A product retrieval system robust to subjective queries
Kenji Sugiki, Shigeki Matsubara · International Journal of Product Lifecycle Management · 2008
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.