2009 | OriginalPaper | Chapter
Reranking and Classifying Search Results Exhaustively Based on Edit-and-Propagate Operations
Authors : Takehiro Yamamoto, Satoshi Nakamura, Katsumi Tanaka
Published in: Database and Expert Systems Applications
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Search engines return a huge number of Web search results, and the user usually checks merely the top 5 or 10 results. However, the user sometimes must collect information exhaustively such as collecting all the publications which a certain person had written, or gathering a lot of useful information which assists the user to buy. In this case, the user must repeatedly check search results that are clearly irrelevant. We believe that people would use a search system which provides the reranking or classifying functions by the user’s interaction. We have already proposed a reranking system based on the user’s edit-and-propagate operations. In this paper, we introduce the drag-and-drop operation into our system to support the user’s exhaustive search.