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Daria Alexander, Wojciech Kusa, Arjen P. de Vries

2022Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval16 citationsDOIOpen Access PDF

Abstract

User intent classification is an important task in information retrieval. In this work, we introduce a revised taxonomy of user intent. We take the widely used differentiation between navigational, transactional and informational queries as a starting point, and identify three different sub-classes for the informational queries: instrumental, factual and abstain. The resulting classification of user queries is more fine-grained, reaches a high level of consistency between annotators, and can serve as the basis for an effective automatic classification process. The newly introduced categories help distinguish between types of queries that a retrieval system could act upon, for example by prioritizing different types of results in the ranking.

Topics & Concepts

Computer scienceInformation retrievalConsistency (knowledge bases)Ranking (information retrieval)Taxonomy (biology)Task (project management)Process (computing)Point (geometry)Artificial intelligenceManagementBotanyGeometryBiologyMathematicsOperating systemEconomicsInformation Retrieval and Search BehaviorTopic ModelingWeb Data Mining and Analysis
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