A Study on Organizing Web Search Results
Date Issued
2005
Date
2005
Author(s)
Tsai, Ching-Hsiang
DOI
zh-TW
Abstract
With the rapid growth of the amount of Web pages and the number of users, the demand for powerful search engines is high. Existing commercial search engines are still fraught with some disadvantages. The ranked list of search result pages returned from a search engine is often long and mixed with some concepts that are relevant to the user’s query but hard to be identified. Web search results are actually lack of a well organization, which require users to pay attention on examining the retrieved pages and identifying the correct ones. Conventional research to dealing with this problem relied on using document/term clustering algorithms to handle search results. However, the clustered results are still lack of comprehensive explanations.
In this thesis, we develop a new search result organizing approach which contains some characteristics outperformed from the conventional approaches. First, it extracts important topic terms from search result pages and tries to provide a comprehensive overview for the search result. Second, the extracted topic terms are organized with the manner the user prefers. In fact, users’ preferences were seldom taken into account in previous research. With the proposed approach, it is able to extract important topic terms from Web search result snippets and organizes them with the topic classes defined by users. A series of experiments has been conducted and the obtained results show that the proposed approach can help users effectively browse the concepts embedded in the search result pages and easier to locate relevant pages.
Subjects
搜尋結果組織
分群技術
分類技術
World Wide Web
Search Result Organizing
Clustering
Classification
Type
other
File(s)![Thumbnail Image]()
Loading...
Name
ntu-94-R92725028-1.pdf
Size
23.31 KB
Format
Adobe PDF
Checksum
(MD5):e2f4fb378f14d67deb87384e99850552