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Titlebook: Computational Collective Intelligence. Technologies and Applications; 4th International Co Ngoc-Thanh Nguyen,Kiem Hoang,Piotr Jȩdrzejowicz

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A Heuristic Method for Collaborative Recommendation Using Hierarchical User Profilesmon approach. In this paper a specific solution to profile recommendation is proposed, by use of knowledge integration methods. A hierarchical user profile is defined to represent the user. For each new user joining an information retrieval system, a prepared non-empty profile is assigned based on o
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Solving Conflict on Collaborative Knowledge via Social Networking Using Consensus Choiceme more and more essential for knowledge management systems. In this work, a method for solving conflict on collaborative knowledge via social networking using consensus choice is presented. A knowledge base can be considered as a pair .= (.) where . is an ontology and . is a set of instances of con
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Integrating Multiple Experts for Correction Process in Interactive Recommendation Systemsly, rating process is an important task in interactive RecSys which can ask users to correct their own ratings. However, in real world, there are many inconsistencies (e.g., mistakes and missing values) or incorrect in the user ratings. Thereby, expert-based recommendation framework has been studied
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Robust Human Detection Using Multiple Scale of Cell Based Histogram of Oriented Gradients and AdaBooems, image retrieval, and so on. This paper proposes a multiple scale of cell based Histogram of Oriented Gradients (HOG) features description for human detection system. Using these proposed feature descriptors, a robust system is developed according to decision tree structure of boosting algorithm
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