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OpenRec
2018
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18
With the increasing demand for deeper understanding of users' preferences, recommender systems have gone beyond simple user-item ltering and are increasingly sophisticated, comprised of multiple components for analyzing and fusing diverse information. Unfortunately, existing frameworks do not adequately support extensibility and adaptability and consequently pose signi cant challenges to rapid, iterative, and systematic, experimentation. In this work, we propose OpenRec, an open and modular
doi:10.1145/3159652.3159681
dblp:conf/wsdm/YangBGHE18
fatcat:ev43dr4bp5emnopg4gnrxjszua