Cornac: A comparative framework for multimodal recommender systems
Cornac
is an open-source Python framework for multimodal recommender systems. In
addition to core utilities for accessing, building, evaluating, and comparing
recommender models, Cornac is distinctive in putting emphasis on
recommendation models that leverage auxiliary information in the form of a
social network, item textual descriptions, product images, etc. Such
multimodal auxiliary data supplement user-item interactions (e.g., ratings,
clicks), which tend to be sparse in practice. To facilitate broad adoption
and community contribution, Cornac is publicly available at
https://github.com/PreferredAI/cornac, and it can be installed via Anaconda
or the Python Package Index (pip). Not only is it well-covered by unit tests
to ensure code quality, but it is also accompanied with a detailed
documentation, tutorials, examples, and several built-in benchmarking data
sets. |