Collaborative feed reading in a community

作者: Netta Aizenbud-Reshef , Ido Guy , Michal Jacovi

DOI: 10.1145/1531674.1531716

关键词:

摘要: Feed readers have emerged as one of the salient applications that characterize Web 2.0. Lately, some available introduced social features, analogously to other 2.0 applications, such recommendations and tagging. Yet, most lack collaborative ability share feeds in a community or divide reading task among members. In this paper we describe CoffeeReader, web-based feed reader, which combines is deployed small within our company. CoffeeReader provides awareness users' lists read status; it enables information sharing tags recommendations; aims support coordination filtering through locate important items. We compare these group collaboration features with emerging publicly readers; present outcomes using community; discuss findings their implications on making more collaborative.

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