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.