"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops

2021/07/07 by Patrick John Chia, Chia, Patrick John, Bingqing Yu +3 · 1 citation
Computer Science · #Advanced Text Analysis Techniques #Data Visualization and Analytics #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Time Series Analysis and Forecasting

paper · pdf · doi:10.48550/arxiv.2107.03256

openalex publication_date 2021/07/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Large eCommerce players introduced comparison tables as a new type of recommendations. However, building comparisons at scale without pre-existing training/taxonomy data remains an open challenge, especially within the operational constraints of shops in the long tail. We present preliminary results from building a comparison pipeline designed to scale in a multi-shop scenario: we describe our design choices and run extensive benchmarks on multiple shops to stress-test it. Finally, we run a small user study on property selection and conclude by discussing potential improvements and highlighting the questions that remain to be addressed.

Citations

• Will the Global Village Fracture Into Tribes? Recommender Systems and Their Effects on Consumer Fragmentation
• A similarity measure for indefinite rankings
• Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons
• Recent Advances in Diversified Recommendation
• Inferring Networks of Substitutable and Complementary Products
• Barlow Twins: Self-Supervised Learning via Redundancy Reduction

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