Sociopolitical Situation in the Northeast Caucasus: Challenges to Nongovernmental Organizations

The authors provide a general analysis of the sociopolitical situation in three basic regions of the Northeast Caucasus, Chechnya, Ingushetia and Dagestan, from the perspective of practical action in the area of humanitarian and charitable activities there. These efforts are directed toward assisting the interaction and implementation of constructive programs on the level of international and nongovernmental organizations, as well as on the level of individual initiatives. Thus, the authors cite examples of organizations which have been successful in these initiatives. They also describe projects that may be implemented in the near future.Les auteurs fournissent une analyse générale de la situation socio-politique de trois régions cruciales du Nord-Est Caucasien: la Tchetchenie, l'Ingushetie, et Ie Dagestan, dans la perspective de l'action pratique en matière d'intervention charitable et humanitaire. Ces efforts sont dirigés vers une évaluation de l'interaction et de la mise sur pied de programmes constructifs au niveau des organisations internationales et nongouvernementales, autant qu'au niveau des initiatives individuelles. Les auteurs citent donc des exemples d' organisations ayant eu du succès dans la mise en place de telles initiatives. Ils decrivent aussi un certain nombre de projets en préparations

Combination of Content-Based User Profiling and Local Collective Embeddings for Job Recommendation

We present the approach to the RecSys Challenge 2017, which ranked 7th. The goal of the competition was to prepare job recommendations for the users of the social network for business Xing.com. Our algorithm consists of two di erent models: Content-based User Profiling and Local Collective Embeddings. The first content-based model contains many hand-tuned parameters and data insights, so it performs fairly well on the task of the challenge despite its simplicity. The second model is based on Matrix Factorization and may be applicable to a wide range of cold-start recommendation tasks. The combination of these two models have shown the best performance on local validation