Summary of A Usage-centric Take on Intent Understanding in E-commerce, by Wendi Zhou et al.
A Usage-centric Take on Intent Understanding in E-Commerce
by Wendi Zhou, Tianyi Li, Pavlos Vougiouklis, Mark Steedman, Jeff Z. Pan
First submitted to arxiv on: 22 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper tackles the crucial challenge of identifying and understanding user intents in E-Commerce. The authors define intent understanding as a natural language reasoning task, independent of product ontologies, focusing on “how a customer uses a product”. They highlight two weaknesses in FolkScope, the state-of-the-art E-Commerce Intent Knowledge Graph: category-rigidity and property-ambiguity. These limitations hinder its ability to accurately align user intents with products and recommend suitable products across diverse categories. To address this, the authors introduce a Product Recovery Benchmark featuring a novel evaluation framework and an example dataset. They validate the FolkScope weaknesses on this benchmark. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us better understand what customers want when shopping online. Right now, there’s no clear way to figure out customer intentions, which makes it hard for businesses to recommend the right products or create profiles that help them make informed decisions. The authors are trying to change this by creating a new way to identify and understand user intents. They’re focusing on “how” customers use products rather than what they are. This helps overcome some limitations in current systems, like FolkScope, which can be too rigid or unclear. The authors also provide a new testing framework and dataset to help others improve their own systems. |
Keywords
» Artificial intelligence » Knowledge graph
