Recommender system, Collaborative filtering
RESSIST: a research object-based recommender system
... The two primary areas of collaborative filtering are the memory-based methods, also known as neighbourhood-based, [17],[29] and model-based methods. Memory-based meth- ods are centered on computing the ...
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A Balanced Memory-Based Collaborative Filtering Similarity Measure.
... Collaborative filtering recommender systems contribute to alleviating the problem of information overload that exists on the Internet as a result of the mass use of Web ...the recommender ...
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ARLodge : Context aware recommender system based on augmented reality to assist on the accommodation search process
... the system assigns increased weights to ratings/content provided by tourists actually visiting a POI compared to ratings submitted by web ...defined system captures context-aware user evaluations and ...
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Application of imputation techniques in collaborative filtering based recommender systems
... As there are random elections in both, some of the imputation methods and the recommender system, several runs have been made to ensure obtaining representative results. From the initial complete datasets, ...
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Improving Collaborative Filtering Based Recommender Systems Using Pareto Dominance
... The frameworks aid in defining and standardizing the methods and algorithms employed by RS as well as the mechanisms to evaluate the quality of the results. Among the most significant papers that propose CF frameworks ...
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Choice of Metrics used in Collaborative Filtering and their Impact on Recommender Systems
... out collaborative filtering (CF) [7]: starting from the ratings expressed by a group of users about a group of items, the aim is to select users who have the most similar ratings or tastes to those of the ...
5
A framework for collaborative filtering recommender systems
... To date, various publications have been written which tackle the way the RS are evaluated, among the most significant we have Herlocker, Konstan, Riedl, and Terveen (2004) which reviews the key decisions in evaluating CF ...
15
Towards reliability in collaborative filtering recommender systems
... Reliability, or confidence (Shani and Gunawardana, 2011) is one of the most impor- tant issues of RS, yet still relatively few researches on this topic have been carried out. It measures how reliable the system ...
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Learning object recommendation for teahcers creating lesson plans
... Abstract.E-learning is one of the most popular and beneficial uses of the Internet today. However, it presents a problem known as the "information overload". Current systems of e-learning stored too many ...
10
Exploiting the semantic web to represent information from on line collaborative learning
... As can be seen in table 1, SIOC Core ontology includes classes relevant to our purpose of modeling data coming from collaborative learning sessions (e.g. discussion forums), such as Forum, Item, Post, Thread, and ...
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Images encryption system based on a fractional joint transform correlator and nonlinear filtering
... security system for image encryption based on a fractional joint transform correlator and nonlinear filtering is ...encryption system are related by a fractional Fourier transform (FrFT) at a given ...
7
A survey on automatic recommenders in the context of institutional repositories
... regular recommender systems are not directly transferable to the area of TEL (Verbert, ...TEL recommender systems rely on users’ profiles to gather additional information, as opposed to traditional ...
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Collaborative learning in the colombian educational system: a literature review
... Collaborative learning was applied in virtual classes, as it was shown in the previous ...in collaborative situations as opposed to when working ...
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Entanglement preservation by continuous distillation
... mal filtering or distillation procedure may result in an accel- erated loss rate of entanglement, the combination of filtering with maximal extractable entanglement and the distillation procedure produces a ...
5
Collaborative Flexible Manufacturing System Development Supported by PLM Tools Edición Única
... Design methodologies and engineering orders are the inputs to the detailed design in which the drives, actuators and specials mechanical devices (such as fixtures, clamping systems, etc) are developed (figure 5.9). After ...
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Collaborative Flexible Manufacturing System Development Supported by PLM Tools-Edición Única
... Design methodologies and engineering orders are the inputs to the detailed design in which the drives, actuators and specials mechanical devices (such as fixtures, clamping systems, etc) are developed (figure 5.9). After ...
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Field Tests with an Aerial-Ground Convoy System for Collaborative Tasks
... The main components of the ground station are the communications work- load and the Graphical User Interface (GUI). The ground station computer receives and sends data to Gaia through a RS-232 down-link and up-link, ...
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Filtering guide: filtering biomedical signals Matlab / David González Márquez
... The ANSI/AAMI standard in this case is to recommend a high-frequency cutoff of a least 150Hz for all standard 12-lead ECGs. For children this cutoff frequency should be extended to 250Hz in children. However, if the ECG ...
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Electronic voting system for computer supported collaborative learning
... With regards to persistence, an abstract data store has been created with which, and through the generic disk manager, it will be possible to model a bridge between the future application and its data in order to make ...
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Incorporating Group Recommendations to Recommender Systems: Alternatives and Performance
... in recommender systems include a study (Pu & Chen, 2007) on a new organization interface where results are grouped according to their tradeoff ...for recommender agents based on the Pareto algorithm ...
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