Using collaborative queries to improve retrieval for difficult topics

Authors:
Xin Fu;Diane Kelly;Chirag Shah
Affiliations:
University of North Carolina at Chapel Hill, Chapel Hill, NC;University of North Carolina at Chapel Hill, Chapel Hill, NC;University of North Carolina at Chapel Hill, Chapel Hill, NC
Venue:
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2007

Citing 3
Cited 3

The effect multiple query representations on information retrieval system performance

SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine

User Modeling and User-Adapted Interaction
Accurately interpreting clickthrough data as implicit feedback

Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

Understanding system implementation and user behavior in a collaborative information seeking environment

Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Role-based results redistribution for collaborative information retrieval

Information Processing and Management: an International Journal
3rd international workshop on collaborative information retrieval (CIR2011)

Proceedings of the 20th ACM international conference on Information and knowledge management

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe a preliminary analysis of queries created by 81 users for 4 topics from the TREC Robust Track. Our goal was to explore the potential benefits of using queries created by multiple users on retrieval performance for difficult topics. We first examine the overlap in users' queries and the overlap in results with respect to different queries for the same topic. We then explore the potential benefits of combining users' queries in various ways. Our results provide some evidence that having access to multiple users' queries can improve retrieval for individual searchers and for difficult topics.