Sciweavers

Share
CIKM
2008
Springer

SHOPSMART: product recommendations through technical specifications and user reviews

11 years 3 months ago
SHOPSMART: product recommendations through technical specifications and user reviews
This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products. We first learn a model that can predict the price of a product given automatically-determined features describing technical specifications and users' opinions. We then use this model to rank a list of products based on individual users' preferences about various features. On a data set collected from Amazon reviews and online technical specifications, rankings produced by this model rank the best product for a user in the 87th percentile of products in its category, on average. Our approach outperforms several comparison systems by 21 percentiles or more.
Alexander Yates, James Joseph, Ana-Maria Popescu,
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where CIKM
Authors Alexander Yates, James Joseph, Ana-Maria Popescu, Alexander D. Cohn, Nick Sillick
Comments (0)
books