Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
3-2025
Abstract
While choosing among several products, users may look up reviews from each product they are considering. Due to the large number of reviews of products, selecting representative reviews from one product alone is already a challenging problem. In this work, we further aim to conduct review selection for multiple products simultaneously for comparative purposes. We formulate objective functions that synchronize the review selection and design efficient algorithms to optimize for the objective functions. To narrow down the potentially long list of comparison items into a shorter list of more similar items, we construct a graph representing items’ similarity and design efficient algorithms to find the heaviest ��-subgraph including the target item. The results are validated on real world datasets on various product categories.
Discipline
Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Proceedings 28th International Conference on Extending Database Technology (EDBT 2025): Barcelona, Spain, March 25-28
First Page
13
Last Page
24
City or Country
Barcelona, Spain
Citation
LE, Trung Hoang and LAUW, Hady Wirawan.
Selecting comparative sets of reviews across multiple items. (2025). Proceedings 28th International Conference on Extending Database Technology (EDBT 2025): Barcelona, Spain, March 25-28. 13-24.
Available at: https://ink.library.smu.edu.sg/sis_research/10150
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://openproceedings.org/2025/conf/edbt/paper-12.pdf