论文信息 - Open Source Software Recommendations Using Github

Open Source Software Recommendations Using Github

The focus of this work is on providing an open source software recommendations using the Github API. Specifically, we propose a hybrid method that considers the programming languages, topics and README documents that appear in the users’ repositories. To demonstrate our approach, we implement a proof of concept that provides recommendations.

[1] Kostas Stefanidis,et al. Cluster-based Contextual Recommendations. , 2016, EDBT 2016.

[2] Evaggelia Pitoura,et al. Managing contextual preferences , 2011, Inf. Syst..

[3] Bamshad Mobasher,et al. A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms , 2008, IEEE Data Eng. Bull..

[4] Kostas Stefanidis,et al. On Achieving Diversity in Recommender Systems , 2017, ExploreDB@SIGMOD/PODS.

[5] Hans-Peter Kriegel,et al. "Strength Lies in Differences": Diversifying Friends for Recommendations through Subspace Clustering , 2014, CIKM.

[6] Gediminas Adomavicius,et al. Multi-Criteria Recommender Systems , 2011, Recommender Systems Handbook.

[7] Georgia Koutrika,et al. A survey on representation, composition and application of preferences in database systems , 2011, TODS.