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- W2401666504 abstract "Recommendations within a network do affect, and get affected by, the information flow and the social connections within the network. Thus, designing a network-centric recommender system requires understanding people’s preferences, their social connections, as well as the characteristics of the network they inhabit. This creates a major challenge in research on network-centric recommendations—exploring questions around networks and recommendation is hard because they invariably depend on the interaction between more than one user. We describe a research platform that we have built that helps us answer network-centric research questions. We present an overview of the system and demonstrate its usefulness through an example study involving directed suggestions between pairs of participants. As a useful side-effect, it is also helping us collect data about people’s preferences in social networks." @default.
- W2401666504 created "2016-06-24" @default.
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- W2401666504 date "2013-01-01" @default.
- W2401666504 modified "2023-09-23" @default.
- W2401666504 title "A Research Platform for Recommendation within Social Networks." @default.
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