E-SCIENCE '05 Proceedings of the First International Conference on e-Science and Grid Computing
Dogear: Social bookmarking in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
nReader: reading news quickly, deeply and vividly
CHI '06 Extended Abstracts on Human Factors in Computing Systems
The web beyond popularity: a really simple system for web scale RSS
Proceedings of the 15th international conference on World Wide Web
Client behavior and feed characteristics of RSS, a publish-subscribe system for web micronews
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
NectaRSS, an intelligent RSS feed reader
Journal of Network and Computer Applications
Designing a cross-channel information management tool for workers in enterprise task forces
Proceedings of the International Conference on Advanced Visual Interfaces
CiVicinity events: pairing geolocation tools with a community calendar
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications
Crowdsourcing in the enterprise
Proceedings of the 1st international workshop on Multimodal crowd sensing
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Feed readers have emerged as one of the salient applications that characterize Web 2.0. Lately, some of the available readers introduced social features, analogously to other Web 2.0 applications, such as recommendations and tagging. Yet, most of the readers lack collaborative features, such as the ability to share feeds in a community or divide the reading task among community members. In this paper we describe CoffeeReader, a web-based feed reader, which combines social and collaborative features, and is deployed in a small community within our company. CoffeeReader provides awareness of other users' feed lists and read status; it enables information sharing such as tags and recommendations; and aims to support coordination of filtering through feeds to locate important items. We compare these group collaboration features of CoffeeReader with emerging features in publicly available feed readers; present the outcomes of using CoffeeReader within our community; and discuss our findings and their implications on making feed readers more collaborative.