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Item Metadata only Knowledge recommendation system : a case study of the faculty of information technology, Dhurakij Pundit University(Mahidol University. Mahidol University Library and Knowledge Center, 2011) Kingkan Chongarunngamseang; Panya Kaimuk; Worasit ChoochaiwattanaItem Metadata only A comparative study of book selling recommendation techniques(Mahidol University. Mahidol University Library and Knowledge Center, 2013) Patthama Saeting; Mingmanas Sivaraksa; Tanasanee Phienthrakul; Lalita Narupiyakulin Recommender System; Collaborative Filtering, Artificial Neural Network, and Decision Tree., for solving problems of book distribution and book recommendations for customers who would like to be bookstore owners by using a case study of book distribution from... cause errors as a result of several negative effects on businesses. Product distribution is a key problem in logistic system, such as how to manage inventory to satisfy customers need without affecting product quality. Therefore, it is essential to haveItem Metadata only Bioinformatics tool recommendation based on usage context evidences(Mahidol University. Mahidol University Library and Knowledge Center, 2024) Angkana Huang; Apirak Hoonlor; Ellison, Damon W.that the recovered patterns resemble the pipelines used in community. Lastly, the pipelines were queried into the recommendation models to obtain the community accepted best-practices. These analysis patterns and best-practices can be used to inform experts regarding.... The existing systems to ease tool discovery primarily attempts to index all the available tools according to their functionalities. Some of them provides the number of cites the tools received to indicate their popularity. The size of these lists have grownPublication Metadata only User Emotion Direction for Recommendation Systems-A Decade Review(2021-01-01) Suphitcha Chanrueang; Sotarat Thammaboosadee; Keng Goh; Hongnian Yu; Edinburgh Napier University; Mahidol UniversityRecommendation systems are rapidly gaining popularity in software development, including e-commerce, news, advertising, social networking, and entertainment. It filters appropriate information for user decisions. The most popular approaches... of recommendation systems are content-based and collaborative filtering-based, which are created as a model by using user preferences and providing recommendations. Additionally, the hybrid approach is proposed to improve recommendations typically by combiningPublication Metadata only Exploiting Long- and Short-Term Preferences for Deep Context-Aware Recommendations(2021-01-01) Tipajin Thaipisutikul; Timothy K. Shih; Avirmed Enkhbat; Wisnu Aditya; National Central University; Mahidol UniversityWith the tremendous growth in online information, capturing dynamic users' preferences based on their historical interactions and providing a few desirable items to users have become an urgent service for all businesses. Recurrent neural networks... (RNNs) and item-based collaborative filtering (CF) models are commonly used in industries due to their simplicity and efficiency. However, they fail to different contexts that could differently influence current users' decision-making. AlsoItem Metadata only Biological contamination-free Thai frozen food.(2007) Yaowalark Sukthana; Mahidol University. International College. Planning Research and Development Department.. Information gathering from this study suggested that protozoa are important biological hazard recovered not only from water system, but also from raw materials and final frozen food products. We recommended that the critical control points should be applied...The globalization of Free Trade Agreement (FTA) on food products increases the possibility of more extensive transmission of biological contamination. Hazard Analysis Critical Control Point (HACCP) system was introduced as a tool to prevent