Subjective Databases
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Abstract (arXiv)
Online users are constantly seeking experiences, such as a hotel with clean rooms and a lively bar, or a restaurant for a romantic rendezvous. However, e-commerce search engines only support queries involving objective attributes such as location, price, and cuisine, and any experiential data is relegated to text reviews. In order to support experiential queries, a database system needs to model subjective data and also be able to process queries where the user can express varied subjective experiences in words chosen by the user, in addition to specifying predicates involving objective attributes. This paper introduces Opine, a subjective database system that addresses these challenges. We introduce a data model for subjective databases. We describe how Opine translates subjective queries against the subjective database schema, which is done by matching the user query phrases to the underlying schema. We also show how the experiential conditions specified by the user can be combined and the results aggregated and ranked. We demonstrate that subjective databases satisfy user needs more effectively and accurately than alternative techniques through experiments with real data of hotel and restaurant reviews.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Feb 2019.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 3; 2024: 1; 2025: 1.
7 papers.
- 2023VerifAI: Verified Generative AIcited by 16
- 2023Product Question Answering in E-Commerce: A Surveycited by 10
- 2024Is the House Ready For Sleeptime? Generating and Evaluating Situational Queries for Embodied Question Answeringcited by 3
- 2022It's the Same Old Story! Enriching Event-Centric Knowledge Graphs by Narrative Aspectscited by 2
- 2023Towards Multi-Modal DBMSs for Seamless Querying of Texts and Tablescited by 1
- 2025Towards Temporal Knowledge-Base Creation for Fine-Grained Opinion Analysis with Language Modelscited by 1
- 2021Commonsense Knowledge Base Construction in the Age of Big Datacited by 0
- 2025Towards Temporal Knowledge-Base Creation for Fine-Grained Opinion Analysis with Language Models2 Sep 2025
- 2024Is the House Ready For Sleeptime? Generating and Evaluating Situational Queries for Embodied Question Answering8 May 2024
- 2023VerifAI: Verified Generative AI6 Jul 2023
- 2023Towards Multi-Modal DBMSs for Seamless Querying of Texts and Tables26 Apr 2023
- 2023Product Question Answering in E-Commerce: A Survey16 Feb 2023
- 2022It's the Same Old Story! Enriching Event-Centric Knowledge Graphs by Narrative Aspects8 May 2022
- 2021Commonsense Knowledge Base Construction in the Age of Big Data5 May 2021