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Titlebook: User Modeling, Adaptation, and Personalization; 20th International C Judith Masthoff,Bamshad Mobasher,Roger Nkambou Conference proceedings

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Monika Mandl,Alexander Felfernigcs Not only has developed into a major field of research but also has found important applications in optical systems that require control and modulation of laser beams. Since lasers generally operate at a fixed wavelength or narrow range of wavelengths, one important application of nonlinear optics
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Cataldo Musto,Fedelucio Narducci,Pasquale Lops,Giovanni Semeraro,Marco de Gemmis,Mauro Barbieri,Jan e several of the high points in the study of this representation. We will first analyze cases in which the representation decomposes into distinct irreducible representations (one calls . in this case), give the most important class of such spaces (symmetric spaces), and determine the decomposition
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Ingrid Nunes,Simon Miles,Michael Luck,Carlos J. P. de Lucenas, after all, was a time when the East India Company, following the Mughal Emperor Shah Alam Il’s bestowal of . in 1765, was transformed from a trading body into a significant regional military and political power. A chartered company of merchants with a minimum of supervision suddenly found itself
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Luiz Augusto Pizzato,Joshua Akehurst,Cameron Silvestrini,Kalina Yacef,Irena Koprinska,Judy Kayan Ellis argues, the sentimental novel was a means of moulding the emotions of the reader, as well as addressing urgent political issues of the time, such as social injustice and slavery. The sentimental novel’s articulation of such concerns was an attempt to reformulate social attitudes to inequali
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Preference Relation Based Matrix Factorization for Recommender Systemscollaborative recommendation algorithm that considers preference relations. Experimental results show that the proposed method is able to achieve better recommendation accuracy over the compared baseline methods.
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Personalized Network Updates: Increasing Social Interactions and Contributions in Social Networks feeds. Results of a live analysis show that our approach successfully identifies and promotes relevant feed items, with the knock-on effects of increasing interaction between users and the contribution of user generated content.
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