In recent years, the number of recommender systems used in online shops has strongly increased and is becoming an important success factor for electronic commerce applications. A recommender system can be utilized to suggest similar related or potentially interesting products for a given customer or a set of products for a marketing campaign. This paper shows how seasonal products can be identified and included in the recommendation process to improve the quality of a recommender system. The approach was tested using real life data from two companies selling working protection and tools.
Subjects: 1.10 Information Retrieval; 1.6 Engineering And Science
Submitted: May 9, 2007