Preference Boundary-based Approach for Recommending New Items

Min Kyu Jung; Hyea Kyeong Kim; Moon Kyoung Jang; Jae Kyeong Kim
March 2011
International Proceedings of Economics Development & Research;2011, Vol. 5 Issue 1, p304
Academic Journal
When new items are released, it is necessary to promote these items. In this situation, a recommender system specializing in new items can help item providers find potential customers. This study aims to develop a preference boundary-based procedure for recommending new items. The basic principle is that if a new item belongs within the preference boundary of a target customer, then it is evaluated to be preferred by the customer. The new item recommendation procedure is organized in the following two phases. The first phase defines each customer's preference boundary, and the second phase decides the target customer set for recommending new items. In this research, customer' preferences and item characteristics including new items are represented in a feature space. And the scope of boundary of the target customer's preference is extended to those of neighbors'. Furthermore, compared to existing recommender systems, the suggested procedure aims to find target customers for the new released items. Diverse algorithms are suggested for the procedure, and their effectiveness scores are measured and compared through a series of experiments with a real mobile image transaction data set. The experiment results are compared, and discussions about the results are also given with a further research opportunity.


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