The NoTube Beancounter: Aggregating User Data for television Programme Recommendation
作者： Y. Raimond , L.M. Aroyo , V. Buser , L. Miller , M. Mostarda
DOI:
关键词: World Wide Web 、 Work (electrical) 、 Focus (computing) 、 Reuse 、 Social web 、 Key (cryptography) 、 Multimedia 、 Work in process 、 Computer science 、 Remote control 、 Context modelling
摘要: In this paper we present our current experience of aggregating user data from various Social Web applications and outline several key challenges in area. The work is based on a concrete use case: reusing activity streams to determine viewer’s interests generating television programme recommendations these interests. Three system components are used realise goal: (1) an intelligent remote control: iZapper for capturing viewer activities cross-context environment; (2) backend: BeanCounter aggregation the different social web applications; (3) recommendation engine: iTube recommending relevant programmes . focus as first step apply context modelling Web. This progress NoTube project.
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