Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
ACM SIGIR Forum
Query type classification for web document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
An Editable Browser for Reranking Web Search Results
SWOD '07 Proceedings of the 2007 IEEE International Workshop on Databases for Next Generation Researchers
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
Reranking and Classifying Search Results Exhaustively Based on Edit-and-Propagate Operations
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
TermCloud for Enhancing Web Search
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
Multimedia search reranking: A literature survey
ACM Computing Surveys (CSUR)
Hi-index | 0.00 |
The conventional Web search has two problems. The first is that users' search intentions are diverse. The second is that search engines return a huge number of search results which are not ordered correctly. These problems decrease the accuracy of Web searches. To solve these problems, in our past work, we proposed a reranking system based on the user's search intentions whereby the user edits a part of the search results and the editing operations are propagated to all of the results to rerank them. In this paper, we propose methods of reranking Web search results that depend on the user's delete and emphasis operations. Then, we describe their evaluation. In addition, we propose a method to support deletion and emphasis by using Tag-Clouds.