Веб-представительство компании: сущность и методы создания
Managing Intellectual Capital and Innovation for Sustainable and Inclusive Society: Proceedings of the MakeLearn and TIIM Joint International Conference 27–29 May 2015, Bari, Italy
We describe a new recommender system for the Russian interactive radio network FMhost. The underlying model combines collaborative and user-based approaches. The system extracts information from tags of listened tracks for matching user and radio station profiles and follows an adaptive online learning strategy based on user history. We also provide some basic examples and describe the quality of service evaluation methodology.
We describe a new recommender system for the Russian interactive radio network FMhost. The new recommender model combines collaborative and user-based approaches. The system extracts information from tags of listened tracks for matching user and radio station profiles and follows an adaptive online learning strategy based on user history. We also provide some basic examples and describe the quality of service evaluation methodology.
The article is devoted to some aspects of legal regulation of interactive activities in the network the Internet. The main emphasis was placed on particular elements of this category of legal relations, the content of the rights and duties of the participants, the time of their occurrence, the legal classification of trade in the network the Internet, the peculiarities of application of the norms of Russian and international law. At the same time special attention is paid to the electronic document as a law specific form of the document, getting particular importance in the context of the information society.
The article reviews the main events of the Third International Summer School on Cyber Law, organized by the Laboratory of information law (National Research University Higher School of Economics, Russia).
This year applications for participation in the summer school were submitted from the UK, Italy, Germany, Slovakia, Armenia, India, Belarus, Kyrgyzstan and from different cities of the Russian Federation. In the framework of the summer school the most current research trends in the field of information law and intellectual property law were touched, new problems and new issues were raised, and solutions were suggested. Among the guests of the summer school were representatives of IBM, Yandex, Google, MegaFon, Wargaming.net, Kaspersky lab, as well as professors of foreign universities.
Intense program of the summer school included a discussions on legal aspects of development and introduction of cognitive systems, legal regulation in the field of computer games, novelties of the Russian information legislation, relevant issues of telecommunication law and copyright, legal aspects of cyber security, as well as other important legal issues in IT/IP sphere.
Large attention of participants was paid to the problems of enforcing the new Russian legislation on the requirements to the information dissemination organizers on the Internet and popular bloggers. In light of enacting this legislation the questions of websites blocking were raised again. In the field of telecommunications law the issues of legal regulation of OTT-services were the most disputable. The legal aspects of the computer games industry which were discussed in the summer school include the issues of legal protection of computer games as objects of intellectual property, as well as the issues of e-commerce in the area of online computer games.
A special event in the framework of the summer school program was the master-class of foreign professors on how to write articles in English to international peer-reviewed journals.
Some Internet stores manage to charge prices that are significantly higher than market averages, therefore, obtaining some sort of price premium. This paper is dedicated to building a model that can be used to explain and predict a typical price premium that an Internet store charges for a specific product based on the information about the characteristics of the store and the features of the market for this product. Such models can provide support for pricing and assortment decisions: in particular, they allow detecting products that a store is likely to sell with the highest or the lowest markup based on price premia that are charged by stores with similar characteristics on similar markets.
I give the explicit formula for the (set-theoretical) system of Resultants of m+1 homogeneous polynomials in n+1 variables