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ORCIDKDD Cup 2011
- Gideon Dror, Yehuda Koren, Markus Weimer:
Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011. JMLR Proceedings 18, JMLR.org 2012
Introduction
- Gideon Dror, Noam Koenigstein, Yehuda Koren, Markus Weimer:
The Yahoo! Music Dataset and KDD-Cup '11. 8-18
Track 1
- Po-Lung Chen, Chen-Tse Tsai, Yao-Nan Chen, Ku-Chun Chou, Chun-Liang Li, Cheng-Hao Tsai, Kuan-Wei Wu, Yu-Cheng Chou, Chung-Yi Li, Wei-Shih Lin, Shu-Hao Yu, Rong-Bing Chiu, Chieh-Yen Lin, Chien-Chih Wang, Po-Wei Wang, Wei-Lun Su, Chen-Hung Wu, Tsung-Ting Kuo, Todd G. McKenzie, Ya-Hsuan Chang, Chun-Sung Ferng, Chia-Mau Ni, Hsuan-Tien Lin, Chih-Jen Lin, Shou-De Lin:
A Linear Ensemble of Individual and Blended Models for Music Rating Prediction. 21-60 - Michael Jahrer, Andreas Töscher:
Collaborative Filtering Ensemble. 61-74 - Zhao Zheng, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu:
Rating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models. 75-97
Track 2
- Todd G. McKenzie, Chun-Sung Ferng, Yao-Nan Chen, Chun-Liang Li, Cheng-Hao Tsai, Kuan-Wei Wu, Ya-Hsuan Chang, Chung-Yi Li, Wei-Shih Lin, Shu-Hao Yu, Chieh-Yen Lin, Po-Wei Wang, Chia-Mau Ni, Wei-Lun Su, Tsung-Ting Kuo, Chen-Tse Tsai, Po-Lung Chen, Rong-Bing Chiu, Ku-Chun Chou, Yu-Cheng Chou, Chien-Chih Wang, Chen-Hung Wu, Hsuan-Tien Lin, Chih-Jen Lin, Shou-De Lin:
Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation. 101-135 - Siwei Lai, Yang Liu, Huxiang Gu, Liheng Xu, Kang Liu, Shiming Xiang, Jun Zhao, Rui Diao, Liang Xiang, Hang Li, Dong Wang:
Hybrid Recommendation Models for Binary User Preference Prediction Problem. 137-151 - Michael Jahrer, Andreas Töscher:
Collaborative Filtering Ensemble for Ranking. 153-167 - Andriy Mnih:
Taxonomy-Informed Latent Factor Models for Implicit Feedback. 169-181 - Jianjun Xie, Scott Leishman, Liang Tian, David Lisuk, Seongjoon Koo, Matthias Blume:
Feature Engineering in User's Music Preference Prediction. 183-197 - Suhrid Balakrishnan, Rensheng Wang, Carlos Eduardo Scheidegger, Angus MacLellan, Yifan Hu, Aaron Archer, Shankar Krishnan, David L. Applegate, Guangqin Ma, S. Tom Au:
Combining Predictors for Recommending Music: the False Positives' approach to KDD Cup track 2. 199-213 - Hang Zhang, Eric Riedl, Valery A. Petrushin, Siddharth Pal, Jacob Spoelstra:
Committee Based Prediction System for Recommendation: KDD Cup 2011, Track2. 215-229 - Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme:
Personalized Ranking for Non-Uniformly Sampled Items. 231-247 - Joseph S. Kong, Kyle Teague, Justin Kessler:
The Love-Hate Square Counting Method for Recommender Systems. 249-261
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