Browsing by Author "Lin, Tzong-Shyan"

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A Framework of a Recommendation System Utilizing Expert Groups on a Social Network
(2011)
Lin, Tzong-Shyan
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Lin, Chun-Cheng
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工業工程與管理學系
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Department of Industrial Engineering and Management
A social network is used as a mechanism to link people together to solicit and relay recommendations from one another. However, in a large social network where most people would have hundreds of acquaintances and millions of people within the social network, relying solely on the recommendations obtained through a search that involves a significant number of people within a network, which may not be the most practical and economical option. A solution to this is to limit the number of people between two people within a social network, between the person soliciting a recommendation and a person potentially providing a recommendation. To compensate for the potential loss of recommendations as a result of the limit, a mechanism to compliment the recommendation system, known as expert groups. is created. Expert groups are a collection of people with a common expertise in a common knowledge area and a certain degree of like-mindedness. People within these expert groups can provide recommendations on issues within the common knowledge area. The proposed framework uses software agents to model the behavior of people when soliciting recommendations and providing recommendations.
Home Healthcare Matching Service System Using the Internet of Things
(2019-06-01)
Lin, Tzong-Shyan
;
Liu, Pei-Yu
;
Lin, Chun-Cheng
;
工業工程與管理學系
;
Department of Industrial Engineering and Management
Home healthcare services enable patients to live in an environment and amongst people that they are familiar with while receiving the healthcare that they need. To provide such an arrangement, readings from healthcare devices are collected and analyzed on a regular basis to determine healthcare services needed by patients, and then the services needed are matched with a limited number of healthcare professionals that are capable of providing the services needed. To meet these requirements, this work presents a home healthcare matching service system that enables patients to feel that the system is in charge of their healthcare while licensing requirements, legal requirements, and travel schedule restrictions of the healthcare professionals are met. Rather than just focusing on satisfying needs of healthcare providers or professionals, this system takes a balanced approach by satisfying preferences of the patients. In particular, patients are able to prioritize their specific preferences and the system will try to satisfy them as fully as possible rather than ignoring the patient preferences in its entirety when a feasible schedule for healthcare professionals cannot be scheduled while meeting patient preferences in its entirety.