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ORCIDCBRecSys@RecSys 2016: Boston, MA, USA
- Toine Bogers, Marijn Koolen, Cataldo Musto, Pasquale Lops, Giovanni Semeraro:
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. CEUR Workshop Proceedings 1673, CEUR-WS.org 2016
Accepted Papers
- Philip Lenhart, Daniel Herzog:
Combining Content-based and Collaborative Filtering for Personalized Sports News Recommendations. 3-10 - Parisa Lak, Ceni Babaoglu, Ayse Basar Bener, Pawel Pralat:
News Article Position Recommendation Based on the Analysis of Article's Content - Time Matters. 11-14 - Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi:
Using Visual Features and Latent Factors for Movie Recommendation. 15-18 - Konstantin Bauman, Bing Liu, Alexander Tuzhilin:
Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. 19-22 - Jessica Rosati, Petar Ristoski, Tommaso Di Noia, Renato De Leone, Heiko Paulheim:
RDF Graph Embeddings for Content-based Recommender Systems. 23-30 - Iacopo Vagliano, Cristhian Figueroa, Oscar Rodriguez Rocha
, Marco Torchiano, Catherine Faron-Zucker, Maurizio Morisio:
ReDyAl: A Dynamic Recommendation Algorithm based on Linked Data. 31-38 - Yeonchan Ahn, Hanbit Lee, Heesik Jeon, Seungdo Ha, Sang-goo Lee:
Quote Recommendation for Dialogs and Writings. 39-42 - Anas Alzoghbi, Victor Anthony Arrascue Ayala, Peter M. Fischer, Georg Lausen:
Learning-to-Rank in Research Paper CBF recommendation: Leveraging Irrelevant Papers. 43-46 - Mandy Korpusik, Shigeyuki Sakaki, Francine Chen, Yan-Ying Chen:
Recurrent Neural Networks for Customer Purchase Prediction on Twitter. 47-50
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