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- W2279375812 abstract "Numerous services (email, motion sensor, etc.) emerge and tend to function more comprehensively. What comes with this is the increasing attention to collaboration between them. For example, IFTTT (IF This Then That) enables people to set triggering relationships between various services to be automatically implemented in the cloud. RelRec is an triggering object relationship recommender system, building a bipartite graph representing the relationships between services. We propose an algorithm to rate relationships by similarity, and diversify the results by a modified classic method from graph theory." @default.
- W2279375812 created "2016-06-24" @default.
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- W2279375812 date "2013-01-01" @default.
- W2279375812 modified "2023-10-03" @default.
- W2279375812 title "RelRec: A Graph-Based Triggering Object Relationship Recommender System" @default.
- W2279375812 cites W2042281163 @default.
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- W2279375812 doi "https://doi.org/10.1007/978-3-642-37450-0_39" @default.
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