Dr Md Zia Ullah M.Ullah@napier.ac.uk
Lecturer
Query subtopic mining for search result diversification
Ullah, Md Zia; Aono, Masaki
Authors
Masaki Aono
Abstract
Web search queries are usually short, ambiguous, and contain multiple aspects or subtopics. Different users may have different search intents (or information needs) when submitting the same query. The task of identifying the subtopics underlying a query has received much attention in recent years. In this paper, we propose a method that exploits query reformulations provided by three major Web search engines (WSEs) as a means to uncover different query subtopics. In this regard, we estimate the importance of the subtopics by introducing multiple query-dependent and query-independent features, and rank the subtopics by balancing relevancy and novelty. Our experiment with the NTCIR-10 INTENT-2 English Subtopic Mining test collection shows that our method outperforms all participants' methods in NTCIR-10 INTENT-2 task in terms of D#-nDCG@10.
Citation
Ullah, M. Z., & Aono, M. (2014). Query subtopic mining for search result diversification. In 2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) (309-314). https://doi.org/10.1109/ICAICTA.2014.7005960
Conference Name | 2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) |
---|---|
Conference Location | Bandung, Indonesia |
Start Date | Aug 20, 2014 |
End Date | Aug 21, 2014 |
Online Publication Date | Jan 12, 2015 |
Publication Date | 2014 |
Deposit Date | Apr 5, 2023 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 309-314 |
Book Title | 2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) |
DOI | https://doi.org/10.1109/ICAICTA.2014.7005960 |
Keywords | subtopic mining, intent, diversification |
You might also like
Can we predict QPP? An approach based on multivariate outliers
(2024)
Conference Proceeding
Combining Word Embedding Interactions and LETOR Feature Evidences for Supervised QPP
(2023)
Conference Proceeding
Selective Query Processing: A Risk-Sensitive Selection of Search Configurations
(2023)
Journal Article
InnEO'Space PhD: Preparing Young Researchers for a successful career on Earth Observation applications
(2022)
Conference Proceeding
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search