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http://dx.doi.org/10.3745/KIPSTB.2004.11B.5.537

Improving the Performance of Web Search using Query Types  

Kang, In-Ho (삼성종합기술원 Computing LAB)
An, Dong-Un (전북대학교 전자정보공학부)
Publication Information
The KIPS Transactions:PartB / v.11B, no.5, 2004 , pp. 537-544 More about this Journal
Abstract
The Web is rich with various sources of information. Due to the massive and heterogeneous web document collections, users want to find various types of target pages. Each type of information for Web search has designated queries. If a user query is not a designated query, then we cannot have good result documents. Different strategies are needed to utilize the goodness of each type of information for a search engine. If we know the property of information, then we can refine candidate pages and rank them delicately. Various experiments are conducted to show the properties of each type of information. Therefore, we show an appropriate combining formula to utilize the properties of each type of information. In addition, for a service finding task, we propose Service Link Information that utilizes the existence of mechanisms for a user interaction.
Keywords
Web Search; Site Search; Service Search; Query Type; Service Link Information; Information Search;
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