Cross-language code retrieval is necessary in many real-world scenarios. A major
application is program translation, eg, porting codebases from an obsolete or deprecated …

Cross-language information retrieval (CLIR), finding information in one language in
response to queries expressed in another language, has attracted much attention due to the …

Learning to Rank (LTR) techniques use machine learning to rank documents. In this paper,
we propose a new LTR based framework for cross-language information retrieval (CLIR) …

We study a general multi-dueling bandit problem, where an agent compares multiple
options simultaneously and aims to minimize the regret due to selecting suboptimal arms …

This work explores the potential of leveraging the large amount of available code in open-
source repositories and community question-answering sites, collectively known as Big …

Abstract Information Retrieval (IR) has changed the way we access digital resources and
satisfy our daily information needs. Popular IR tools like Search Engines, Recommendation …