Ke Zhou

According to our database1, Ke Zhou authored at least 19 papers between 2008 and 2014.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2014
Learning the Gain Values and Discount Factors of Discounted Cumulative Gains.
IEEE Trans. Knowl. Data Eng., 2014

2013
Learning multiple-question decision trees for cold-start recommendation.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation.
Proceedings of the IJCAI 2013, 2013

Learning Triggering Kernels for Multi-dimensional Hawkes Processes.
Proceedings of the 30th International Conference on Machine Learning, 2013

Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Learning the Hotness of Information Diffusions with Multi-dimensional Hawkes Processes.
Proceedings of the Agents and Data Mining Interaction - 9th International Workshop, 2013

2012
Leveraging Auxiliary Data for Learning to Rank.
ACM Trans. Intell. Syst. Technol., 2012

Multi-task learning to rank for web search.
Pattern Recognit. Lett., 2012

Learning the Gain Values and Discount Factors of DCG
CoRR, 2012

Learning binary codes for collaborative filtering.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Collaborative ranking: improving the relevance for tail queries.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Dimensionality Reduction and Topic Modeling: From Latent Semantic Indexing to Latent Dirichlet Allocation and Beyond.
Proceedings of the Mining Text Data, 2012

2011
Video summarization via transferrable structured learning.
Proceedings of the 20th International Conference on World Wide Web, 2011

Functional matrix factorizations for cold-start recommendation.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2010
Learning with Positive and Unlabeled Examples Using Topic-Sensitive PLSA.
IEEE Trans. Knowl. Data Eng., 2010

2009
Enhancing diversity, coverage and balance for summarization through structure learning.
Proceedings of the 18th International Conference on World Wide Web, 2009

Global ranking by exploiting user clicks.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Multi-task learning for learning to rank in web search.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Learning to rank with ties.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008


  Loading...