What is a Fair Value of Your Recommendation List?

We propose a new quality metric for recommender systems. The main feature of our approach is the fact, that we take into account the set of requirements, which are important for business application of a recommender. Thus, we construct a general criterion, named “audience satisfaction”, which thoroughly describe the result of interaction between users and recommendation service. During the criterion construction we had to deal with a number of common recommenders’ problems: a) Most of users rate only a random part of the objects they consume and a part of the objects that were recommended to them; b) Attention of users is distributed very unevenly over the list of recommendations and it requires a special behavioral model; c) The value of the user’s rate measures the level of his/her satisfaction, hence these values should be naturally incorporated in the criterion intrinsically; d) Different elements may often dramatically differ from each other by popularity (long tail – short head problem) and this effect prevents accurate measuring of user’s satisfaction. The final metric takes into account all these issues, leaving opportunity to adjust the metric performance based on proper behavioral models and parameters of short head problem treatment

What is a Fair Value of Your Recommendation List?

We propose a new quality metric for recommender systems. The main feature of our approach is the fact, that we take into account the set of requirements, which are important for business application of a recommender. Thus, we construct a general criterion, named “audience satisfaction”, which thoroughly describe the result of interaction between users and recommendation service. During the criterion construction we had to deal with a number of common recommenders’ problems: a) Most of users rate only a random part of the objects they consume and a part of the objects that were recommended to them; b) Attention of users is distributed very unevenly over the list of recommendations and it requires a special behavioral model; c) The value of the user’s rate measures the level of his/her satisfaction, hence these values should be naturally incorporated in the criterion intrinsically; d) Different elements may often dramatically differ from each other by popularity (long tail – short head problem) and this effect prevents accurate measuring of user’s satisfaction. The final metric takes into account all these issues, leaving opportunity to adjust the metric performance based on proper behavioral models and parameters of short head problem treatment

Reflections on the EU objectives in addressing aggressive tax planning and harmful tax practices Final Report. CEPS Report November 2019

This Report analyses the EU’s instruments to tackle aggressive tax planning and harmful tax practices. Based on desk research, interviews with stakeholders and expert assessments, it considers the coherence, relevance, and added value of the EU’s approach. The instruments under analysis are found to be internally coherent and consistent with other EU policies and with the international tax agenda, in particular with the OECD/G20 BEPS framework. The Report also confirms the continued relevance of most of the original needs and problems addressed by the EU’s initiatives in the field of tax avoidance. There is also EU added value in having common EU instruments in the field to bolster coordination and harmonise the implementation of tax measures. One cross-cutting issue identified is the impact of digitalisation on corporate taxation. Against this background, the Report outlines potential improvements to the EU tax strategy such as: making EU tax systems fit for the digital era; leading the international debate on tax avoidance; enabling capacity building in Member States and developing countries; strengthening tax good governance in third countries; ensuring a consistent approach at home and abroad; achieving a level playing field for all companies; and increasing tax certainty and legal certainty

Enhancing the role of the voluntary and community sector - a case study of the Yorkshire and Humber Region

This report was commissioned by the Chief Executive of the National Offender Management Service (NOMS) to evaluate at ground level, using the Yorkshire and Humberside region as a case study, what is currently being achieved by the Prison and Probation Services in working with the Voluntary and Community Sector (VCS); and to identify and provide analysis of perceived barriers and make recommendations to improve the engagement of the sector

Spartan Daily, March 20, 1981

Volume 76, Issue 38https://scholarworks.sjsu.edu/spartandaily/6742/thumbnail.jp