NDLI: Temporal Query Expansion Using a Continuous Hidden Markov Model

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Temporal Query Expansion Using a Continuous Hidden Markov Model

Content Provider	ACM Digital Library
Author	Rao, Jinfeng Lin, Jimmy
Abstract	In standard formulations of pseudo-relevance feedback, document timestamps do not play a role in identifying expansion terms. Yet we know that when searching social media posts such as tweets, relevant documents are bursty and usually occur in temporal clusters. The main insight of our work is that term expansions should be biased to draw from documents that occur in bursty temporal clusters. This is formally captured by a continuous hidden Markov model (cHMM), for which we derive an EM algorithm for parameter estimation. Given a query, we estimate the parameters for a cHMM that best explains the observed distribution of an initial set of retrieved documents, and then use Viterbi decoding to compute the most likely state sequence. In identifying expansion terms, we only select documents from bursty states. Experiments on test collections from the TREC 2011 and 2012 Microblog tracks show that our approach is significantly more effective than the popular RM3 pseudo-relevance feedback model.
Starting Page	295
Ending Page	298
Page Count	4
File Format	PDF
ISBN	9781450344975
DOI	10.1145/2970398.2970424
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Pseudo-relevance feedback Tweet search
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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