Applied Data Mining

CHAPTER 11

Recommendation Systems

Recommendation systems are important applications that are essential for

numerous business models. Recommendation systems suggest appropriate

items based on user preference and historical purchase data. These systems

are based on the principle that if users shared the same interests in the past,

they will, with high probability, exhibit similar behavior in the future. The

historical data that refl ect user preference may comprise explicit ratings,Web

click logs, or tags. Personalization is evidently an important factor in an

effective recommendation system. In this chapter, we will introduce the

basic concepts ...