@article{oai:fit.repo.nii.ac.jp:00000676,
 author = {Chao, ZENG},
 issue = {2},
 journal = {福岡工業大学研究論集, RESEARCH BULLETIN OF FUKUOKA INSTITUTE OF TECHNOLOGY},
 month = {Mar},
 note = {application/pdf, 論文(Article), The World-Wide Web is a large distributed hypertext system on the internet. As the size of the system increases so rapidly the users, who find information by following hypertext links, must traverse increasingly more links to find what they are looking for. Finding information on the Web becomes a very difficult and time-consuming for users. Many pre-computed index based(AltaVista, Lycos, WebCrawler¹⁰>) and on-line(WebCrawler¹⁰>, Fish-Search²· ³>, NET­kumo¹⁴· ¹⁵>) Web searching tools have been discussed and implemented. In this paper, in order to improve the search effectiveness of on-line search systems, we introduce the concept of keywords separation which considers the user's given keywords as two different types: the first type contains those to be used to check the relevance of documents and the second type, which is attached to some keywords of the first type, contains the keywords which are used as heuristics to lead the search to more relevant next links. An implementation of keywords separation technique to our on-line Web search system NETkumo, stated in our previous papers¹⁴· ¹⁵>, is described.},
 pages = {249--255},
 title = {Web Search Improvement with Keywords Combination},
 volume = {30},
 year = {1998}
}