際際滷shows by User: kazafchen / http://www.slideshare.net/images/logo.gif 際際滷shows by User: kazafchen / Tue, 01 Dec 2020 06:06:17 GMT 際際滷Share feed for 際際滷shows by User: kazafchen Android custom view: MultiPartProgressbar /slideshow/android-custom-view-multipartprogressbar/239639974 multipartprogressbartopdf-201201060617
Experience on develop a custom view feature]]>

Experience on develop a custom view feature]]>
Tue, 01 Dec 2020 06:06:17 GMT /slideshow/android-custom-view-multipartprogressbar/239639974 kazafchen@slideshare.net(kazafchen) Android custom view: MultiPartProgressbar kazafchen Experience on develop a custom view feature <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/multipartprogressbartopdf-201201060617-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Experience on develop a custom view feature
Android custom view: MultiPartProgressbar from Carter Chen
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Background processing after android O ft. WorkManager /slideshow/background-processing-after-android-o-ft-workmanager-120122623/120122623 backgroundprocessingafterandroidoft-181020122200
enjoy it :)]]>

enjoy it :)]]>
Sat, 20 Oct 2018 12:22:00 GMT /slideshow/background-processing-after-android-o-ft-workmanager-120122623/120122623 kazafchen@slideshare.net(kazafchen) Background processing after android O ft. WorkManager kazafchen enjoy it :) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/backgroundprocessingafterandroidoft-181020122200-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> enjoy it :)
Background processing after android O ft. WorkManager from Carter Chen
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Mealionaire: A context-aware and ontology-based mobile recommender system for personalized cuisine recommendation /slideshow/mealionaire-a-contextaware-and-ontologybased-mobile-recommender-system-for-personalized-cuisine-recommendation/65197847 uploaddoc-160821005616
The night markets and the small eats in Taiwan are famous all over the world, eating is the big thing in Taiwan. No matter what time is it, people here in Taiwan can go outdoors, accessing vendors and get something to eat. Although those food vendors and restaurants provide a great variety of fresh food for people to choose, people have a hard time to make decisions sometimes. In this study, we have proposed a mobile recommender system, which is called Mealionaire. The recommender system is context-aware, which means it can perceive the context around the user and the recommendations it produced will adapt to the context whenever the context changes. In addition, it also introduces ontology technologies to analyze the relations between the user, the restaurants and the dishes which are served by the restaurants, in order to provide tailored, personalized results for the user in real-time fashion. The evaluation results show that Mealionaire can provide high user satisfaction, and it is capable to solve the problems that users may face when they are looking for appropriate dishes to eat in their daily lives.]]>

