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Recommender systems play an important role in reducing the negative impact of information overload on those websites where users have the possibility of voting for their preferences on items. The most normal technique for dealing with the recommendation mechanism is to use collaborative filtering, in which it is essential to discover the most similar users to whom you desire to make recommendations. The hypothesis of this paper is that the results obtained by applying traditional similarities measures can be improved by taking contextual information, drawn from the entire body of users, and using it to calculate the singularity which exists, for each item, in the votes cast by each pair of users that you wish to compare. As such, the greater the measure of singularity result between the votes cast by two given users, the greater the impact this will have on the similarity. The results, tested on the Movielens, Netflix and FilmAffinity databases, corroborate the excellent behaviour of the singularity measure proposed. 相似文献
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Emilia B. Halac María Reinoso Marcelo Luda Fernando Marte 《Journal of Cultural Heritage》2012,13(4):469-473
The painting Proas Iluminadas (Illuminated Bows) by Benito Quinquela Martín is studied by Raman spectroscopy in order to analyse the technique and the pigments employed by the artist: ultramarine blue, carbon black, cadmium-sulphure based compounds for the hue of yellow, orange and red; also zinc white, barium yellow, massicot yellow and viridian were observed. The importance of using different excitation laser lines in the analysis of mixtures of pigments is highlighted. The Raman mapping analysis of cross section samples shows the way the artist composed the ground layer: a lead white stratum over a calcite one. It also allows distinguishing between a mixture of components and strata superposition, both presenting the same appearance under an optical microscope. This paper provides information about the materials and techniques used in a period of Argentine art not studied before from this point of view. 相似文献
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This study investigated how interaction with peers influenced the ways students managed uncertainty during collaborative problem solving in a 5th-grade class. The analysis focused on peer responses to individuals’ attempts to manage uncertainty they experienced while engaged in collaborative efforts to design, build, and program robots and achieve assignment objectives. Patterns of peer response were established through discourse analysis of work sessions for 5 teams engaged in 2 collaborative projects. Three socially supportive peer responses and 2 unsupportive peer responses were identified. Peer interaction was influential because students relied on supportive social response to enact most of their uncertainty management strategies. This study provides a useful theoretical contribution to understanding the roles of peer interaction in collaborative problem solving. Conceptualizing collaborative problem solving as a process of negotiating uncertainties can help instructional designers shape tasks and relational contexts to facilitate learning. 相似文献
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Eric Cesar E. Vidal Jr. Jayzon F. Ty Nicko R. Caluya Ma. Mercedes T. Rodrigo 《Interactive Learning Environments》2013,21(7):895-907
ABSTRACTWe present Mobile Augmented-Reality Games for Instructional Support (MAGIS), a framework for the development of mobile augmented-reality (AR) games for education. The framework supports off-the-shelf, state-of-the-art technologies that enable AR tracking and rendering on consumer-level mobile devices, and integrates these technologies with content-generation tools that simplify the development of educational AR games, especially those that extensively use narrative-based game design and player-location tracking such as location-based historical or museum adventure games. We use Igpaw: Intramuros, a proof-of-concept game developed using MAGIS, to help describe the current state of the framework and to show its efficacy for implementing outdoor location-based educational games, and we briefly outline future development plans to improve MAGIS’ AR support (especially those involving indoor scenarios) as well as to improve the instructional design and authoring phases of AR applications written using this framework. 相似文献
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