search king, bee collector, train collector, and so on.This paper is to explore the demand for individual users, from some very special network of professional positions in the face of difficulties starting the use of separate rather than consolidated information collection technology (software) to realize the network of specialized information retrieval, filtering, crawl rapidity, accuracy, comprehensiveness and automation.