نتایج جستجو برای: customized search engine
تعداد نتایج: 358454 فیلتر نتایج به سال:
Following rapid expansion of huge Agriculture information body on the Web, the efficient Agriculture information gathering on specified top becomes more and more important in search engine research. Through the statement of the developing trend of search engine and sharing agriculture information resource, this paper discusses the necessity of building search engine for agriculture information....
More and more people use the Internet to work on duties of their daily work routine. To find the right information online, Web search engines are the tools of their choice. Apart from finding facts, people use Web search engines to also execute rather complex and time consuming search tasks. So far search engines follow the one-for-all approach to serve its users and little is known about the i...
It is necessary to perform a literature review before starting a new research project. However, many students do not know the procedures of performing a literature review. In this paper, based on the professional experiences and opinions of expert researchers, we describe an SNS-based literature review system to help students conduct research surveys. This system includes two search engines, on...
There are many technical problems that exist in communities other than our own. These problems both deserve our attention and require focused research. We present one example: the TEK Search Engine. TEK is an email-based search engine designed to deliver lowbandwidth information to low-connectivity communities.
In this paper we illustrate how Internet documents can be automatically analyzed in order to capture the content of a document in a more detailed way than usually The result of the document analysis is called abstract and will be used as a linguistic search index for the Internet search engine GETESS We show how the linguistic analysis system SMES can be used for a Harvest based search engine f...
The performances of general and Arabic search engines were compared based on their ability to retrieve morphologically related Arabic terms. The findings highlight the importance of making users aware of what they miss by using the general engines, underscoring the need to modify these engines to better handle Arabic queries.
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