NDLI: Automatic construction of an evaluation dataset from wisdom of the crowds for information retrieval applications

Content Provider	IEEE Xplore Digital Library
Author	Chieh-Jen Wang Hung-Sheng Huang Hsin-Hsi Chen
Copyright Year	2012
Description	Author affiliation: Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan (Chieh-Jen Wang; Hung-Sheng Huang; Hsin-Hsi Chen)
Abstract	A benchmark evaluation dataset which reflects users' search behaviors in the real world is indispensable for evaluating the performance of information retrieval applications. A typical evaluation dataset consists of a document set, a topic set and relevance judgments. Manual preparation of an evaluation dataset needs much human cost, and human-made topics may not fully capture users' real search needs. This paper aims at automatically constructing an evaluation dataset from wisdom of the crowds in search query logs for information retrieval applications. We begin with collecting documents of clicked documents in search query logs, selecting suitable queries in terms of topics, sampling documents from the document collection for each query and estimating the multi-level relevance of document samples based on click count, normalized count and average count functions. The machine-made evaluation dataset is trained and tested by three learning to rank algorithms, including linear regression, $SVM^{Ran}k$ and FRank. We compare their performance on a testing collection MQ2007 of LETOR which is a well-known human-made benchmark dataset for learning to rank. The experimental results show that the performance tendency is similar by using machine-made and human-made evaluation datasets. That demonstrates our proposed models can construct an evaluation dataset with similar quality of human-made.
Starting Page	490
Ending Page	495
File Size	357301
Page Count	6
File Format	PDF
ISBN	9781467317139
e-ISBN	9781467317146
e-ISBN	9781467317122
DOI	10.1109/ICSMC.2012.6377772
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-14
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Linear regression Testing Information retrieval Humans Predictive models Measurement evaluation dataset construction retrieval evaluation search query logs analysis
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