What are mobile developers asking about? a large scale study using stack overflow
C Rosen, E Shihab - Empirical Software Engineering, 2016 - Springer
The popularity of mobile devices has been steadily growing in recent years. These devices
heavily depend on software from the underlying operating systems to the applications they …
heavily depend on software from the underlying operating systems to the applications they …
EnTagRec ++: An enhanced tag recommendation system for software information sites
Software engineers share experiences with modern technologies using software information
sites, such as Stack Overflow. These sites allow developers to label posted content, referred …
sites, such as Stack Overflow. These sites allow developers to label posted content, referred …
Tag recommendation in software information sites
Nowadays, software engineers use a variety of online media to search and become
informed of new and interesting technologies, and to learn from and help one another. We …
informed of new and interesting technologies, and to learn from and help one another. We …
A personalized hashtag recommendation approach using LDA-based topic model in microblog environment
With wide use of cloud computing technologies, microblog is used more widely for services
providing more personal communities by user information sharing, dissemination and …
providing more personal communities by user information sharing, dissemination and …
# nowplaying music dataset: Extracting listening behavior from twitter
The extraction of information from online social networks has become popular in both
industry and academia as these data sources allow for innovative applications. However, in …
industry and academia as these data sources allow for innovative applications. However, in …
Scalable tag recommendation for software information sites
Software developers can search, share and learn development experience, solutions, bug
fixes and open source projects in software information sites such as StackOverflow and …
fixes and open source projects in software information sites such as StackOverflow and …
Is deep learning better than traditional approaches in tag recommendation for software information sites?
Context Inspired by the success of deep learning in other domains, this new technique been
gaining widespread recent interest in being applied to diverse data analysis problems in …
gaining widespread recent interest in being applied to diverse data analysis problems in …
Hashtag recommendation approach based on content and user characteristics
Twitter has become a popular microblogging service that allows millions of active users
share news, emergent social events, personal opinions, etc. That leads to a large amount of …
share news, emergent social events, personal opinions, etc. That leads to a large amount of …
On the impact of text similarity functions on hashtag recommendations in microblogging environments
Microblogging applications such as Twitter are experiencing tremendous success.
Microblog users utilize hashtags to categorize posted messages which aim at bringing order …
Microblog users utilize hashtags to categorize posted messages which aim at bringing order …
TagDC: A tag recommendation method for software information sites with a combination of deep learning and collaborative filtering
Software information sites (eg, StackOverflow, Freecode, etc.) are increasingly essential for
software developers to share knowledge, communicate new techniques, and collaborate …
software developers to share knowledge, communicate new techniques, and collaborate …