GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
The Journal of Machine Learning Research
Short and tweet: experiments on recommending content from information streams
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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New technology can reduce a developer's work. Yet, given how fast technology changes, it is close to impossible for a developer to stay aware of technological advances that might ease his work. In this paper, we propose an approach that increases the likelihood of a developer becoming aware of technology that might help him. Our approach uses a developer's interaction with the development environment to characterize a profile of the developer's use. This profile can then be used to find relevant posts on social news web sites. We use the votes on the social web sites as a means to filter and rank relevant information for the developer.