본문 바로가기
[학술대회자료]

  • 학술대회자료

Sang Hyun Choi Byeong Seok Ahn

표지

북마크 0

리뷰 0

이용수 18

피인용수 0

초록

This research suggests a recommendation system which 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 system is based on an interactive procedure for recommending similar ones among the products of the collaborative companies that share the product taxonomy table. The main idea of the proposed procedure is using a multi-attribute utility theory to find the utility ranges of products in the same product class of the companies. Based on the values, we determine what products are similar to each other. The similar product recommendation system is a Web-based application system running on a PC. 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.

목차

Abstract
Introduction
Prior Research on Similarity Measure for Recommendations
Similar Product Recommendation Problems and Process
System Implementation
Experimental Study
Conclusion and Future Research Directions
References

참고문헌(0)

리뷰(0)

도움이 되었어요.0

도움이 안되었어요.0

첫 리뷰를 남겨주세요.
Insert title here