With the expansion of the internet, many specialized, high-profile sites have become available that bring very technical subject matter to readers with non-technical backgrounds. While the theme of these sites may be of interest to these readers, the posts themselves may contain terms that non-experts may be unfamiliar with and may wish to know more about. We developed PLEDS, a personalized entity detection system which identifies interesting entities and provides related information for individual users by mining web logs and query logs. The experimental results of a systemic user study shows that with PLEDS's aid, users can experience the benefits of an enriched internet surfing experience.