Earticle

초록

영어

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’ 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’ 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.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1 Recommendation Systems
  2. 2 A New Item Recommendation
 3. METHODOLOGY
  3.1 Overall Procedure
  3.2 Representation of Preference Boundary
  3.3 Range of Preference Boundary
  3.4 Neighbor Formation
  3.5 Phase 1: Defining Each Customer’s Preference Boundary
  3.6 Phase 2: Finding Target Customers to Recommend New Items
 4. Experiment
  4.1 The Data Set
  4.2 Measures and Experimental Environment
  4.3 Results and Discussion
 5. Conclusions
 Acknowledgment
 References

저자

• Hyea Kyeong Kim [ School of Management, Kyunghee University ]
• Min Kyu Jung [ School of Management, Kyunghee University ]
• Moon Kyoung Jang [ School of Management, Kyunghee University ]
• Jae Kyeong Kim [ School of Management, Kyunghee University, ]

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