The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Re-ranking model based on document clusters
Information Processing and Management: an International Journal
Using web structure for classifying and describing web pages
Proceedings of the 11th international conference on World Wide Web
Evaluating contents-link coupled web page clustering for web search results
Proceedings of the eleventh international conference on Information and knowledge management
Re-ranking search results using query logs
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Sibling page search by page examples
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
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In this research, we propose a method of searching for minority information, which is less acknowledged and less popular, on the internet. We propose two methods to extract minority information. One is that of calculating relevance of content. The other is based on analogy expression. In this paper, we propose such a minority search system. At this time, we consider it necessary to search for minority information in which a user is interested. Using our proposed system, the user inputs a query which represents their interest in majority information. Then the system searches for minority information that is similar to the majority information provided. Consequently, users can obtain the new information that users do not know and can discover new knowledge and new interests.