A Short-Term Bookmarking System for Collecting User-Interest Data

摘要

During the shopping process, users typically narrow down their search to a small collection of products before making a final purchase. These data, consisting of products that users are considering purchasing, correlate strongly with user search intent and product desirability. By allowing users to bookmark products between browsing and purchasing, we collect user-interest information. We then propose a product recommendation algorithm based on these data. By considering both popular and long-tail queries, we shed light on the potential usage of the data.