The night markets and the small eats in Taiwan are famous all over the world, eating is the big thing in Taiwan. No matter what time is it, people here in Taiwan can go outdoors, accessing vendors and get something to eat. Although those food vendors and restaurants provide a great variety of fresh food for people to choose, people have a hard time to make decisions sometimes. In this study, we have proposed a mobile recommender system, which is called Mealionaire. The recommender system is context-aware, which means it can perceive the context around the user and the recommendations it produced will adapt to the context whenever the context changes. In addition, it also introduces ontology technologies to analyze the relations between the user, the restaurants and the dishes which are served by the restaurants, in order to provide tailored, personalized results for the user in real-time fashion. The evaluation results show that Mealionaire can provide high user satisfaction, and it is capable to solve the problems that users may face when they are looking for appropriate dishes to eat in their daily lives.]]>
Sun, 21 Aug 2016 00:56:15 GMT /slideshow/mealionaire-a-contextaware-and-ontologybased-mobile-recommender-system-for-personalized-cuisine-recommendation/65197847 kazafchen@slideshare.net(kazafchen) Mealionaire: A context-aware and ontology-based mobile recommender system for personalized cuisine recommendation kazafchen The night markets and the small eats in Taiwan are famous all over the world, eating is the big thing in Taiwan. No matter what time is it, people here in Taiwan can go outdoors, accessing vendors and get something to eat. Although those food vendors and restaurants provide a great variety of fresh food for people to choose, people have a hard time to make decisions sometimes. In this study, we have proposed a mobile recommender system, which is called Mealionaire. The recommender system is context-aware, which means it can perceive the context around the user and the recommendations it produced will adapt to the context whenever the context changes. In addition, it also introduces ontology technologies to analyze the relations between the user, the restaurants and the dishes which are served by the restaurants, in order to provide tailored, personalized results for the user in real-time fashion. The evaluation results show that Mealionaire can provide high user satisfaction, and it is capable to solve the problems that users may face when they are looking for appropriate dishes to eat in their daily lives. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/uploaddoc-160821005616-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The night markets and the small eats in Taiwan are famous all over the world, eating is the big thing in Taiwan. No matter what time is it, people here in Taiwan can go outdoors, accessing vendors and get something to eat. Although those food vendors and restaurants provide a great variety of fresh food for people to choose, people have a hard time to make decisions sometimes. In this study, we have proposed a mobile recommender system, which is called Mealionaire. The recommender system is context-aware, which means it can perceive the context around the user and the recommendations it produced will adapt to the context whenever the context changes. In addition, it also introduces ontology technologies to analyze the relations between the user, the restaurants and the dishes which are served by the restaurants, in order to provide tailored, personalized results for the user in real-time fashion. The evaluation results show that Mealionaire can provide high user satisfaction, and it is capable to solve the problems that users may face when they are looking for appropriate dishes to eat in their daily lives.
Mealionaire: A context-aware and ontology-based mobile recommender system for personalized cuisine recommendation from Carter Chen
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HOVO campus social website /slideshow/hovo-campus-social-website/65197727 random-160821004001
We design five major features to facilitate the students in our school to keep in touch with each other.]]>

We design five major features to facilitate the students in our school to keep in touch with each other.]]>
Sun, 21 Aug 2016 00:40:01 GMT /slideshow/hovo-campus-social-website/65197727 kazafchen@slideshare.net(kazafchen) HOVO campus social website kazafchen We design five major features to facilitate the students in our school to keep in touch with each other. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/random-160821004001-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> We design five major features to facilitate the students in our school to keep in touch with each other.
HOVO campus social website from Carter Chen
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Ontology development 101 /slideshow/ontology-development-101/41236041 ontologydevelopment101-141106201018-conversion-gate02
Reference, Noy, N. F., & McGuinness, D. L. (2001). Ontology development 101: A guide to creating your first ontology.]]>

Reference, Noy, N. F., & McGuinness, D. L. (2001). Ontology development 101: A guide to creating your first ontology.]]>
Thu, 06 Nov 2014 20:10:17 GMT /slideshow/ontology-development-101/41236041 kazafchen@slideshare.net(kazafchen) Ontology development 101 kazafchen Reference, Noy, N. F., & McGuinness, D. L. (2001). Ontology development 101: A guide to creating your first ontology. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ontologydevelopment101-141106201018-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Reference, Noy, N. F., &amp; McGuinness, D. L. (2001). Ontology development 101: A guide to creating your first ontology.
Ontology development 101 from Carter Chen
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https://cdn.slidesharecdn.com/profile-photo-kazafchen-48x48.jpg?cb=1725864115 github.com/CarterChen247 https://cdn.slidesharecdn.com/ss_thumbnails/multipartprogressbartopdf-201201060617-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/android-custom-view-multipartprogressbar/239639974 Android custom view: M... https://cdn.slidesharecdn.com/ss_thumbnails/backgroundprocessingafterandroidoft-181020122200-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/background-processing-after-android-o-ft-workmanager-120122623/120122623 Background processing ... https://cdn.slidesharecdn.com/ss_thumbnails/uploaddoc-160821005616-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/mealionaire-a-contextaware-and-ontologybased-mobile-recommender-system-for-personalized-cuisine-recommendation/65197847 Mealionaire: A context...