Adaptive Algorithm for Interactive Question-Based Search
Popular web search engines tend to improve the relevance of their result pages,but the search is still keyword-oriented and far from understanding the queries meaning.In the article we propose an interactive question-based search algorithm that might come up helpful for identifying users intents.We describe the algorithm implemented in a form of a questions game.The stress is put mainly on the most critical aspect of this algorithm-the selection of questions.The solution is compared to broadly used decision trees learning algorithms in terms of knowledge inconsistencies tolerance,efficiency and complexity.
information retrieval semantic search decision trees
Jacek Rzeniewicz Julian Szyma(n)ski Wtodzislaw Duch
Department of Computer Systems Architecture,Gda(n)sk University of Technology,Poland Department of Informatics,Nicolaus Copernicus University,Toru(n),Poland
国际会议
7th IFIP TC 12 International Conference (第七届智能信息处理国际会议 (IIP 2012))
桂林
英文
186-195
2012-10-12(万方平台首次上网日期,不代表论文的发表时间)