Year: 2019
Type: conference-paper
Abstract: The paper proposes the framework for auto-generation of the customer questions to help customers make choice of the best products based on their needs. The task of the optimal search organisation from millions of products is crucial for e-commerce systems. We propose the approach based on the following stages: the web-scraping stage of products reviews sites, pre-processing stage to detect key-phrases based on TextRank algorithm and POS-tagging, the subjective probabilities estimation stage to detect questions estimations and their ranking based on TextRank algorithm and Bayesian rule.
Author: Yu Yu Dyulicheva
Institution: V.I. Vernadsky Crimean Federal University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2992616433