Title
User Simulations for Interactive Search: Evaluating Personalized Query Suggestion
Author
Verberne, S.
Sappelli, M.
Järvelin, K.
Kraaij, W.
Contributor
Hanbury, A. (editor)
Kazai, G. (editor)
Rauber, A. (editor)
Fuhr, N. (editor)
Publication year
2015
Abstract
In this paper, we address the question “what is the influence of user search behaviour on the effectiveness of personalized query suggestion?”. We implemented a method for query suggestion that generates candidate follow-up queries from the documents clicked by the user. This is a potentially effective method for query suggestion, but it heavily depends on user behaviour. We set up a series of experiments in which we simulate a large range of user session behaviour to investigate its influence. We found that query suggestion is not profitable for all user types. We identified a number of significant effects of user behaviour on session effectiveness. In general, it appears that there is extensive interplay between the examination behaviour, the term selection behaviour, the clicking behaviour and the query modification strategy. The results suggest that query suggestion strategies need to be adapted to specific user behaviours.
Subject
ICT
DSC - Data Science
TS - Technical Sciences
Infostructures
Informatics
Information Society
Academic search
Interactive search
Query suggestion
User simulations
User interaction
To reference this document use:
http://resolver.tudelft.nl/uuid:ec19fa5b-3c2b-4fcc-b2f4-d9657ded2ded
DOI
https://doi.org/10.1007/978-3-319-16354-3_75
TNO identifier
745683
Publisher
Springer International Publishing, Gaithersburg, MD, US
Source
ECIR 2015: Advances in Information Retrieval, 678-690
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Document type
conference paper