TY - GEN
T1 - Help me search
T2 - 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019
AU - Kuzi, Saar
AU - Pampari, Anusri
AU - Narwekar, Abhishek
AU - Zhai, Cheng Xiang
N1 - Funding Information:
We proposed and studied a novel strategy for improving the accuracy of difficult queries by having the search engine and the user collaboratively expand the original query. Evaluation with simulated users and a case study with real users show the great promise of this strategy. In future work, we plan to devise more methods for term scoring, incorporate more operations for query modification, and perform a large-scale user study. Acknowledgments. This material is based upon work supported by the National Science Foundation under grant number 1801652.
Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/7/18
Y1 - 2019/7/18
N2 - In this paper, we address the problem of difficult queries by using a novel strategy of collaborative query construction where the search engine would actively engage users in an iterative process to continuously revise a query. This approach can be implemented in any search engine to provide search support for users via a “Help Me Search” button, which a user can click on as needed. We focus on studying a specific collaboration strategy where the search engine and the user work together to iteratively expand a query. We propose a possible implementation for this strategy in which the system generates candidate terms by utilizing the history of interactions of the user with the system. Evaluation using a simulated user study shows the great promise of the proposed approach. We also perform a case study with three real users which further illustrates the potential effectiveness of the approach.
AB - In this paper, we address the problem of difficult queries by using a novel strategy of collaborative query construction where the search engine would actively engage users in an iterative process to continuously revise a query. This approach can be implemented in any search engine to provide search support for users via a “Help Me Search” button, which a user can click on as needed. We focus on studying a specific collaboration strategy where the search engine and the user work together to iteratively expand a query. We propose a possible implementation for this strategy in which the system generates candidate terms by utilizing the history of interactions of the user with the system. Evaluation using a simulated user study shows the great promise of the proposed approach. We also perform a case study with three real users which further illustrates the potential effectiveness of the approach.
UR - http://www.scopus.com/inward/record.url?scp=85073805845&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073805845&partnerID=8YFLogxK
U2 - 10.1145/3331184.3331362
DO - 10.1145/3331184.3331362
M3 - Conference contribution
AN - SCOPUS:85073805845
T3 - SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 1221
EP - 1224
BT - SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
PB - Association for Computing Machinery, Inc
Y2 - 21 July 2019 through 25 July 2019
ER -