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WrapRec is an easy-to-use Recommender Systems toolkit which allows users to easily implement or wrap recommen-dation algorithms from other frameworks. The main goals of WrapRec are to provide a flexible I/O, evaluation mech-anism and code reusability. WrapRec provides a rich data model which makes it easy to implement algorithms for dif-ferent recommender system problems, such as context-aware and cross-domain recommendation. The toolkit is written in C# and the source code is publicly available on Github under the GPL license.

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  • Babak Loni

  • Alan Said

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