Finding experts is essential in Community Question Answering (CQA) platforms as it
enables the effective routing of questions to potential users who can provide relevant …

Most existing expert finding methods in Community Question Answering (CQA) websites
typically determine an expert's suitability for answering one question based on their past …

Abstract Expert Finding in Community Question Answering aims to recommend appropriate
experts to answer posted questions. However, existing approaches focus on exploiting …

The advent of online social networks (OSNs) has catalyzed the formation of novel learning
communities. Identifying experts within OSNs has become a critical component for …

In recommender systems, the retrieval phase is at the first stage and of paramount
importance, requiring both effectiveness and very high efficiency. Recently, generative …

Recent advances in Large Language Models (LLMs) have demonstrated promising
performance in sequential recommendation tasks, leveraging their superior language …

The increasing complexity and multidisciplinary nature of queries on Community Question
Answering (CQA) platforms have rendered the traditional model of individual expert …

Expert finding could help route questions to potential suitable users to answer in Community
Question Answering (CQA) platforms. Hence it is essential to learn accurate representations …

This paper introduces TUEF, a topic-oriented user-interaction model for fair Expert Finding in
Community Question Answering (CQA) platforms. The Expert Finding task in CQA platforms …

This paper underscores the pivotal role of high-quality paper reviews and their assignment
to reviewers, delving into the intricate process of reviewer selection. Employing a …