Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2021
Abstract
In this paper, we study the ��-impact region problem (mIR). In a context where users look for available products with top-�� queries, mIR identifies the part of the product space that attracts the most user attention. Specifically, mIR determines the kind of attribute values that lead a (new or existing) product to the top-�� result for at least a fraction of the user population. mIR has several applications, ranging from effective marketing to product improvement. Importantly, it also leads to (exact and efficient) solutions for standing top-�� impact problems, which were previously solved heuristically only, or whose current solutions face serious scalability limitations. We experiment, among others, on data mined from actual user reviews for real products, and demonstrate the practicality and efficiency of our algorithms, both for mIR and for standing top-�� impact problems
Keywords
Top-�� query, Multi-dimensional datasets, Market analysis
Discipline
Databases and Information Systems | Data Storage Systems
Research Areas
Data Science and Engineering
Publication
Proceedings of 2021 ACM SIGMOD International Conference on Management of Data, SIGMOD, Xi'an, China, June 20-25
First Page
1784
Last Page
1796
ISBN
9781450383431
Identifier
10.1145/3448016.3452832
Publisher
ACM
City or Country
China
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.