Since the COVID-19 pandemic hit the world, academic institutions have quickly turned all
educational activities into an internet-assisted online system. This study aimed to gain …

More and more people read the news online, eg, by visiting the websites of their favorite
newspapers or by navigating the sites of news aggregators. However, the abundance of …

The CLEF NewsREEL challenge is a campaign-style evaluation lab allowing participants to
evaluate and optimize news recommender algorithms. The goal is to create an algorithm …

News recommendations distinguishes from general content recommendations as it takes in
consideration news freshness, sparsity, monotony and time. Recent works approach these …

Abstract 2019 marks the 20^ th birthday for CLEF, an evaluation campaign activity which has
applied the Cranfield evaluation paradigm to the testing of multilingual and multimodal …

Successful news recommendation requires facing the challenges of dynamic item sets,
contextual item relevance, and of fulfilling non-functional requirements, such as response …

A/B testing is currently being increasingly adopted for the evaluation of commercial
information access systems with a large user base since it provides the advantage of …

Abstract 2024 marks the 25 th birthday for CLEF, an evaluation campaign activity which has
applied the Cranfield evaluation paradigm to the testing of multilingual and multimodal …

News recommender systems provide users with access to news stories that they find
interesting and relevant. As other online, stream-based recommender systems, they face …

Recommending news articles is a challenging task due to the continuous changes in the set
of available news articles and the contextdependent preferences of users. Traditional …