[hal-01077986] User Engagement as Evaluation a Ranking or a Regression Problem?

In this paper we describe the winning approach used on the RecSys Challenge 2014 which focuses on employing user en-gagement as evaluation of recommendations On one hand we regard the challenge as a ranking problem and apply the LambdaMART algorithm which is a listwise model special-ized in a Learning To Rank approach On the other hand after noticing some specific characteristics of this challenge we also consider it as a regression problem and use pointwise regression models such as Random Forests We compare how these different methods can be modified or combined to improve the accuracy and robustness of our model and we draw the advantages or disadvantages of each approach



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