Abstarct- 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 costumers. This study aims to develop a prefence boundary-based procdure for recommending new items. The basis principle is that if a new item belongs within the prenference boundary of a taget customer, then it is evaluated to be preferred by the customer. The new item recommendation procedure is organized in the following two phases. He first phase defines each customer’s preference boundary; and the second phase decides the target customer set for recommending new items. In this research, customers’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 experiment results are compared, and discussions about the results are compared, and discussions about the results are also given with a further research opportunity. Keywords- Recommender System; Collaborative Filtering; Multimedia Contet; Personalization