Amin Mantrach

According to our database1, Amin Mantrach authored at least 28 papers between 2008 and 2023.

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

Timeline

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Bibliography

2023
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Position-Aware Deep Character-Level CTR Prediction for Sponsored Search.
IEEE Trans. Knowl. Data Eng., 2021

Unsupervised domain adaptation with non-stochastic missing data.
Data Min. Knowl. Discov., 2021

2020
Improving News Personalization Through Search Logs.
Proceedings of the Bias and Social Aspects in Search and Recommendation, 2020

2019
Enlisting the Public to Build a Healthier Web Information Commons.
Proceedings of the World Wide Web Conference, 2019

2017
A bag-of-paths framework for network data analysis.
Neural Networks, 2017

Exploiting search history of users for news personalization.
Inf. Sci., 2017

Deep Character-Level Click-Through Rate Prediction for Sponsored Search.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016
How to Compete Online for News Audience: Modeling Words that Attract Clicks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Improving Profiles of Weakly-Engaged Users - With Applications to Recommender Systems.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2016

The Role of Relevance in Sponsored Search.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Evolution of Conversations in the Age of Email Overload.
Proceedings of the 24th International Conference on World Wide Web, 2015

HEADS: Headline Generation as Sequence Prediction Using an Abstract Feature-Rich Space.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Leveraging Social Context for Modeling Topic Evolution.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Dynamic Matrix Factorization with Priors on Unknown Values.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
The Sum-over-Forests Density Index: Identifying Dense Regions in a Graph.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

The ARCOMEM Architecture for Social- and Semantic-Driven Web Archiving.
Future Internet, 2014

A time-based collective factorization for topic discovery and monitoring in news.
Proceedings of the 23rd International World Wide Web Conference, 2014

Random walks based modularity: application to semi-supervised learning.
Proceedings of the 23rd International World Wide Web Conference, 2014

The Geography of Online News Engagement.
Proceedings of the Social Informatics, 2014

Item cold-start recommendations: learning local collective embeddings.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2012
Extension of the Rocchio Classification Method to Multi-modal Categorization of Documents in Social Media.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

A Mailbox Search Engine Using Query Multi-modal Expansion and Community-Based Smoothing.
Proceedings of the Advances in Information Retrieval, 2012

A General Framework for People Retrieval in Social Media with Multiple Roles.
Proceedings of the Advances in Information Retrieval, 2012

2011
Semi-supervised classification and betweenness computation on large, sparse, directed graphs.
Pattern Recognit., 2011

People Retrieval Leveraging Textual and Social Data.
Proceedings of the KDIR 2011, 2011

2010
The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

2008
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008


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