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- research-articleMarch 2017
BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation
IUI '17: Proceedings of the 22nd International Conference on Intelligent User InterfacesPages 45–54https://doi.org/10.1145/3025171.3025211Feature-based matrix factorization techniques such as Factorization Machines (FM) have been proven to achieve impressive accuracy for the rating prediction task. However, most common recommendation scenarios are formulated as a top-N item ranking ...
- research-articleSeptember 2016
Job recommendation with Hawkes process: an effective solution for RecSys Challenge 2016
RecSys Challenge '16: Proceedings of the Recommender Systems ChallengeArticle No.: 11, Pages 1–4https://doi.org/10.1145/2987538.2987543The RecSys Challenge 2016 focuses on the prediction of users' interest in clicking a job posting in the career-oriented social networking site Xing. Given users' profile, the content of the job posting, as well as the historical activities of users, we ...