Recommender models are hard to evaluate, particularly under offline setting. In this article,
we provide a comprehensive and critical analysis of the data leakage issue in recommender …

Recommendation has become a prominent area of research in the field of Information
Retrieval (IR). Evaluation is also a traditional research topic in this community. Motivated by …

In a practical recommender system, new interactions are continuously observed. Some
interactions are expected, because they largely follow users' long-term preferences. Some …

A key tool for describing and predicting events is survival analysis, which allows us to predict
not only the probability and time of events, but also the change in probability over time. This …

It is commonly believed that the “best practices” of empirical evaluations, as presented in the
recommender system literature, are often unclear. The methodology used to carry out the …

Один из ключевых инструментов для описания и предсказания возникновения событий—
-анализ выживаемости, который позволяет прогнозировать не только вероятность и …