17 articles for “Personalized Recommendation”

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Research ArticleOpen accessIn the abstractEnsemble Divide and Conquer Approach to Solve the Rating Scores’ Deviation in Recommendation SystemIsmail Ahmed Al-Qasem Al-Hadi, Nurfadhlina Mohd Sharef, Md Nasir Sulaiman, Norwati MustaphaThe rating matrix of a personalized recommendation system contains a high percentage of unknown rating scores which lowers the quality of the prediction. Besides, during data streaming into memory, some rating scores are misplaced from its appropriate cell in the rating matrix which also decrease the quality of the prediction. The singular value decomposition algorithm predicts the unknown rating scores … …Journal of Computer Science, Vol. 12, Issue 6 · 25 Jun 2016 · 7,701 accessesView PDF Cite

Research ArticleOpen accessIn the abstractUSER RECOMMENDATION ALGORITHM IN SOCIAL TAGGING SYSTEM BASED ON HYBRID USER TRUSTWong Pei Voon, Norwati Mustapha, Nasir SulaimanWith the rapid growth of web 2.0 technologies, tagging become much more important today to facilitate personal organization and also provide a possibility for users to search information or discover new things with Collaborative Tagging Systems. However, the simplistic and user-centered design of this kind of systems cause the task of finding personally interesting users is becoming quite out of … …Journal of Computer Science, Vol. 9, Issue 8 · 5 Jul 2013 · 7,550 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThe Design and Implementation of Parallel Digital Library Management SystemYang Yan, Li Jianzhong, Kan ZhongliangAs the number of documents in digital library grows, it becomes increasingly difficult to store, manage the large amount of documents and finding requested relevant documents by users. Parallel Digital Library management System (PDLS) is used for this purpose. PDLS is a general tool for building and managing digital libraries of all kinds of documents to meet user needs. It … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 7,284 accessesView PDF Cite

Research ArticleOpen accessIn the abstractInterest-based Recommendation in Digital LibraryYan Yang, Jian Zhong LiWith the huge amount and large variety of information available in a digital library, it’s becoming harder and harder for users to identify and get hold of their interested documents. To alleviate the difficulty, personalized recommendation techniques have been developed. Current recommendation techniques rely on similarity between documents. In our work, recommendations are made based on three factors: similarity between … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 7,011 accessesView PDF Cite

Research ArticleOpen accessIn the abstractWetland Ontology Modeling to Apply the Context-Aware Technology for Application Service EnvironmentJ. I. Gwi-Hwan, O. H. Ryum-DuckProblem statement: Due to recent advances in the IT industry, the importance of ontology has increased as a tool of knowledge representation at home or abroad for implementation of intelligent and personalized service system such as next generation semantic web environment and ubiquitous computing environment. But, although the importance of wetlands are being recognized, systematic management is still not enough … …Journal of Computer Science, Vol. 8, Issue 3 · 13 Jan 2012 · 6,970 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAn Application of Session Based Clustering to Analyze Web Pages of User Interest from Web Log FilesC. P. Sumathi, R. Padmaja Valli, T. SanthanamProblem statement: With the continued growth and proliferation of e-commerce, Web services and Web-based information systems, the volumes of click-stream and user data collected by Web-based organizations in their daily operations have reached astronomical proportions. Analyzing such data can help these organizations optimize the functionality of web-based applications and provide more personalized content to visitors. This type of analysis involved … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 6,877 accessesView PDF Cite

Review ArticleOpen accessAll words, across the recordHealthcare Driven by Big Data AnalyticsCheryl Ann Alexander, Lidong WangText messages and social network posts are often included in big data and are frequently invaluable sources of health data. When machine learning or data mining is used, it is important to perform an automatic process for integrating all available and related health data. Artificial Neural Network (ANN) is one of the machine learning methods flexible in using algorithms to … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 3 · 28 Sep 2018 · 7,398 accessesView PDF Cite