Community question-answering (CQA) systems, such as Yahoo! Answers or Stack Overflow,
belong to a prominent group of successful and popular Web 2.0 applications, which are …

Purpose Software developers extensively use stack overflow (SO) for knowledge sharing on
software development. Thus, software engineering researchers have started mining the …

Abstract Community Question Answering is one of the valuable information resources which
provide users with a platform to share their knowledge. Finding potential experts in CQA is …

Directed graphs have been widely used in Community Question Answering services (CQAs)
to model asymmetric relationships among different types of nodes in CQA graphs, eg …

Expert finding has been well-studied in community question answering (QA) systems in
various domains. However, none of these studies addresses expert finding in the legal …

In recent years, studies on the user experience have emerged as an indispensable part of
any gamification research. The study of user experience enables gamification designers and …

Web 2.0 or social web applications such as online discussion forums, blogs and Wikipedia
have improved knowledge sharing by providing an environment in which users can …

This survey presents an overview of information retrieval, natural language processing and
machine learning research that makes use of forum data, including both discussion forums …

Modern software systems are increasingly including machine learning (ML) as an integral
component. However, we do not yet understand the difficulties faced by software developers …

We focus on detecting potential topical experts in community question answering platforms
early on in their lifecycle. We use a semi-supervised machine learning approach. We extract …