Negative relevance feedback for exploratory search with visual interactive intent modeling
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A4 Artikkeli konferenssijulkaisussa
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Date
2017-03-07
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Language
en
Pages
11
149-159
149-159
Series
IUI 2017 - Proceedings of the 22nd International Conference on Intelligent User Interfaces
Abstract
In difficult information seeking tasks, the majority of topranked documents for an initial query may be non-relevant, and negative relevance feedback may then help find relevant documents. Traditional negative relevance feedback has been studied on document results; we introduce a system and interface for negative feedback in a novel exploratory search setting, where continuous-valued feedback is directly given to keyword features of an inferred probabilistic user intent model. The introduced system allows both positive and negative feedback directly on an interactive visual interface, by letting the user manipulate keywords on an optimized visualization of modeled user intent. Feedback on the interactive intent model lets the user direct the search: Relevance of keywords is estimated from feedback by Bayesian inference, influence of feedback is increased by a novel propagation step, documents are retrieved by likelihoods of relevant versus non-relevant intents, and the most relevant keywords (having the highest upper confidence bounds of relevance) and the most non-relevant ones (having the smallest lower confidence bounds of relevance) are shown as options for further feedback. We carry out task-based information seeking experiments with real users on difficult real tasks; we compare the system to the nearest state of the art baseline allowing positive feedback only, and show negative feedback significantly improves the quality of retrieved information and user satisfaction for difficult tasks.Description
Keywords
Difficult queries, Interactive exploratory search, Language model, Negative relevance feedback, Novelty in information retrieval, Presentation of retrieval results, Query intent, Query reformulation, Search interfaces, User intent model
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Citation
Peltonen, J, Strahl, J & Floréen, P 2017, Negative relevance feedback for exploratory search with visual interactive intent modeling . in IUI 2017 - Proceedings of the 22nd International Conference on Intelligent User Interfaces . ACM, pp. 149-159, International Conference on Intelligent User Interfaces, Limassol, Cyprus, 13/03/2017 . https://doi.org/10.1145/3025171.3025222