Neural choice by elimination via highway networks Tran, Truyen, Phung, Dinh and Venkatesh, Svetha 2016, Neural choice by elimination via highway networks. In Cao, Huiping, Li, Jinyan and Wang, Ruili (ed), Trends and applications in knowledge discovery and data mining: PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, revised selected papers, Springer, Cham, Switzerland, pp.15-25, doi: 10.1007/978-3-319-42996-0_2. Attached Files Name Description MIMEType Size Downloads Title Neural choice by elimination via highway networks Author(s) Tran, Truyen orcid.org/0000-0001-6531-8907 Phung, Dinh orcid.org/0000-0002-9977-8247 Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Title of book Trends and applications in knowledge discovery and data mining: PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, revised selected papers Editor(s) Cao, Huiping Li, Jinyan Wang, Ruili Publication date 2016 Series Lecture notes in computer science Chapter number 2 Total chapters 23 Start page 15 End page 25 Total pages 12 Publisher Springer Place of Publication Cham, Switzerland Summary We introduce Neural Choice by Elimination, a new framework that integrates deep neural networks into probabilistic sequential choice models for learning to rank. Given a set of items to chose from, the elimination strategy starts with the whole item set and iteratively eliminates the least worthy item in the remaining subset. We prove that the choice by elimination is equivalent to marginalizing out the random Gompertz latent utilities. Coupled with the choice model is the recently introduced Neural Highway Networks for approximating arbitrarily complex rank functions. We evaluate the proposed framework on a large-scale public dataset with over 425K items, drawn from the Yahoo! learning to rank challenge. It is demonstrated that the proposed method is competitive against state-of-the-art learning to rank methods. ISBN 9783319429953 9783319429960 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-319-42996-0_2 Field of Research 080109 Pattern Recognition and Data Mining Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category B1 Book chapter ERA Research output type B Book chapter Copyright notice ©2016, Springer Persistent URL http://hdl.handle.net/10536/DRO/DU:30081491 Document type: Book Chapter Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA) Related Links Link Description   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 19 Feb 2016, 12:10:18 EST Sat, 20 Feb 2016, 04:02:13 EST Wed, 07 Sep 2016, 12:19:49 EST Thu, 08 Sep 2016, 06:08:30 EST Wed, 12 Oct 2016, 14:13:55 EST Wed, 12 Oct 2016, 14:16:19 EST Wed, 12 Oct 2016, 14:17:54 EST Wed, 11 Jan 2017, 09:47:41 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 447 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Wed, 07 Sep 2016, 12:19:49 EST

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