Recommended collaborative filtering with annual schedule events considered
Lei Li · Computer Engineering and Applications Journal · 2010
Collaborative filtering is the recommendation technology which is applied most widely in the personalized recommendation system.However,existing collaborative filtering algorithms do not consider the relationship between the every year specific event and the user purchase behavior.For this reason,this paper presents a collaborative filtering algorithm considering the year schedule event.It introduces the time weight function,makes recommendation of the commodity which purchased by the consumer of close neighbor and which's purchased time is close to current user access time and belong to the same period to be higher.So the recommendation accuracy of collaborative filtering algorithms can be improved.