Report on ACM SIGIR 2006 workshop on evaluating exploratory search systems

Authors:
Ryen W. White;Gheorghe Muresan;Gary Marchionini
Affiliations:
Microsoft Research, Redmond, WA;Rutgers University, New Brunswick, NJ;University of North Carolina, Chapel Hill, NC
Venue:
ACM SIGIR Forum
Year:
2006

Citing 5
Cited 7

Comparing interactive information retrieval systems across sites: the TREC-6 interactive track matrix experiment

Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Measures of relative relevance and ranked half-life: performance indicators for interactive IR

Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
An introduction to computerized experience sampling in psychology

Social Science Computer Review
Predicting query performance

SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction

Communications of the ACM - Supporting exploratory search

Uncovering deep user context from blogs

Proceedings of the second workshop on Analytics for noisy unstructured text data
Comparing fact finding tasks and user survey for evaluating a video browsing tool

MM '09 Proceedings of the 17th ACM international conference on Multimedia
Search-logger analyzing exploratory search tasks

Proceedings of the 2011 ACM Symposium on Applied Computing
Towards a living lab for information retrieval research and development: a proposal for a living lab for product search tasks

CLEF'11 Proceedings of the Second international conference on Multilingual and multimodal information access evaluation
How Do Users Search the Mobile Web with a Clustering Interface?: A Longitudinal Study

International Journal of Mobile Human Computer Interaction
Exploring exploratory search: a user study with linked semantic data

Proceedings of the 2nd International Workshop on Intelligent Exploration of Semantic Data
Exploratory search framework for Web data sources

The VLDB Journal — The International Journal on Very Large Data Bases

Quantified Score

Hi-index	0.00

Visualization

Abstract

Exploratory search systems (ESS) are designed to help users move beyond simply finding information toward using that information to support learning, analysis, and decision-making. The evaluation of the interactive systems designed specifically to help exploratory searchers is a challenging area, worthy of further discussion in the research community. In this article we report on a workshop conducted in conjunction with the ACM SIGIR Conference in Seattle, USA, in August 2006. The workshop involved researchers, academics, and practitioners discussing the formative and summative evaluation of ESS.