Program of News Subscription Personalization

<p class="p1">This work is about the problem of personalization of information, existing approaches to create recommender systems, analysis and comparison algorithms personalization, as well as the implementation of a client-server program to create a personalized news feeds ( subscription) .</p><p class="p1">In the first part we will analyze the existing solutions and approaches personalization - collaborative filtering based on the model and the neighborhood, the method of matrix factorization and hybrid solutions . Given the specificity of a particular objects ( news ) will be a way to create a rating system .</p><p class="p1">The second part covers the specific implementation of various algorithms personalization architecture and technical features of the client-server system based on some sample algorithms and approaches. As a result , the program will create and display materials in the form of recommendation of news on the client side&nbsp;</p>