Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom

We introduce a re-ranking model that augments the functionality of standard search engines to aid classroom search activities for children (ages 6–11). This model extends the known listwise learning-to-rank framework by balancing risk and reward. Doing so enables the model to prioritize Web resources of high educational alignment,...

BERT Rankers are Brittle: A Study using Adversarial Document Perturbations

Contextual ranking models based on BERT are now well established for a wide range of passage and document ranking tasks. However, the robustness of BERT-based ranking models under adversarial inputs is under-explored. In this paper, we argue that BERT-rankers are not immune to adversarial attacks targeting retrieved documents given a query....

Robust Algorithm for Signal Digital Detection on the Background of Non-Gaussian Passive Interferences

This paper proposes generalized mathematical model of different passive interferences and develops an effective algorithm of digital signal processing for detection on the background of them. Models of interferences as random process of K-distribution is used with parametrization for the unwanted reflections from atmosphere, land, and sea....

Benchmarks for evaluating the progress of open data adoption usage, limitations, and lessons learned

Evaluatie en validatie Ranking systeem

Ranking-systeem voor reders in de zeescheepvaart

Rankingsysteem voor reders in de zeescheepvaart

Rankingsysteem van reders in het bezit van zeeschepen die onder Nederlandse vlag varen