Recommender systems
A framework for collaborative filtering recommender systems
... of recommender systems becomes more consolidated on the Net, an increasing need arises to develop some kind of evaluation framework for collaborative filtering measures and methods which is capable of not ...
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Contribution to proactivity in mobile context-aware recommender systems
... on recommender systems in the banking domain exist, and most on them is focused on recommending banking products to their ...a recommender system to build a correspondence between the relevance a ...
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Choice of Metrics used in Collaborative Filtering and their Impact on Recommender Systems
... of recommender systems to make correct predictions is essentially determined by the quality and suitability of the collaborative filtering that implements ...
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Application of imputation techniques in collaborative filtering based recommender systems
... Both strategies, the practical and the theoretical one, offer a different point of view on study- ing the problem. The first one focuses on imputation algorithms and recommendation algorithms from a theoretical point of ...
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Towards reliability in collaborative filtering recommender systems
... Several papers propose CF reliability measures based on the rating matrix and the KNN method; (Koren and Sill, 2011) predicts a full probability distribution of the expected item ratings, rather than only a single score ...
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Incorporating Group Recommendations to Recommender Systems: Alternatives and Performance
... Recommender Systems (RSs) collect information on the preferences of its users for a set of items (e.g., movies, songs, books, jokes, gadgets, applications, websites, travel destinations and e-learning ...
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Recommender systems based on linked data
... • The ReDyAl has been integrated into a mobile application developed in col- laboration with Telecom Italia. This application recommends movies based on DBpedia: when the user enters the title of a movie, the application ...
173
Improving Collaborative Filtering Based Recommender Systems Using Pareto Dominance
... A third group of work provides the foundation of the research to discover the most significant relationships between social information and collaborative processes, without creating, proposing or improving any particular ...
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ARLodge : Context aware recommender system based on augmented reality to assist on the accommodation search process
... and recommender systems are techniques that have been introduced to mobile computing in the last ...and recommender systems will help to overcome the above mentioned limitations while allow ...
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Learning object recommendation for teahcers creating lesson plans
... of recommender systems in technology enhanced learn- ing ...of recommender systems in e-Learning environments may also be highlighted, such as: Cazella [7] proposed the use of a ...
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Cascaded machine learning for increasing conversion in hospitality recommender system
... Recommender systems are not the only way to improve the conversion rate. Dynamic pricing strategies adjust the price and offers of products in real time to maximize the conversion [1, 70]. If the propensity ...
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A tourism recommender agent: From theory to practice
... on recommender systems [12]. This kind of systems can help people to find out what they want, especially on the ...these systems to take personal preferences into account, and to infer and ...
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MEIA SYSTEMS: Membrane Encrypted Information Applications Systems
... Apart from congruency we are interested in finding numbers with divisibility properties. These are really important in cryptography. In particular, numbers that are only divided by either number 1 or by themselves are ...
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Implementation of algorithms for radar real-time signals processing using a microprocessor based platform
... Not in all embedded system application is needed to include an operating system, even less common to include a real time operating system, the decision has to do with the complexity of the application, the need of finish ...
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MAIIND M ASTER IN A UTOMATION E NGINEERING AND I NDUSTRIAL I NFORMATICS
... of systems with a special emphasis in the development of industrial software that enable them to accomplish data exploitation, and process control and supervision ...
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Null controllable sets and reachable sets for nonautonomous linear control systems
... x 0 = A(ω·t) x + B(ω·t) u(t) , ω ∈ Ω , (1.2) where Ω is a compact metric space, σ : R × Ω → Ω, (t, ω) 7→ ω·t is a continuous flow, and the matrix-valued functions A : Ω → M n×n ( R ) and B : Ω → M n×m ( R ) are ...
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SYSTEMS OF NUMERATION.pdf
... In language, relatively few letters of the alphabet are used to construct a large number of words. Similarly, in arithmetic, a small variety of numerals can be used to represent all numbers. One of the greatest ...
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Movie recommender based on visual content analysis using deep learning techniques
... Another ethical aspect to take into consideration is that the algorithms absorb and learn what the people who program them teach them. In fact, they can promote the prejudices established in society because they learn ...
193
A Recommender System for Learning Objects on a Learning Management System: Implementation Experience
... Resumen—This paper aims to present the experience of imple- menting a recommender system for selecting learning objects (LO) for lessons through the Learning Management System (LMS) of Costa Rica Institute of ...
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1 Semantic metrics to compare clinical con- cepts
... The main objective of this project is to investigate a relatively new class of mechanisms aimed at enhancing user privacy in such popular recommen- dation systems. These mechanisms rely on the principle of data ...
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