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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

[edit]

Volume 18: Proceedings of KDD Cup 2011, 21 August 2011,

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Editors: Gideon Dror, Yehuda Koren, Markus Weimer

[bib][citeproc]

Contents:

  • Introduction
  • Track 1
  • Track 2

Filter Authors: Filter Titles:

Introduction

The Yahoo! Music Dataset and KDD-Cup’11

; Proceedings of KDD Cup 2011, PMLR 18:3-18

[abs][Download PDF]

Track 1

A Linear Ensemble of Individual and Blended Models for Music Rating Prediction

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; Proceedings of KDD Cup 2011, PMLR 18:21-60

[abs][Download PDF]

Collaborative Filtering Ensemble

Michael Jahrer, Andreas Töscher; Proceedings of KDD Cup 2011, PMLR 18:61-74

[abs][Download PDF]

Rating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models

Zhao Zheng, Tianqi Chen, Nathan Liu, Qiang Yang, Yong Yu; Proceedings of KDD Cup 2011, PMLR 18:75-97

[abs][Download PDF]

Track 2

Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation

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; Proceedings of KDD Cup 2011, PMLR 18:101-135

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Hybrid Recommendation Models for Binary User Preference Prediction Problem

Siwei Lai, Yang Liu, Huxiang Gu, Liheng Xu, Kang Liu, Shiming Xiang, Jun Zhao, Rui Diao, Liang Xiang, Hang Li, Dong Wang; Proceedings of KDD Cup 2011, PMLR 18:137-151

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Collaborative Filtering Ensemble for Ranking

Michael Jahrer, Andreas Töscher; Proceedings of KDD Cup 2011, PMLR 18:153-167

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Taxonomy-Informed Latent Factor Models for Implicit Feedback

Andriy Mnih; Proceedings of KDD Cup 2011, PMLR 18:169-181

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Feature Engineering in User’s Music Preference Prediction

Jianjun Xie, Scott Leishman, Liang Tian, David Lisuk, Seongjoon Koo, Matthias Blume; Proceedings of KDD Cup 2011, PMLR 18:183-197

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Combining Predictors for Recommending Music:the False Positives’ approach to KDD Cup track 2

Suhrid Balakrishnan, Rensheng Wang, Carlos Scheidegger, Angus MacLellan, Yifan Hu, Aaron Archer, Shankar Krishnan, David Applegate, Guang Qin Ma, S. Tom Au; Proceedings of KDD Cup 2011, PMLR 18:199-213

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Committee Based Prediction System for Recommendation: KDD Cup 2011, Track2

Hang Zhang, Eric Riedl, Valery Petrushin, Siddharth Pal, Jacob Spoelstra; Proceedings of KDD Cup 2011, PMLR 18:215-229

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Personalized Ranking for Non-Uniformly Sampled Items

Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme; Proceedings of KDD Cup 2011, PMLR 18:231-247

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The Love-Hate Square Counting Method for Recommender Systems

Joseph S. Kong, Kyle Teague, Justin Kessler; Proceedings of KDD Cup 2011, PMLR 18:249-261

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