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Enhancement of Infrequent Purchased Product Recommendation Using Data Mining Techniques
[chapter]
2010
IFIP Advances in Information and Communication Technology
Recommender Systems (RS) have emerged to help users make good decisions about which products to choose from the vast range of products available on the Internet. Many of the existing recommender systems are developed for simple and frequently purchased products using a collaborative filtering (CF) approach. This approach is not applicable for recommending infrequently purchased products, as no user ratings data or previous user purchase history is available. This paper proposes a new
doi:10.1007/978-3-642-15286-3_6
fatcat:45ls2m3hprfhfaqxsu2od3iy3e