A product retrieval system robust to subjective queries
Source: International Journal of Product Lifecycle Management, Volume 3, Numbers 2-3, 27 November 2008 , pp. 151-164(14)
Publisher: Inderscience Publishers
Abstract:In this article, we propose a method for retrieving products that match users' search queries written in natural language. We use a large amount of product reviews written by consumers, in order to match those queries with products. Since reviews include a lot of valuable information which commerce service providers do not supply, by using these reviews our system can respond to a wide variety of users' requests, especially to subjective requests. If a review includes a description that coincides with the condition described in a user's query, the product to which the review refers is considered matching the query and is shown to the user. Using our proposed method, we implemented an accommodation retrieval system named 'Yado‐tan'. The result of our search experiments using natural language queries confirmed the retrieval capability of using our method.
Document Type: Research Article
Affiliations: 1: Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464 8601, Japan. 2: Information Technology Center, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464 8601, Japan
Publication date: 2008-11-27