Web-based Product Recommendation System with Probability Similarity Measure확률 유사성척도를 활용한 웹 기반의 상품추천시스템
- Authors
- Choi, Sang Hyun; Ahn, Byeong Seok
- Issue Date
- Mar-2007
- Publisher
- 한국지능정보시스템학회
- Keywords
- Personalized Recommendation; Similarity Measure; Collaborative Ccommerce; Incomplete Information
- Citation
- 지능정보연구, v.13, no.1, pp 91 - 105
- Pages
- 15
- Journal Title
- 지능정보연구
- Volume
- 13
- Number
- 1
- Start Page
- 91
- End Page
- 105
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/30190
- ISSN
- 2288-4866
2288-4882
- Abstract
- This research suggests a recommendation system that enables bidirectional communications between the user and system using a utility range-based product recommendation algorithm in order to provide more dynamic and personalized recommendations. The main idea of the proposed algorithm is to find the utility ranges of products based on user specified preference information and calculate the similarity by using overlapping probability of two range values. Based on the probability, we determine what products are similar to each other among the products in the product list of collaborative companies. We have also developed a Web-based application system to recommend similar products to the customer. Using the system, we carry out the experiments for the performance evaluation of the procedure. The experimental study shows that the utility range-based approach is a viable solution to the similar product recommendation problems from the viewpoint of both accuracy and satisfaction rate.
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Collections - College of Business & Economics > School of Business Administration > 1. Journal Articles
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