earticle

논문검색

Telecommunication Information Technology (TIT)

User Review Prioritization Analysis using Metadata

초록

영어

With the advancement of Internet technology, online sales and purchases of products have become active. Along with this, the importance of user reviews is also being highlighted. Although user reviews are actively utilized for product sales and purchases, it is difficult to quickly and easily obtain useful information due to the abundance of user reviews. Therefore, prioritizing user reviews is a necessary service for customers that requires careful consideration. Metadata, which contains important information, can be effectively used to prioritize user reviews. However, it is crucial to select and use metadata appropriately according to the purpose. Lean Startup proposes a strategy of repeatedly correcting the problems of ideas or making early transitions to continue trying different approaches. In this paper, we propose a three-step method applying the Lean Startup process to analyze ways to prioritize user reviews using metadata: Build Priority, Measure Priority, Learn Priority.

목차

Abstract
1. Introduction
2. Lean Startup
3. Proposed Method
3.1 Build Priority
3.2 Measure Priority
3.3 Learn Priority
4. Conclusion
Acknowledgement
References

저자정보

  • Neung-Hoe Kim Assistant Professor, School of Software, Kunsan National University, Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.
      ※ 학술발표대회집, 워크숍 자료집 중 4페이지 이내 논문은 '요약'만 제공되는 경우가 있으니, 구매 전에 간행물명, 페이지 수 확인 부탁 드립니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.