IntentStreams
Author:
Affiliation:
1. University of Helsinki, Helsinki, Finland
2. University of Helsinki & Aalto University, Helsinki, Finland
3. Aalto University & University of Tampere, Espoo, Finland
4. Aalto University, Helsinki, Finland
Funder
Tekes
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2678025.2701401
Reference34 articles.
1. Visual information seeking
2. Adaptive visualization for exploratory information retrieval
3. Adaptive Visualization of Search Results: Bringing User Models to Visual Analytics
4. Using confidence bounds for exploitation-exploration trade-offs;Auer P;Journal of Machine Learning Research,2002
5. What is browsing - really? a model drawing from behavioural science research;Bates M. J;Inf. Res.,2007
Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Directing and Combining Multiple Queries for Exploratory Search by Visual Interactive Intent Modeling;Human-Computer Interaction – INTERACT 2021;2021
2. Introduction to Bandits in Recommender Systems;Fourteenth ACM Conference on Recommender Systems;2020-09-22
3. Bandit algorithms in recommender systems;Proceedings of the 13th ACM Conference on Recommender Systems;2019-09-10
4. Query Morphing: A Proximity-Based Approach for Data Exploration;From Natural to Artificial Intelligence - Algorithms and Applications;2018-12-12
5. Query Morphing: A Proximity-Based Data Exploration for Query Reformulation;Computational Intelligence: Theories, Applications and Future Directions - Volume I;2018-08-01
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