Glossary
- Entity:
-
A sample in a relational dataset (also referred as a node in a network).
- Matrix factorization:
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This is the process of factorizing a matrix into a product of two or more matrices.
- Neighborhood:
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Nodes which are linked together in a relational dataset form a neighborhood. For nonrelational dataset, samples which are similar to each other based on certain metric, form a neighborhood.
- Node:
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A vertex in a graph.
- Recommender systems:
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A class of algorithms which recommends items to users depending on the users’ past history.
- Relational network:
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A dataset represented as a graph in which the nodes correspond to entities and edges correspond to relationships between the entities.
- Support vector machine:
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A discriminative classifier defined by a hyperplane obtained from a set of points in the feature space of input data. These points are known...
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Saha, T., Rangwala, H., Domeniconi, C. (2017). Relational Network Classification and it’s Applications in Recommender Systems. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_110164-1
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