Over the last couple of decades, community question‐answering sites (CQAs) have been a
topic of much academic interest. Scholars have often leveraged traditional machine learning …

Modern service providers often have to deal with large amounts of customer requests, which
they need to act upon in a swift and effective manner to ensure adequate support is …

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 …

The need for collective intelligence in technology means that online Q&A platforms, such as
Stack Overflow and Reddit, have become invaluable in building the global knowledge …

Currently, many software companies are looking to assemble a team of experts who can
collaboratively carry out an assigned project in an agile manner. The most ideal members …

Abstract In Community Question Answering (CQA) websites, expert finding aims to seek
relevant experts for answering questions. The core of expert finding is to match candidate …

Stack Overflow offers valuable knowledge for software developers, but studies suggest
digital information tends to cluster geographically, limiting access to necessary knowledge …

In Community Question Answering (CQA) websites, expert finding aims at seeking suitable
experts to answer questions. The key is to explore the inherent relevance based on the …

Nowadays, organizations are seeking professionals who can both excel in their areas of
expertise and collaborate effectively across different disciplines. This demand has given rise …

Expert Finding is an important task in Community Question Answering (CQA) platforms,
which could help route questions to potential expertise users to answer. The key is to model …