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New adaptive browserless system improves web price extraction accuracy

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new adaptive browserless system for extracting price data from e-commerce websites. This system combines HTML fragmentation with syntactic, semantic, and frequency rules, enhanced by a Bayesian approach for dynamic rule weighting and a genetic algorithm for parameter optimization. The hybrid method significantly improves precision from 77.2% to 87.3% and reduces processing time by approximately 14% compared to baseline methods, offering a cost-effective and accurate alternative to browser-based or LLM-based solutions. AI

IMPACT This research offers a more efficient and accurate method for price extraction, potentially benefiting e-commerce analytics and market monitoring tools.

RANK_REASON The cluster contains an academic paper detailing a new implementation and evaluation of a web price extraction system. [lever_c_demoted from research: ic=2 ai=0.4]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New adaptive browserless system improves web price extraction accuracy

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The cluster contains an academic paper detailing a new implementation and evaluation of a web price extraction system. [lever_c_demoted from research: ic=2 ai=0.4]
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Evgeniia Kositsyna, Jorge Lloret-Gazo ·

    Web Price Extraction: State of the Art and an Adaptive Browserless Implementation

    arXiv:2609.01030v1 Announce Type: cross Abstract: Price extraction from websites is a key task for market monitoring, price comparison, and business analytics in e-commerce. Existing approaches can be broadly divided into four groups, and understanding their trade-offs in accurac…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jorge Lloret-Gazo ·

    Web Price Extraction: State of the Art and an Adaptive Browserless Implementation

    Price extraction from websites is a key task for market monitoring, price comparison, and business analytics in e-commerce. Existing approaches can be broadly divided into four groups, and understanding their trade-offs in accuracy and scalability is essential for selecting suita…

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