Lars Schmidt-Thieme

2021

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A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning.
Ahmed Rashed|Josif Grabocka|Lars Schmidt-Thieme
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

2018

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Towards Distributed Pairwise Ranking using Implicit Feedback.
Mohsan Jameel|Nicolas Schilling|Lars Schmidt-Thieme
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

2017

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On Discovering the Number of Document Topics via Conceptual Latent Space.
Nghia Duong-Trung|Lars Schmidt-Thieme
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

2016

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Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression.
Nghia Duong-Trung|Nicolas Schilling|Lars Schmidt-Thieme
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

2014

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Optimizing Multi-Relational Factorization Models for Multiple Target Relations.
Lucas Rêgo Drumond|Ernesto Diaz-Aviles|Lars Schmidt-Thieme|Wolfgang Nejdl
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014

2013

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Towards real-time collaborative filtering for big fast data.
Ernesto Diaz-Aviles|Wolfgang Nejdl|Lucas Drumond|Lars Schmidt-Thieme
22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, Companion Volume

2012

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What is happening right now ... that interests me?: online topic discovery and recommendation in twitter.
Ernesto Diaz-Aviles|Lucas Drumond|Zeno Gantner|Lars Schmidt-Thieme|Wolfgang Nejdl
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012
doi dblp
Multi-relational matrix factorization using bayesian personalized ranking for social network data.
Artus Krohn-Grimberghe|Lucas Drumond|Christoph Freudenthaler|Lars Schmidt-Thieme
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, WSDM 2012, Seattle, WA, USA, February 8-12, 2012

2011

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Fast context-aware recommendations with factorization machines.
Steffen Rendle|Zeno Gantner|Christoph Freudenthaler|Lars Schmidt-Thieme
Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011

2010

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Pairwise interaction tensor factorization for personalized tag recommendation.
Steffen Rendle|Lars Schmidt-Thieme
Proceedings of the Third International Conference on Web Search and Web Data Mining, WSDM 2010, New York, NY, USA, February 4-6, 2010
doi dblp
Factorizing personalized Markov chains for next-basket recommendation.
Steffen Rendle|Christoph Freudenthaler|Lars Schmidt-Thieme
Proceedings of the 19th International Conference on World Wide Web, WWW 2010, Raleigh, North Carolina, USA, April 26-30, 2010

2004

doi dblp
Taxonomy-driven computation of product recommendations.
Cai-Nicolas Ziegler|Georg Lausen|Lars Schmidt-Thieme
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, Washington, DC, USA, November 8-13, 2004