NDLI: A Unified Energy-based Framework for Learning to Rank

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A Unified Energy-based Framework for Learning to Rank

Content Provider	ACM Digital Library
Author	Fang, Yi Liu, Mengwen
Abstract	Learning to Rank (L2R) has emerged as one of the core machine learning techniques for IR. On the other hand, Energy-Based Models (EBMs) capture dependencies between variables by associating a scalar energy to each configuration of the variables. They have produced impressive results in many computer vision and speech recognition tasks. In this paper, we introduce a unified view of Learning to Rank that integrates various L2R approaches in an energy-based ranking framework. In this framework, an energy function associates low energies to desired documents and high energies to undesired results. Learning is essentially the process of shaping the energy surface so that desired documents have lower energies. The proposed framework yields new insights into learning to rank. First, we show how various existing L2R models (pointwise, pairwise, and listwise) can be cast in the energy-based framework. Second, new L2R models can be constructed based on existing EBMs. Furthermore, inspired by the intuitive learning process of EBMs, we can devise novel energy-based models for ranking tasks. We introduce several new energy-based ranking models based on the proposed framework. The experiments are conducted on the public LETOR 4.0 benchmarks and demonstrate the effectiveness of the proposed models.
Starting Page	171
Ending Page	180
Page Count	10
File Format	PDF
ISBN	9781450344975
DOI	10.1145/2970398.2970416
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Energy-based models Learning to rank
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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