Adaptive Algorithm for Interactive Question-Based Search

Abstract : 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.
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Communication dans un congrès
Zhongzhi Shi; David Leake; Sunil Vadera. 7th International Conference on Intelligent Information Processing (IIP), Oct 2012, Guilin, China. Springer, IFIP Advances in Information and Communication Technology, AICT-385, pp.186-195, 2012, Intelligent Information Processing VI. 〈10.1007/978-3-642-32891-6_24〉
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Jacek Rzeniewicz, Julian Szymański, Włodzisław Duch. Adaptive Algorithm for Interactive Question-Based Search. Zhongzhi Shi; David Leake; Sunil Vadera. 7th International Conference on Intelligent Information Processing (IIP), Oct 2012, Guilin, China. Springer, IFIP Advances in Information and Communication Technology, AICT-385, pp.186-195, 2012, Intelligent Information Processing VI. 〈10.1007/978-3-642-32891-6_24〉. 〈hal-01524978〉

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