recsys 2016 论文列表Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 16, 2016. |
Recurrent Neural Networks for Customer Purchase Prediction on Twitter.
Learning-to-Rank in Research Paper CBF recommendation: Leveraging Irrelevant Papers.
Quote Recommendation for Dialogs and Writings.
ReDyAl: A Dynamic Recommendation Algorithm based on Linked Data.
Iacopo Vagliano Cristhian Figueroa Oscar Rodriguez Rocha Marco Torchiano Catherine Faron-Zucker Maurizio Morisio
RDF Graph Embeddings for Content-based Recommender Systems.
Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews.
Using Visual Features and Latent Factors for Movie Recommendation.
News Article Position Recommendation Based on the Analysis of Article's Content - Time Matters.
Combining Content-based and Collaborative Filtering for Personalized Sports News Recommendations.