Manifold Learning for Rank Aggregation

Author:

Liang Shangsong1,Markov Ilya2,Ren Zhaochun3,de Rijke Maarten2

Affiliation:

1. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

2. University of Amsterdam, Amsterdam, Netherlands

3. JD.com, Beijing, China

Funder

Criteo Faculty Research Award program

European Community's Seventh Framework Programme

Microsoft Research Ph.D.program

Netherlands Organisation for Scientific Research (NWO)

Bloomberg Research Grant program

Elsevier

Yandex

Ahold Delhaize

Amsterdam Data Science

Netherlands Institute for Sound and Vision

Google Faculty Research Awards

Publisher

ACM Press

Reference40 articles.

1. J. A. Aslam and M. Montague. Models for metasearch. In SIGIR, pages 276--284, New Orleans, Louisiana, USA, 2001. ACM.

2. A. Bhowmik and J. Ghosh. Letor methods for unsupervised rank aggregation. In WWW, pages 1331--1340, 2017.

3. I. Caragiannis, X. Chatzigeorgiou, G. A. Krimpas, and A. A. Voudouris. Optimizing positional scoring rules for rank aggregation. In AAAI, pages 430--436, 2017.

4. W. B. Croft, D. Metzler, and T. Strohman. Search engines: Information retrieval in practice. Addison-Wesley Reading, 2015.

5. er(2011)]csiszar2011informationI. Csiszar and J. Körner. Information theory: coding theorems for discrete memoryless systems. Cambridge University Press, 2011.

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