Usage Context-based Object Recommendation

摘要

In this paper, we present a new way of discovering semantic relations between items by comparing their usage contexts in online portals. This way, we do not need to consider the content of the items to find semantic similarities. Additionally, we explore the use of these usage context-based similarities for enhancing recommender systems.