RecSysKTL

Keyphrases

Publications

2017

Simon Bremer, Alan Schelten, Enrico Lohmann, Martin Kleinsteuber
A Framework for Training Hybrid Recommender Systems. RecSysKTL (2017)
Vito Walter Anelli, Tommaso Di Noia, Pasquale Lops, Eugenio Di Sciascio
Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance. RecSysKTL (2017)
Anders Kolstad, Özlem Özgöbek, Jon Atle Gulla, Simon Litlehamar
Rethinking Conventional Collaborative Filtering for Recommending Daily Fashion Outfits. RecSysKTL (2017)
Vidyadhar Rao, Rosni K. V, Vineet Padmanabhan
Divide and Transfer: Understanding Latent Factors for Recommendation Tasks. RecSysKTL (2017)
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Tailoring Recommendations for a Multi-Domain Environment. RecSysKTL (2017)
Shaghayegh Sahebi, Peter Brusilovsky, Vladimir Bobrokov
Cross-Domain Recommendation for Large-Scale Data. RecSysKTL (2017)
Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang, Zhong Ming
Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation. RecSysKTL (2017)

volume 1887, 2017

Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27, 2017. RecSysKTL 1887 (2017)