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ORCIDCollaborative Recommendations, 2018
- Shlomo Berkovsky
, Iván Cantador, Domonkos Tikk:
Collaborative Recommendations - Algorithms, Practical Challenges and Applications. WorldScientific 2018, ISBN 978-981-3275-34-8 - Dietmar Jannach, Markus Zanker:
Collaborative Filtering: Matrix Completion and Session-Based Recommendation Tasks. 1-34 - Evgeny Frolov, Ivan V. Oseledets:
Matrix Factorization for Collaborative Recommendations. 35-78 - Balázs Hidasi:
Cutting-Edge Collaborative Recommendation Algorithms: Deep Learning. 79-126 - Michal Kompan, Peter Gaspar, Mária Bieliková:
Hybrid Collaborative Recommendations: Practical Considerations and Tools to Develop a Recommender. 127-172 - Yong Zheng, Bamshad Mobasher:
Context-Aware Recommendations. 173-202 - Ludovico Boratto, Alexander Felfernig:
Group Recommendations. 203-232 - Paolo Cremonesi, Franca Garzotto, Maurizio Ferrari Dacrema:
User Preference Sources: Explicit vs. Implicit Feedback. 233-252 - Mehdi Elahi, Matthias Braunhofer, Tural Gurbanov, Francesco Ricci:
User Preference Elicitation, Rating Sparsity and Cold Start. 253-294 - Alejandro Bellogín, Alan Said:
Offline and Online Evaluation of Recommendations. 295-328 - Pasquale Lops, Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Marco Polignano, Giovanni Semeraro:
Recommendations Biases and Beyond-Accuracy Objectives in Collaborative Filtering. 329-368 - Evangelia Christakopoulou, Shaden Smith, Mohit Sharma, Alex Richards, David C. Anastasiu, George Karypis:
Scalability and Distribution of Collaborative Recommenders. 369-404 - Neil J. Hurley:
Robustness and Attacks on Recommenders. 405-430 - Qiang Tang:
Privacy in Collaborative Recommenders. 431-464 - Shahin Sefati, Jan Neumann, Hassan Sayyadi:
TV and Movie Recommendations: The Comcast Case. 465-479 - Dietmar Jannach, Iman Kamehkhosh, Geoffray Bonnin:
Music Recommendations. 481-518 - Javier Sanz-Cruzado, Pablo Castells:
Contact Recommendations in Social Networks. 519-569 - Katja Niemann, Daniel Kohlsdorf, Fabian Abel:
Job Recommendations: The XING Case. 571-598 - Maya Hristakeva, Daniel Kershaw, Benjamin Pettit, Saúl Vargas, Kris Jack:
Academic Recommendations: The Mendeley Case. 599-625 - Panagiotis Symeonidis, Dimitrios Malakoudis:
MoocRec.com: Massive Open Online Courses Recommender System. 627-651 - Christoph Trattner, David Elsweiler:
Food Recommendations. 653-685 - Antonino Freno:
Clothing Recommendations: The Zalando Case. 687-711
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