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ORCIDRecSys 2015: Vienna, Austria - Posters
- Pablo Castells:
Poster Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, Vienna, Austria, September 16, 2015. CEUR Workshop Proceedings 1441, CEUR-WS.org 2015 - Maria Soledad Pera, Yiu-Kai Ng:
A Recommendation-Based Book-Exchange System Without Using Wish Lists. - Saúl Vargas, Craig Macdonald, Iadh Ounis:
Analysing Compression Techniques for In-Memory Collaborative Filtering. - Michele Galli, Davide Feltoni Gurini, Fabio Gasparetti, Alessandro Micarelli, Giuseppe Sansonetti:
Analysis of User-generated Content for Improving YouTube Video Recommendation. - Gabriel de Souza Pereira Moreira, Gilmar Alves de Souza, Adilson Marques da Cunha:
Comparing Offline and Online Recommender System Evaluations on Long-tail Distributions. - Eugenio Tacchini, Ramon Morros, Verónica Vilaplana, Enrique Sañoso:
Do You Have a Pop Face? Here is a Pop Song. Using Profile Pictures to Mitigate the Cold-start Problem in Music Recommender Systems. - Chih-Ming Chen, Po-Chuan Chien, Yu-Ching Lin, Ming-Feng Tsai, Yi-Hsuan Yang:
Do You Have a Pop Face? Here is a Pop Song. Using Profile Pictures to Mitigate the Cold-start Problem in Music Recommender Systems. - Nevena Dragovic, Maria Soledad Pera:
Exploiting Reviews to Guide Users' Selections. - Ladislav Peska, Peter Vojtás:
How to Interpret Implicit User Feedback? - Lei Liu, Jerry Liu, Shanchan Wu:
Image Discovery and Insertion for Custom Publishing. - Dietmar Jannach, Lukas Lerche, Michael Jugovac:
Item Familiarity Effects in User-Centric Evaluations of Recommender Systems. - Panagiotis Adamopoulos, Alexander Tuzhilin, Peter Mountanos:
Measuring the Concentration Reinforcement Bias of Recommender Systems. - Tim Donkers, Benedikt Loepp, Jürgen Ziegler:
Merging Latent Factors and Tags to Increase Interactive Control of Recommendations. - Roberto Turrin, Massimo Quadrana, Andrea Condorelli, Roberto Pagano, Paolo Cremonesi:
30Music Listening and Playlists Dataset. - Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher:
Network-Based Extension of Multi-Relational Factorization Models. - Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Next Basket Recommendation with Neural Networks. - Panagiotis Adamopoulos, Vilma Todri:
Personality-Based Recommendations: Evidence from Amazon.com. - Babak Loni, Martha A. Larson, Alexandros Karatzoglou, Alan Hanjalic:
Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines. - Shahrzad Karimi, Maria Soledad Pera:
Recommendations to Enhance Children Web Searches. - Moran Beladev, Bracha Shapira, Lior Rokach:
Recommender Systems for Product Bundling. - Hanbit Lee, Sang-goo Lee:
Style Recommendation for Fashion Items using Heterogeneous Information Network. - Emanuel Lacic, Dominik Kowald, Matthias Traub, Granit Luzhnica, Jörg Simon, Elisabeth Lex:
Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems. - Santiago Larrain, Denis Parra, Alvaro Soto:
Towards Improving Top-N Recommendation by Generalization of SLIM. - Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops:
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation.
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