Azin Ashkan

According to our database, Azin Ashkan authored at least 30 papers between 2006 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Revisiting Online Personal Search Metrics with the User in Mind.

Azin Ashkan, Donald Metzler

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2017

Does Weather Matter?: Causal Analysis of TV Logs.

Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Get to the Bottom: Causal Analysis for User Modeling.

Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Zheng Wen

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

2016

Just One More: Modeling Binge Watching Behavior.

William Trouleau, Azin Ashkan, Weicong Ding, Brian Eriksson

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Cache content-selection policies for streaming video services.

Stefan Dernbach, Nina Taft, Jim Kurose, Udi Weinsberg, Christophe Diot, Azin Ashkan

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

2015

Cascading Bandits.

Branislav Kveton, Csaba Szepesvári, Zheng Wen, Azin Ashkan

CoRR, 2015

Combinatorial Cascading Bandits.

Branislav Kveton, Zheng Wen, Azin Ashkan, Csaba Szepesvári

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Optimal Greedy Diversity for Recommendation.

Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Efficient Learning in Large-Scale Combinatorial Semi-Bandits.

Zheng Wen, Branislav Kveton, Azin Ashkan

Proceedings of the 32nd International Conference on Machine Learning, 2015

Cascading Bandits: Learning to Rank in the Cascade Model.

Branislav Kveton, Csaba Szepesvári, Zheng Wen, Azin Ashkan

Proceedings of the 32nd International Conference on Machine Learning, 2015

Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits.

Branislav Kveton, Zheng Wen, Azin Ashkan, Csaba Szepesvári

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Location- and Query-Aware Modeling of Browsing and Click Behavior in Sponsored Search.

Azin Ashkan, Charles L. A. Clarke

ACM Trans. Intell. Syst. Technol., 2014

Efficient Learning in Large-Scale Combinatorial Semi-Bandits.

Zheng Wen, Azin Ashkan, Hoda Eydgahi, Branislav Kveton

CoRR, 2014

Learning to Act Greedily: Polymatroid Semi-Bandits.

Branislav Kveton, Zheng Wen, Azin Ashkan, Michal Valko

CoRR, 2014

DUM: Diversity-Weighted Utility Maximization for Recommendations.

Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen

CoRR, 2014

Matroid Bandits: Fast Combinatorial Optimization with Learning.

Branislav Kveton, Zheng Wen, Azin Ashkan, Hoda Eydgahi, Brian Eriksson

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Diversified Utility Maximization for Recommendations.

Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen

Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

2013

Characterizing User Search Intent and Behavior for Click Analysis in Sponsored Search.

Azin Ashkan

PhD thesis, 2013

Impact of query intent and search context on clickthrough behavior in sponsored search.

Azin Ashkan, Charles L. A. Clarke

Knowl. Inf. Syst., 2013

2012

Modeling browsing behavior for click analysis in sponsored search.

Azin Ashkan, Charles L. A. Clarke

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

On the informativeness of cascade and intent-aware effectiveness measures.

Azin Ashkan, Charles L. A. Clarke

Proceedings of the 20th International Conference on World Wide Web, 2011

A comparative analysis of cascade measures for novelty and diversity.

Charles L. A. Clarke, Nick Craswell, Ian Soboroff, Azin Ashkan

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

2009

In the Mood to Click? Towards Inferring Receptiveness to Search Advertising.

Qi Guo, Eugene Agichtein, Charles L. A. Clarke, Azin Ashkan

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Estimating Ad Clickthrough Rate through Query Intent Analysis.

Azin Ashkan, Charles L. A. Clarke, Eugene Agichtein, Qi Guo

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Term-based commercial intent analysis.

Azin Ashkan, Charles L. A. Clarke

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Classifying and Characterizing Query Intent.

Azin Ashkan, Charles L. A. Clarke, Eugene Agichtein, Qi Guo

Proceedings of the Advances in Information Retrieval, 2009

Clustering web queries.

John S. Whissell, Charles L. A. Clarke, Azin Ashkan

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Characterizing commercial intent.

Azin Ashkan, Charles L. A. Clarke

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Novelty and diversity in information retrieval evaluation.

Charles L. A. Clarke, Maheedhar Kolla, Gordon V. Cormack, Olga Vechtomova, Azin Ashkan, Stefan Büttcher, Ian MacKinnon

Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

2006

Evaluating Architectural Stability Using a Metric-Based Approach.

Subrina Anjum Tonu, Azin Ashkan, Ladan Tahvildari

Proceedings of the 10th European Conference on Software Maintenance and Reengineering (CSMR 2006), 2006