Link Recommendation

Link recommendation aims to predict and suggest connections between entities, whether in software development (tracing artifacts), social networks (suggesting friendships), or business (identifying optimal locations for new branches). Current research focuses on improving recommendation accuracy through advanced algorithms, including those leveraging graph structures and incorporating user preferences like diversity seeking, and addressing challenges like delayed impacts and evolving user preferences. These advancements are crucial for enhancing software engineering efficiency, improving social network engagement, and optimizing business strategies, driving further development of sophisticated recommendation systems.