近年來區塊鏈技術日趨成熟，開始進入結合各種應用的階段，其中以太坊與智能合約的應用最廣為人知，智能合約雖然名稱有「智能」，但實際上仍只是將生活中的合約電子化與自動化，離所謂的智能還有一段距離。
在長照領域會需要為照護端與被照護端制定合約，其中涉及提供服務與金流，雖然往往會有定型化合約可以簽訂，但其實照護端與被照護端會有各種不同狀況，若能依據不同狀況來制定不同合約則可以讓雙方有更好的使用者經驗。
本研究之目的在於提出一套針對長照場域的合約推薦系統，並產出所推薦的智能合約使合約的履行有更好的體驗。長照合約內容往往是獨立沒有關聯性的，並且條約彼此具有互斥或階層關係，因此傳統上計算特徵相似度的推薦系統難以對長照合約進行推薦。
本研究主要採用的方式是以使用者過去對條約的評分紀錄作為分析對象，計算出偏好以及需求趨勢，得知使用者對於條約的偏好以及對未來的期望，進而了解到使用者對過去的不滿與對未來的需求，雖然過去推薦的合約可能有缺陷，但卻能根據這些經驗做修正並為下次推薦更適合的合約。

In recent years, the blockchain technology has matured and has begun to enter the stage of combining itself with various applications. Among them, Ethereum and smart contracts is the most widely known.
In the case of long-term care, it will be necessary to formulate a contract for the care giver and the patients, which involve the provision of services and financial flows. There are various situations between the giver and the patients, and a contract may not take into account all the conditions. Through make different contracts based on different situations, it may be possible for both parties to have a better user experience.
The purpose of this research is to propose a recommendation system for long-term care, it is very difficult to extract features for a long-term care contract, so commonly used recommendation systems are not suitable for this research.
In order to find out user preferences and demand trends. The goal is to understand users’ dissatisfaction with the past services then anticipate their needs for the futures. Although the contracts recommended in the past may be flawed, the recommendation system proposed in this research can make corrections based on these experiences and recommend a more suitable contract for the next time.

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