Abstract
With the massive data on the Web, it is an issue of great concern that how to improve the precision effectively and put the most relevant results first. Order-sensitive retrieval in search engine (OSRSE) facilitates users with more relevant search results and improves the precision since it restricts the keyword order by using wildcard to filter some irrelevant pages. OSRSE extends the query predicate and can handle user's query as 'A*B'. It gets the user's query and searches in its extended inverted files to find the relevant results satisfying the keyword order limitation. Finally, it outputs the result ranked by their relevance to the given keyword and the limitation. Through experiments, OSRSE is proved to be effective and can be easily implemented in existing system by extending data structure and making extra search processing.
Original language | English |
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Pages (from-to) | 1615-1622 |
Number of pages | 8 |
Journal | Journal of Computational Information Systems |
Volume | 3 |
Issue number | 4 |
Publication status | Published - Apr 2007 |
Externally published | Yes |
Keywords
- Inverted File
- Order Limitation
- Relevance
- Search Engine
- Wildcard