OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms


Recommendation algorithms have evolved from simple collaborative and content-based filtering into models that ingest and analyze a wide range of information. OpenRec provides a modular architecture for adapting state-of-the-art algorithms to heterogenous recommendation scenarios.

Alpha release: January 2018




Get Started

To install, run this command:

pip install openrec




Reference:

Longqi Yang, Eugene Bagdasaryan, Joshua Gruenstein, Cheng-Kang Hsieh, and Deborah Estrin. 2018. OpenRec: A Modular Framework for Extensible and Adaptable Recommendation Algorithms. In Proceedings of WSDM’18, February 5–9, 2018, Marina Del Rey, CA, USA, 9 pages. DOI: hŠttp://dx.doi.org/10.1145/3159652.3159681



Support

Longqi Yang | Email: ylongqi@cs.cornell.edu

Funders