Visualizing User Model in Exploratory Search Tasks

Kalle Ilves, Alan Medlar, Dorota Glowacka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present our ongoing work on an interactive exploratory information retrieval system designed to explain to the user the reasons for its predictions and help the user to build a mental model to predict how the system will behave. Users indicate which documents interest them and reinforcement learning is used to model the user by allowing the system to trade off between exploration and exploitation.
Original languageEnglish
Title of host publicationProceedings of The 4th Workshop on Machine Learning for Interactive Systems at ICML 2015
EditorsHeriberto Cuayáhuitl, Nina Dethlefs, Lutz Frommberger, Martijn Van Otterlo, Olivier Pietquin
Place of PublicationLille, France
PublisherPMLR
Pages46-47
Number of pages2
Volume43
Publication statusPublished - 1 Nov 2015

Publication series

NameProceedings of Machine Learning Research
PublisherPMLR

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